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hashcat/OpenCL/inc_common.cl

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- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
/**
Added docs/credits.txt Added docs/team.txt
2016-09-11 20:20:15 +00:00
* Author......: See docs/credits.txt
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
* License.....: MIT
*/
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
/**
* pure scalar functions
*/
switch from clz() to ffz() for bitsliced algorithms
2016-08-31 11:35:08 +00:00
inline int ffz (const u32 v)
{
for (int i = 0; i < 32; i++)
{
if ((v >> i) & 1) continue;
return i;
}
return -1;
}
Add const qualifier to variable declaration of matching global memory objects
2016-11-22 19:20:34 +00:00
inline int hash_comp (const u32 d1[4], __global const u32 *d2)
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
{
if (d1[3] > d2[DGST_R3]) return ( 1);
if (d1[3] < d2[DGST_R3]) return (-1);
if (d1[2] > d2[DGST_R2]) return ( 1);
if (d1[2] < d2[DGST_R2]) return (-1);
if (d1[1] > d2[DGST_R1]) return ( 1);
if (d1[1] < d2[DGST_R1]) return (-1);
if (d1[0] > d2[DGST_R0]) return ( 1);
if (d1[0] < d2[DGST_R0]) return (-1);
return (0);
}
Add const qualifier to variable declaration of matching global memory objects
2016-11-22 19:20:34 +00:00
inline int find_hash (const u32 digest[4], const u32 digests_cnt, __global const digest_t *digests_buf)
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
{
for (u32 l = 0, r = digests_cnt; r; r >>= 1)
{
const u32 m = r >> 1;
const u32 c = l + m;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
const int cmp = hash_comp (digest, digests_buf[c].digest_buf);
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
if (cmp > 0)
{
l += m + 1;
r--;
}
if (cmp == 0) return (c);
}
return (-1);
}
Add const qualifier to variable declaration of matching global memory objects
2016-11-22 19:20:34 +00:00
inline u32 check_bitmap (__global const u32 *bitmap, const u32 bitmap_mask, const u32 bitmap_shift, const u32 digest)
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
{
return (bitmap[(digest >> bitmap_shift) & bitmap_mask] & (1 << (digest & 0x1f)));
}
Add const qualifier to variable declaration of matching global memory objects
2016-11-22 19:20:34 +00:00
inline u32 check (const u32 digest[4], __global const u32 *bitmap_s1_a, __global const u32 *bitmap_s1_b, __global const u32 *bitmap_s1_c, __global const u32 *bitmap_s1_d, __global const u32 *bitmap_s2_a, __global const u32 *bitmap_s2_b, __global const u32 *bitmap_s2_c, __global const u32 *bitmap_s2_d, const u32 bitmap_mask, const u32 bitmap_shift1, const u32 bitmap_shift2)
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
{
if (check_bitmap (bitmap_s1_a, bitmap_mask, bitmap_shift1, digest[0]) == 0) return (0);
if (check_bitmap (bitmap_s1_b, bitmap_mask, bitmap_shift1, digest[1]) == 0) return (0);
if (check_bitmap (bitmap_s1_c, bitmap_mask, bitmap_shift1, digest[2]) == 0) return (0);
if (check_bitmap (bitmap_s1_d, bitmap_mask, bitmap_shift1, digest[3]) == 0) return (0);
if (check_bitmap (bitmap_s2_a, bitmap_mask, bitmap_shift2, digest[0]) == 0) return (0);
if (check_bitmap (bitmap_s2_b, bitmap_mask, bitmap_shift2, digest[1]) == 0) return (0);
if (check_bitmap (bitmap_s2_c, bitmap_mask, bitmap_shift2, digest[2]) == 0) return (0);
if (check_bitmap (bitmap_s2_d, bitmap_mask, bitmap_shift2, digest[3]) == 0) return (0);
return (1);
}
Optimize handling of cracked hashes, was a bottleneck if too many at once
2016-05-20 16:24:33 +00:00
inline void mark_hash (__global plain_t *plains_buf, __global u32 *d_result, const int salt_pos, const int digest_pos, const int hash_pos, const u32 gid, const u32 il_pos)
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
{
We can safely replace atomic_add() with atomic_inc()
2016-05-21 08:58:58 +00:00
const u32 idx = atomic_inc (d_result);
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Optimize handling of cracked hashes, was a bottleneck if too many at once
2016-05-20 16:24:33 +00:00
plains_buf[idx].salt_pos = salt_pos;
plains_buf[idx].digest_pos = digest_pos; // relative
plains_buf[idx].hash_pos = hash_pos; // absolute
plains_buf[idx].gidvid = gid;
plains_buf[idx].il_pos = il_pos;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
}
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
/**
* vector functions
*/
- Added inline declaration to functions from simd.c, common.c, rp.c and types_ocl.c to increase performance - Dropped static declaration from functions in all kernel to achieve OpenCL 1.1 compatibility - Added -cl-std=CL1.1 to all kernel build options - Created environment variable to inform NVidia OpenCL runtime to not create its own kernel cache - Created environment variable to inform pocl OpenCL runtime to not create its own kernel cache
2016-05-01 21:15:26 +00:00
inline void truncate_block (u32x w[4], const u32 len)
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
{
switch (len)
{
case 0: w[0] &= 0;
w[1] &= 0;
w[2] &= 0;
w[3] &= 0;
break;
case 1: w[0] &= 0x000000FF;
w[1] &= 0;
w[2] &= 0;
w[3] &= 0;
break;
case 2: w[0] &= 0x0000FFFF;
w[1] &= 0;
w[2] &= 0;
w[3] &= 0;
break;
case 3: w[0] &= 0x00FFFFFF;
w[1] &= 0;
w[2] &= 0;
w[3] &= 0;
break;
case 4: w[1] &= 0;
w[2] &= 0;
w[3] &= 0;
break;
case 5: w[1] &= 0x000000FF;
w[2] &= 0;
w[3] &= 0;
break;
case 6: w[1] &= 0x0000FFFF;
w[2] &= 0;
w[3] &= 0;
break;
case 7: w[1] &= 0x00FFFFFF;
w[2] &= 0;
w[3] &= 0;
break;
case 8: w[2] &= 0;
w[3] &= 0;
break;
case 9: w[2] &= 0x000000FF;
w[3] &= 0;
break;
case 10: w[2] &= 0x0000FFFF;
w[3] &= 0;
break;
case 11: w[2] &= 0x00FFFFFF;
w[3] &= 0;
break;
case 12: w[3] &= 0;
break;
case 13: w[3] &= 0x000000FF;
break;
case 14: w[3] &= 0x0000FFFF;
break;
case 15: w[3] &= 0x00FFFFFF;
break;
}
}
- Added inline declaration to functions from simd.c, common.c, rp.c and types_ocl.c to increase performance - Dropped static declaration from functions in all kernel to achieve OpenCL 1.1 compatibility - Added -cl-std=CL1.1 to all kernel build options - Created environment variable to inform NVidia OpenCL runtime to not create its own kernel cache - Created environment variable to inform pocl OpenCL runtime to not create its own kernel cache
2016-05-01 21:15:26 +00:00
inline void make_unicode (const u32x in[4], u32x out1[4], u32x out2[4])
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
{
#ifdef IS_NV
out2[3] = __byte_perm (in[3], 0, 0x7372);
out2[2] = __byte_perm (in[3], 0, 0x7170);
out2[1] = __byte_perm (in[2], 0, 0x7372);
out2[0] = __byte_perm (in[2], 0, 0x7170);
out1[3] = __byte_perm (in[1], 0, 0x7372);
out1[2] = __byte_perm (in[1], 0, 0x7170);
out1[1] = __byte_perm (in[0], 0, 0x7372);
out1[0] = __byte_perm (in[0], 0, 0x7170);
#endif
Fix for -m 1500, -m 3000: Missing "defined" keyword Fix for -m 1000: MD4_H1 copy/paste error Fix for -m 8900, -m 9300: Invalid value for device_processor_cores for CPU devices Fix for -m 9100: Variable salt2 initializer needed some clauses for clearness Temporary limit gpu_accel for CPU devices to 1 for development phase Mark pocl as too bleeding edge for production use, recommend native drivers Remove workarounds for pocl Rename VENDOR_ID_UNKNOWN to VENDOR_ID_GENERIC in host code Rename IS_UNKNOWN to IS_GENERIC in kernel code
2016-01-07 19:14:34 +00:00
#if defined IS_AMD || defined IS_GENERIC
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
out2[3] = ((in[3] >> 8) & 0x00FF0000) | ((in[3] >> 16) & 0x000000FF);
out2[2] = ((in[3] << 8) & 0x00FF0000) | ((in[3] >> 0) & 0x000000FF);
out2[1] = ((in[2] >> 8) & 0x00FF0000) | ((in[2] >> 16) & 0x000000FF);
out2[0] = ((in[2] << 8) & 0x00FF0000) | ((in[2] >> 0) & 0x000000FF);
out1[3] = ((in[1] >> 8) & 0x00FF0000) | ((in[1] >> 16) & 0x000000FF);
out1[2] = ((in[1] << 8) & 0x00FF0000) | ((in[1] >> 0) & 0x000000FF);
out1[1] = ((in[0] >> 8) & 0x00FF0000) | ((in[0] >> 16) & 0x000000FF);
out1[0] = ((in[0] << 8) & 0x00FF0000) | ((in[0] >> 0) & 0x000000FF);
#endif
}
- Added inline declaration to functions from simd.c, common.c, rp.c and types_ocl.c to increase performance - Dropped static declaration from functions in all kernel to achieve OpenCL 1.1 compatibility - Added -cl-std=CL1.1 to all kernel build options - Created environment variable to inform NVidia OpenCL runtime to not create its own kernel cache - Created environment variable to inform pocl OpenCL runtime to not create its own kernel cache
2016-05-01 21:15:26 +00:00
inline void undo_unicode (const u32x in1[4], const u32x in2[4], u32x out[4])
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
{
#ifdef IS_NV
out[0] = __byte_perm (in1[0], in1[1], 0x6420);
out[1] = __byte_perm (in1[2], in1[3], 0x6420);
out[2] = __byte_perm (in2[0], in2[1], 0x6420);
out[3] = __byte_perm (in2[2], in2[3], 0x6420);
#endif
Fix for -m 1500, -m 3000: Missing "defined" keyword Fix for -m 1000: MD4_H1 copy/paste error Fix for -m 8900, -m 9300: Invalid value for device_processor_cores for CPU devices Fix for -m 9100: Variable salt2 initializer needed some clauses for clearness Temporary limit gpu_accel for CPU devices to 1 for development phase Mark pocl as too bleeding edge for production use, recommend native drivers Remove workarounds for pocl Rename VENDOR_ID_UNKNOWN to VENDOR_ID_GENERIC in host code Rename IS_UNKNOWN to IS_GENERIC in kernel code
2016-01-07 19:14:34 +00:00
#if defined IS_AMD || defined IS_GENERIC
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
out[0] = ((in1[0] & 0x000000ff) >> 0) | ((in1[0] & 0x00ff0000) >> 8)
| ((in1[1] & 0x000000ff) << 16) | ((in1[1] & 0x00ff0000) << 8);
out[1] = ((in1[2] & 0x000000ff) >> 0) | ((in1[2] & 0x00ff0000) >> 8)
| ((in1[3] & 0x000000ff) << 16) | ((in1[3] & 0x00ff0000) << 8);
out[2] = ((in2[0] & 0x000000ff) >> 0) | ((in2[0] & 0x00ff0000) >> 8)
| ((in2[1] & 0x000000ff) << 16) | ((in2[1] & 0x00ff0000) << 8);
out[3] = ((in2[2] & 0x000000ff) >> 0) | ((in2[2] & 0x00ff0000) >> 8)
| ((in2[3] & 0x000000ff) << 16) | ((in2[3] & 0x00ff0000) << 8);
#endif
}
- Added inline declaration to functions from simd.c, common.c, rp.c and types_ocl.c to increase performance - Dropped static declaration from functions in all kernel to achieve OpenCL 1.1 compatibility - Added -cl-std=CL1.1 to all kernel build options - Created environment variable to inform NVidia OpenCL runtime to not create its own kernel cache - Created environment variable to inform pocl OpenCL runtime to not create its own kernel cache
2016-05-01 21:15:26 +00:00
inline void append_0x01_1x4 (u32x w0[4], const u32 offset)
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
{
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
const u32 tmp = 0x01 << ((offset & 3) * 8);
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w0[0] |= (offset < 4) ? tmp : 0;
w0[1] |= ((offset >= 4) && (offset < 8)) ? tmp : 0;
w0[2] |= ((offset >= 8) && (offset < 12)) ? tmp : 0;
w0[3] |= (offset >= 12) ? tmp : 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
}
- Added inline declaration to functions from simd.c, common.c, rp.c and types_ocl.c to increase performance - Dropped static declaration from functions in all kernel to achieve OpenCL 1.1 compatibility - Added -cl-std=CL1.1 to all kernel build options - Created environment variable to inform NVidia OpenCL runtime to not create its own kernel cache - Created environment variable to inform pocl OpenCL runtime to not create its own kernel cache
2016-05-01 21:15:26 +00:00
inline void append_0x01_2x4 (u32x w0[4], u32x w1[4], const u32 offset)
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
{
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
const u32 tmp = 0x01 << ((offset & 3) * 8);
w0[0] |= (offset < 4) ? tmp : 0;
w0[1] |= ((offset >= 4) && (offset < 8)) ? tmp : 0;
w0[2] |= ((offset >= 8) && (offset < 12)) ? tmp : 0;
w0[3] |= ((offset >= 12) && (offset < 16)) ? tmp : 0;
w1[0] |= ((offset >= 16) && (offset < 20)) ? tmp : 0;
w1[1] |= ((offset >= 20) && (offset < 24)) ? tmp : 0;
w1[2] |= ((offset >= 24) && (offset < 28)) ? tmp : 0;
w1[3] |= (offset >= 28) ? tmp : 0;
}
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
inline void append_0x01_3x4 (u32x w0[4], u32x w1[4], u32x w2[4], const u32 offset)
{
const u32 tmp = 0x01 << ((offset & 3) * 8);
w0[0] |= (offset < 4) ? tmp : 0;
w0[1] |= ((offset >= 4) && (offset < 8)) ? tmp : 0;
w0[2] |= ((offset >= 8) && (offset < 12)) ? tmp : 0;
w0[3] |= ((offset >= 12) && (offset < 16)) ? tmp : 0;
w1[0] |= ((offset >= 16) && (offset < 20)) ? tmp : 0;
w1[1] |= ((offset >= 20) && (offset < 24)) ? tmp : 0;
w1[2] |= ((offset >= 24) && (offset < 28)) ? tmp : 0;
w1[3] |= ((offset >= 28) && (offset < 32)) ? tmp : 0;
w2[0] |= ((offset >= 32) && (offset < 36)) ? tmp : 0;
w2[1] |= ((offset >= 36) && (offset < 40)) ? tmp : 0;
w2[2] |= ((offset >= 40) && (offset < 44)) ? tmp : 0;
w2[3] |= (offset >= 44) ? tmp : 0;
}
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
inline void append_0x01_4x4 (u32x w0[4], u32x w1[4], u32x w2[4], u32x w3[4], const u32 offset)
{
const u32 tmp = 0x01 << ((offset & 3) * 8);
w0[0] |= (offset < 4) ? tmp : 0;
w0[1] |= ((offset >= 4) && (offset < 8)) ? tmp : 0;
w0[2] |= ((offset >= 8) && (offset < 12)) ? tmp : 0;
w0[3] |= ((offset >= 12) && (offset < 16)) ? tmp : 0;
w1[0] |= ((offset >= 16) && (offset < 20)) ? tmp : 0;
w1[1] |= ((offset >= 20) && (offset < 24)) ? tmp : 0;
w1[2] |= ((offset >= 24) && (offset < 28)) ? tmp : 0;
w1[3] |= ((offset >= 28) && (offset < 32)) ? tmp : 0;
w2[0] |= ((offset >= 32) && (offset < 36)) ? tmp : 0;
w2[1] |= ((offset >= 36) && (offset < 40)) ? tmp : 0;
w2[2] |= ((offset >= 40) && (offset < 44)) ? tmp : 0;
w2[3] |= ((offset >= 44) && (offset < 48)) ? tmp : 0;
w3[0] |= ((offset >= 48) && (offset < 52)) ? tmp : 0;
w3[1] |= ((offset >= 52) && (offset < 56)) ? tmp : 0;
w3[2] |= ((offset >= 56) && (offset < 60)) ? tmp : 0;
w3[3] |= (offset >= 60) ? tmp : 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
}
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
inline void append_0x01_8x4 (u32x w0[4], u32x w1[4], u32x w2[4], u32x w3[4], u32x w4[4], u32x w5[4], u32x w6[4], u32x w7[4], const u32 offset)
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
{
switch (offset)
{
case 0:
w0[0] = 0x01;
break;
case 1:
w0[0] = w0[0] | 0x0100;
break;
case 2:
w0[0] = w0[0] | 0x010000;
break;
case 3:
w0[0] = w0[0] | 0x01000000;
break;
case 4:
w0[1] = 0x01;
break;
case 5:
w0[1] = w0[1] | 0x0100;
break;
case 6:
w0[1] = w0[1] | 0x010000;
break;
case 7:
w0[1] = w0[1] | 0x01000000;
break;
case 8:
w0[2] = 0x01;
break;
case 9:
w0[2] = w0[2] | 0x0100;
break;
case 10:
w0[2] = w0[2] | 0x010000;
break;
case 11:
w0[2] = w0[2] | 0x01000000;
break;
case 12:
w0[3] = 0x01;
break;
case 13:
w0[3] = w0[3] | 0x0100;
break;
case 14:
w0[3] = w0[3] | 0x010000;
break;
case 15:
w0[3] = w0[3] | 0x01000000;
break;
case 16:
w1[0] = 0x01;
break;
case 17:
w1[0] = w1[0] | 0x0100;
break;
case 18:
w1[0] = w1[0] | 0x010000;
break;
case 19:
w1[0] = w1[0] | 0x01000000;
break;
case 20:
w1[1] = 0x01;
break;
case 21:
w1[1] = w1[1] | 0x0100;
break;
case 22:
w1[1] = w1[1] | 0x010000;
break;
case 23:
w1[1] = w1[1] | 0x01000000;
break;
case 24:
w1[2] = 0x01;
break;
case 25:
w1[2] = w1[2] | 0x0100;
break;
case 26:
w1[2] = w1[2] | 0x010000;
break;
case 27:
w1[2] = w1[2] | 0x01000000;
break;
case 28:
w1[3] = 0x01;
break;
case 29:
w1[3] = w1[3] | 0x0100;
break;
case 30:
w1[3] = w1[3] | 0x010000;
break;
case 31:
w1[3] = w1[3] | 0x01000000;
break;
case 32:
w2[0] = 0x01;
break;
case 33:
w2[0] = w2[0] | 0x0100;
break;
case 34:
w2[0] = w2[0] | 0x010000;
break;
case 35:
w2[0] = w2[0] | 0x01000000;
break;
case 36:
w2[1] = 0x01;
break;
case 37:
w2[1] = w2[1] | 0x0100;
break;
case 38:
w2[1] = w2[1] | 0x010000;
break;
case 39:
w2[1] = w2[1] | 0x01000000;
break;
case 40:
w2[2] = 0x01;
break;
case 41:
w2[2] = w2[2] | 0x0100;
break;
case 42:
w2[2] = w2[2] | 0x010000;
break;
case 43:
w2[2] = w2[2] | 0x01000000;
break;
case 44:
w2[3] = 0x01;
break;
case 45:
w2[3] = w2[3] | 0x0100;
break;
case 46:
w2[3] = w2[3] | 0x010000;
break;
case 47:
w2[3] = w2[3] | 0x01000000;
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 48:
w3[0] = 0x01;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 49:
w3[0] = w3[0] | 0x0100;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 50:
w3[0] = w3[0] | 0x010000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 51:
w3[0] = w3[0] | 0x01000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 52:
w3[1] = 0x01;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 53:
w3[1] = w3[1] | 0x0100;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 54:
w3[1] = w3[1] | 0x010000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 55:
w3[1] = w3[1] | 0x01000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 56:
w3[2] = 0x01;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 57:
w3[2] = w3[2] | 0x0100;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 58:
w3[2] = w3[2] | 0x010000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 59:
w3[2] = w3[2] | 0x01000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 60:
w3[3] = 0x01;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 61:
w3[3] = w3[3] | 0x0100;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 62:
w3[3] = w3[3] | 0x010000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 63:
w3[3] = w3[3] | 0x01000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 64:
w4[0] = 0x01;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 65:
w4[0] = w4[0] | 0x0100;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 66:
w4[0] = w4[0] | 0x010000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 67:
w4[0] = w4[0] | 0x01000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 68:
w4[1] = 0x01;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 69:
w4[1] = w4[1] | 0x0100;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 70:
w4[1] = w4[1] | 0x010000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 71:
w4[1] = w4[1] | 0x01000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 72:
w4[2] = 0x01;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 73:
w4[2] = w4[2] | 0x0100;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 74:
w4[2] = w4[2] | 0x010000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 75:
w4[2] = w4[2] | 0x01000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 76:
w4[3] = 0x01;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 77:
w4[3] = w4[3] | 0x0100;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 78:
w4[3] = w4[3] | 0x010000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 79:
w4[3] = w4[3] | 0x01000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 80:
w5[0] = 0x01;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 81:
w5[0] = w5[0] | 0x0100;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 82:
w5[0] = w5[0] | 0x010000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 83:
w5[0] = w5[0] | 0x01000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 84:
w5[1] = 0x01;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 85:
w5[1] = w5[1] | 0x0100;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 86:
w5[1] = w5[1] | 0x010000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 87:
w5[1] = w5[1] | 0x01000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 88:
w5[2] = 0x01;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 89:
w5[2] = w5[2] | 0x0100;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 90:
w5[2] = w5[2] | 0x010000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 91:
w5[2] = w5[2] | 0x01000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 92:
w5[3] = 0x01;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 93:
w5[3] = w5[3] | 0x0100;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 94:
w5[3] = w5[3] | 0x010000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 95:
w5[3] = w5[3] | 0x01000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 96:
w6[0] = 0x01;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 97:
w6[0] = w6[0] | 0x0100;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 98:
w6[0] = w6[0] | 0x010000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 99:
w6[0] = w6[0] | 0x01000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 100:
w6[1] = 0x01;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 101:
w6[1] = w6[1] | 0x0100;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 102:
w6[1] = w6[1] | 0x010000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 103:
w6[1] = w6[1] | 0x01000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 104:
w6[2] = 0x01;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 105:
w6[2] = w6[2] | 0x0100;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 106:
w6[2] = w6[2] | 0x010000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 107:
w6[2] = w6[2] | 0x01000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 108:
w6[3] = 0x01;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 109:
w6[3] = w6[3] | 0x0100;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 110:
w6[3] = w6[3] | 0x010000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 111:
w6[3] = w6[3] | 0x01000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 112:
w7[0] = 0x01;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 113:
w7[0] = w7[0] | 0x0100;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 114:
w7[0] = w7[0] | 0x010000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 115:
w7[0] = w7[0] | 0x01000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 116:
w7[1] = 0x01;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 117:
w7[1] = w7[1] | 0x0100;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 118:
w7[1] = w7[1] | 0x010000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 119:
w7[1] = w7[1] | 0x01000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 120:
w7[2] = 0x01;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 121:
w7[2] = w7[2] | 0x0100;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 122:
w7[2] = w7[2] | 0x010000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 123:
w7[2] = w7[2] | 0x01000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 124:
w7[3] = 0x01;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 125:
w7[3] = w7[3] | 0x0100;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 126:
w7[3] = w7[3] | 0x010000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 127:
w7[3] = w7[3] | 0x01000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
}
}
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
inline void append_0x02_1x4 (u32x w0[4], const u32 offset)
{
const u32 tmp = 0x02 << ((offset & 3) * 8);
w0[0] |= (offset < 4) ? tmp : 0;
w0[1] |= ((offset >= 4) && (offset < 8)) ? tmp : 0;
w0[2] |= ((offset >= 8) && (offset < 12)) ? tmp : 0;
w0[3] |= (offset >= 12) ? tmp : 0;
}
inline void append_0x02_2x4 (u32x w0[4], u32x w1[4], const u32 offset)
{
const u32 tmp = 0x02 << ((offset & 3) * 8);
w0[0] |= (offset < 4) ? tmp : 0;
w0[1] |= ((offset >= 4) && (offset < 8)) ? tmp : 0;
w0[2] |= ((offset >= 8) && (offset < 12)) ? tmp : 0;
w0[3] |= ((offset >= 12) && (offset < 16)) ? tmp : 0;
w1[0] |= ((offset >= 16) && (offset < 20)) ? tmp : 0;
w1[1] |= ((offset >= 20) && (offset < 24)) ? tmp : 0;
w1[2] |= ((offset >= 24) && (offset < 28)) ? tmp : 0;
w1[3] |= (offset >= 28) ? tmp : 0;
}
inline void append_0x02_3x4 (u32x w0[4], u32x w1[4], u32x w2[4], const u32 offset)
{
const u32 tmp = 0x02 << ((offset & 3) * 8);
w0[0] |= (offset < 4) ? tmp : 0;
w0[1] |= ((offset >= 4) && (offset < 8)) ? tmp : 0;
w0[2] |= ((offset >= 8) && (offset < 12)) ? tmp : 0;
w0[3] |= ((offset >= 12) && (offset < 16)) ? tmp : 0;
w1[0] |= ((offset >= 16) && (offset < 20)) ? tmp : 0;
w1[1] |= ((offset >= 20) && (offset < 24)) ? tmp : 0;
w1[2] |= ((offset >= 24) && (offset < 28)) ? tmp : 0;
w1[3] |= ((offset >= 28) && (offset < 32)) ? tmp : 0;
w2[0] |= ((offset >= 32) && (offset < 36)) ? tmp : 0;
w2[1] |= ((offset >= 36) && (offset < 40)) ? tmp : 0;
w2[2] |= ((offset >= 40) && (offset < 44)) ? tmp : 0;
w2[3] |= (offset >= 44) ? tmp : 0;
}
inline void append_0x02_4x4 (u32x w0[4], u32x w1[4], u32x w2[4], u32x w3[4], const u32 offset)
{
const u32 tmp = 0x02 << ((offset & 3) * 8);
w0[0] |= (offset < 4) ? tmp : 0;
w0[1] |= ((offset >= 4) && (offset < 8)) ? tmp : 0;
w0[2] |= ((offset >= 8) && (offset < 12)) ? tmp : 0;
w0[3] |= ((offset >= 12) && (offset < 16)) ? tmp : 0;
w1[0] |= ((offset >= 16) && (offset < 20)) ? tmp : 0;
w1[1] |= ((offset >= 20) && (offset < 24)) ? tmp : 0;
w1[2] |= ((offset >= 24) && (offset < 28)) ? tmp : 0;
w1[3] |= ((offset >= 28) && (offset < 32)) ? tmp : 0;
w2[0] |= ((offset >= 32) && (offset < 36)) ? tmp : 0;
w2[1] |= ((offset >= 36) && (offset < 40)) ? tmp : 0;
w2[2] |= ((offset >= 40) && (offset < 44)) ? tmp : 0;
w2[3] |= ((offset >= 44) && (offset < 48)) ? tmp : 0;
w3[0] |= ((offset >= 48) && (offset < 52)) ? tmp : 0;
w3[1] |= ((offset >= 52) && (offset < 56)) ? tmp : 0;
w3[2] |= ((offset >= 56) && (offset < 60)) ? tmp : 0;
w3[3] |= (offset >= 60) ? tmp : 0;
}
inline void append_0x02_8x4 (u32x w0[4], u32x w1[4], u32x w2[4], u32x w3[4], u32x w4[4], u32x w5[4], u32x w6[4], u32x w7[4], const u32 offset)
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
{
switch (offset)
{
case 0:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w0[0] = 0x02;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 1:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w0[0] = w0[0] | 0x0200;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 2:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w0[0] = w0[0] | 0x020000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 3:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w0[0] = w0[0] | 0x02000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 4:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w0[1] = 0x02;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 5:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w0[1] = w0[1] | 0x0200;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 6:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w0[1] = w0[1] | 0x020000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 7:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w0[1] = w0[1] | 0x02000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 8:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w0[2] = 0x02;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 9:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w0[2] = w0[2] | 0x0200;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 10:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w0[2] = w0[2] | 0x020000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 11:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w0[2] = w0[2] | 0x02000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 12:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w0[3] = 0x02;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 13:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w0[3] = w0[3] | 0x0200;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 14:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w0[3] = w0[3] | 0x020000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 15:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w0[3] = w0[3] | 0x02000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 16:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w1[0] = 0x02;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 17:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w1[0] = w1[0] | 0x0200;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 18:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w1[0] = w1[0] | 0x020000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 19:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w1[0] = w1[0] | 0x02000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 20:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w1[1] = 0x02;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 21:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w1[1] = w1[1] | 0x0200;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 22:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w1[1] = w1[1] | 0x020000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 23:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w1[1] = w1[1] | 0x02000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 24:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w1[2] = 0x02;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 25:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w1[2] = w1[2] | 0x0200;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 26:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w1[2] = w1[2] | 0x020000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 27:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w1[2] = w1[2] | 0x02000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 28:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w1[3] = 0x02;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 29:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w1[3] = w1[3] | 0x0200;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 30:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w1[3] = w1[3] | 0x020000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 31:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w1[3] = w1[3] | 0x02000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 32:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w2[0] = 0x02;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 33:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w2[0] = w2[0] | 0x0200;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 34:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w2[0] = w2[0] | 0x020000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 35:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w2[0] = w2[0] | 0x02000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 36:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w2[1] = 0x02;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 37:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w2[1] = w2[1] | 0x0200;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 38:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w2[1] = w2[1] | 0x020000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 39:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w2[1] = w2[1] | 0x02000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 40:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w2[2] = 0x02;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 41:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w2[2] = w2[2] | 0x0200;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 42:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w2[2] = w2[2] | 0x020000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 43:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w2[2] = w2[2] | 0x02000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 44:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w2[3] = 0x02;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 45:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w2[3] = w2[3] | 0x0200;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 46:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w2[3] = w2[3] | 0x020000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
case 47:
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w2[3] = w2[3] | 0x02000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 48:
w3[0] = 0x02;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 49:
w3[0] = w3[0] | 0x0200;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 50:
w3[0] = w3[0] | 0x020000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 51:
w3[0] = w3[0] | 0x02000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 52:
w3[1] = 0x02;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 53:
w3[1] = w3[1] | 0x0200;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 54:
w3[1] = w3[1] | 0x020000;
break;
case 55:
w3[1] = w3[1] | 0x02000000;
break;
case 56:
w3[2] = 0x02;
break;
case 57:
w3[2] = w3[2] | 0x0200;
break;
case 58:
w3[2] = w3[2] | 0x020000;
break;
case 59:
w3[2] = w3[2] | 0x02000000;
break;
case 60:
w3[3] = 0x02;
break;
case 61:
w3[3] = w3[3] | 0x0200;
break;
case 62:
w3[3] = w3[3] | 0x020000;
break;
case 63:
w3[3] = w3[3] | 0x02000000;
break;
case 64:
w4[0] = 0x02;
break;
case 65:
w4[0] = w4[0] | 0x0200;
break;
case 66:
w4[0] = w4[0] | 0x020000;
break;
case 67:
w4[0] = w4[0] | 0x02000000;
break;
case 68:
w4[1] = 0x02;
break;
case 69:
w4[1] = w4[1] | 0x0200;
break;
case 70:
w4[1] = w4[1] | 0x020000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 71:
w4[1] = w4[1] | 0x02000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 72:
w4[2] = 0x02;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 73:
w4[2] = w4[2] | 0x0200;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 74:
w4[2] = w4[2] | 0x020000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 75:
w4[2] = w4[2] | 0x02000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 76:
w4[3] = 0x02;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 77:
w4[3] = w4[3] | 0x0200;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 78:
w4[3] = w4[3] | 0x020000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 79:
w4[3] = w4[3] | 0x02000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 80:
w5[0] = 0x02;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 81:
w5[0] = w5[0] | 0x0200;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 82:
w5[0] = w5[0] | 0x020000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 83:
w5[0] = w5[0] | 0x02000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 84:
w5[1] = 0x02;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 85:
w5[1] = w5[1] | 0x0200;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 86:
w5[1] = w5[1] | 0x020000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 87:
w5[1] = w5[1] | 0x02000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 88:
w5[2] = 0x02;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 89:
w5[2] = w5[2] | 0x0200;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 90:
w5[2] = w5[2] | 0x020000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 91:
w5[2] = w5[2] | 0x02000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 92:
w5[3] = 0x02;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 93:
w5[3] = w5[3] | 0x0200;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 94:
w5[3] = w5[3] | 0x020000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 95:
w5[3] = w5[3] | 0x02000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 96:
w6[0] = 0x02;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 97:
w6[0] = w6[0] | 0x0200;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 98:
w6[0] = w6[0] | 0x020000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 99:
w6[0] = w6[0] | 0x02000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 100:
w6[1] = 0x02;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 101:
w6[1] = w6[1] | 0x0200;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 102:
w6[1] = w6[1] | 0x020000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 103:
w6[1] = w6[1] | 0x02000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 104:
w6[2] = 0x02;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 105:
w6[2] = w6[2] | 0x0200;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 106:
w6[2] = w6[2] | 0x020000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 107:
w6[2] = w6[2] | 0x02000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 108:
w6[3] = 0x02;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 109:
w6[3] = w6[3] | 0x0200;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 110:
w6[3] = w6[3] | 0x020000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 111:
w6[3] = w6[3] | 0x02000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 112:
w7[0] = 0x02;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 113:
w7[0] = w7[0] | 0x0200;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 114:
w7[0] = w7[0] | 0x020000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 115:
w7[0] = w7[0] | 0x02000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 116:
w7[1] = 0x02;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 117:
w7[1] = w7[1] | 0x0200;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 118:
w7[1] = w7[1] | 0x020000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 119:
w7[1] = w7[1] | 0x02000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 120:
w7[2] = 0x02;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 121:
w7[2] = w7[2] | 0x0200;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 122:
w7[2] = w7[2] | 0x020000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 123:
w7[2] = w7[2] | 0x02000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 124:
w7[3] = 0x02;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 125:
w7[3] = w7[3] | 0x0200;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 126:
w7[3] = w7[3] | 0x020000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
case 127:
w7[3] = w7[3] | 0x02000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
}
}
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
inline void append_0x80_1x4 (u32x w0[4], const u32 offset)
{
const u32 tmp = 0x80 << ((offset & 3) * 8);
w0[0] |= (offset < 4) ? tmp : 0;
w0[1] |= ((offset >= 4) && (offset < 8)) ? tmp : 0;
w0[2] |= ((offset >= 8) && (offset < 12)) ? tmp : 0;
w0[3] |= (offset >= 12) ? tmp : 0;
}
inline void append_0x80_2x4 (u32x w0[4], u32x w1[4], const u32 offset)
{
const u32 tmp = 0x80 << ((offset & 3) * 8);
w0[0] |= (offset < 4) ? tmp : 0;
w0[1] |= ((offset >= 4) && (offset < 8)) ? tmp : 0;
w0[2] |= ((offset >= 8) && (offset < 12)) ? tmp : 0;
w0[3] |= ((offset >= 12) && (offset < 16)) ? tmp : 0;
w1[0] |= ((offset >= 16) && (offset < 20)) ? tmp : 0;
w1[1] |= ((offset >= 20) && (offset < 24)) ? tmp : 0;
w1[2] |= ((offset >= 24) && (offset < 28)) ? tmp : 0;
w1[3] |= (offset >= 28) ? tmp : 0;
}
inline void append_0x80_3x4 (u32x w0[4], u32x w1[4], u32x w2[4], const u32 offset)
{
const u32 tmp = 0x80 << ((offset & 3) * 8);
w0[0] |= (offset < 4) ? tmp : 0;
w0[1] |= ((offset >= 4) && (offset < 8)) ? tmp : 0;
w0[2] |= ((offset >= 8) && (offset < 12)) ? tmp : 0;
w0[3] |= ((offset >= 12) && (offset < 16)) ? tmp : 0;
w1[0] |= ((offset >= 16) && (offset < 20)) ? tmp : 0;
w1[1] |= ((offset >= 20) && (offset < 24)) ? tmp : 0;
w1[2] |= ((offset >= 24) && (offset < 28)) ? tmp : 0;
w1[3] |= ((offset >= 28) && (offset < 32)) ? tmp : 0;
w2[0] |= ((offset >= 32) && (offset < 36)) ? tmp : 0;
w2[1] |= ((offset >= 36) && (offset < 40)) ? tmp : 0;
w2[2] |= ((offset >= 40) && (offset < 44)) ? tmp : 0;
w2[3] |= (offset >= 44) ? tmp : 0;
}
inline void append_0x80_4x4 (u32x w0[4], u32x w1[4], u32x w2[4], u32x w3[4], const u32 offset)
{
const u32 tmp = 0x80 << ((offset & 3) * 8);
w0[0] |= (offset < 4) ? tmp : 0;
w0[1] |= ((offset >= 4) && (offset < 8)) ? tmp : 0;
w0[2] |= ((offset >= 8) && (offset < 12)) ? tmp : 0;
w0[3] |= ((offset >= 12) && (offset < 16)) ? tmp : 0;
w1[0] |= ((offset >= 16) && (offset < 20)) ? tmp : 0;
w1[1] |= ((offset >= 20) && (offset < 24)) ? tmp : 0;
w1[2] |= ((offset >= 24) && (offset < 28)) ? tmp : 0;
w1[3] |= ((offset >= 28) && (offset < 32)) ? tmp : 0;
w2[0] |= ((offset >= 32) && (offset < 36)) ? tmp : 0;
w2[1] |= ((offset >= 36) && (offset < 40)) ? tmp : 0;
w2[2] |= ((offset >= 40) && (offset < 44)) ? tmp : 0;
w2[3] |= ((offset >= 44) && (offset < 48)) ? tmp : 0;
w3[0] |= ((offset >= 48) && (offset < 52)) ? tmp : 0;
w3[1] |= ((offset >= 52) && (offset < 56)) ? tmp : 0;
w3[2] |= ((offset >= 56) && (offset < 60)) ? tmp : 0;
w3[3] |= (offset >= 60) ? tmp : 0;
}
- Added inline declaration to functions from simd.c, common.c, rp.c and types_ocl.c to increase performance - Dropped static declaration from functions in all kernel to achieve OpenCL 1.1 compatibility - Added -cl-std=CL1.1 to all kernel build options - Created environment variable to inform NVidia OpenCL runtime to not create its own kernel cache - Created environment variable to inform pocl OpenCL runtime to not create its own kernel cache
2016-05-01 21:15:26 +00:00
inline void append_0x80_8x4 (u32x w0[4], u32x w1[4], u32x w2[4], u32x w3[4], u32x w4[4], u32x w5[4], u32x w6[4], u32x w7[4], const u32 offset)
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
{
switch (offset)
{
case 0:
w0[0] = 0x80;
break;
case 1:
w0[0] = w0[0] | 0x8000;
break;
case 2:
w0[0] = w0[0] | 0x800000;
break;
case 3:
w0[0] = w0[0] | 0x80000000;
break;
case 4:
w0[1] = 0x80;
break;
case 5:
w0[1] = w0[1] | 0x8000;
break;
case 6:
w0[1] = w0[1] | 0x800000;
break;
case 7:
w0[1] = w0[1] | 0x80000000;
break;
case 8:
w0[2] = 0x80;
break;
case 9:
w0[2] = w0[2] | 0x8000;
break;
case 10:
w0[2] = w0[2] | 0x800000;
break;
case 11:
w0[2] = w0[2] | 0x80000000;
break;
case 12:
w0[3] = 0x80;
break;
case 13:
w0[3] = w0[3] | 0x8000;
break;
case 14:
w0[3] = w0[3] | 0x800000;
break;
case 15:
w0[3] = w0[3] | 0x80000000;
break;
case 16:
w1[0] = 0x80;
break;
case 17:
w1[0] = w1[0] | 0x8000;
break;
case 18:
w1[0] = w1[0] | 0x800000;
break;
case 19:
w1[0] = w1[0] | 0x80000000;
break;
case 20:
w1[1] = 0x80;
break;
case 21:
w1[1] = w1[1] | 0x8000;
break;
case 22:
w1[1] = w1[1] | 0x800000;
break;
case 23:
w1[1] = w1[1] | 0x80000000;
break;
case 24:
w1[2] = 0x80;
break;
case 25:
w1[2] = w1[2] | 0x8000;
break;
case 26:
w1[2] = w1[2] | 0x800000;
break;
case 27:
w1[2] = w1[2] | 0x80000000;
break;
case 28:
w1[3] = 0x80;
break;
case 29:
w1[3] = w1[3] | 0x8000;
break;
case 30:
w1[3] = w1[3] | 0x800000;
break;
case 31:
w1[3] = w1[3] | 0x80000000;
break;
case 32:
w2[0] = 0x80;
break;
case 33:
w2[0] = w2[0] | 0x8000;
break;
case 34:
w2[0] = w2[0] | 0x800000;
break;
case 35:
w2[0] = w2[0] | 0x80000000;
break;
case 36:
w2[1] = 0x80;
break;
case 37:
w2[1] = w2[1] | 0x8000;
break;
case 38:
w2[1] = w2[1] | 0x800000;
break;
case 39:
w2[1] = w2[1] | 0x80000000;
break;
case 40:
w2[2] = 0x80;
break;
case 41:
w2[2] = w2[2] | 0x8000;
break;
case 42:
w2[2] = w2[2] | 0x800000;
break;
case 43:
w2[2] = w2[2] | 0x80000000;
break;
case 44:
w2[3] = 0x80;
break;
case 45:
w2[3] = w2[3] | 0x8000;
break;
case 46:
w2[3] = w2[3] | 0x800000;
break;
case 47:
w2[3] = w2[3] | 0x80000000;
break;
case 48:
w3[0] = 0x80;
break;
case 49:
w3[0] = w3[0] | 0x8000;
break;
case 50:
w3[0] = w3[0] | 0x800000;
break;
case 51:
w3[0] = w3[0] | 0x80000000;
break;
case 52:
w3[1] = 0x80;
break;
case 53:
w3[1] = w3[1] | 0x8000;
break;
case 54:
w3[1] = w3[1] | 0x800000;
break;
case 55:
w3[1] = w3[1] | 0x80000000;
break;
case 56:
w3[2] = 0x80;
break;
case 57:
w3[2] = w3[2] | 0x8000;
break;
case 58:
w3[2] = w3[2] | 0x800000;
break;
case 59:
w3[2] = w3[2] | 0x80000000;
break;
case 60:
w3[3] = 0x80;
break;
case 61:
w3[3] = w3[3] | 0x8000;
break;
case 62:
w3[3] = w3[3] | 0x800000;
break;
case 63:
w3[3] = w3[3] | 0x80000000;
break;
case 64:
w4[0] = 0x80;
break;
case 65:
w4[0] = w4[0] | 0x8000;
break;
case 66:
w4[0] = w4[0] | 0x800000;
break;
case 67:
w4[0] = w4[0] | 0x80000000;
break;
case 68:
w4[1] = 0x80;
break;
case 69:
w4[1] = w4[1] | 0x8000;
break;
case 70:
w4[1] = w4[1] | 0x800000;
break;
case 71:
w4[1] = w4[1] | 0x80000000;
break;
case 72:
w4[2] = 0x80;
break;
case 73:
w4[2] = w4[2] | 0x8000;
break;
case 74:
w4[2] = w4[2] | 0x800000;
break;
case 75:
w4[2] = w4[2] | 0x80000000;
break;
case 76:
w4[3] = 0x80;
break;
case 77:
w4[3] = w4[3] | 0x8000;
break;
case 78:
w4[3] = w4[3] | 0x800000;
break;
case 79:
w4[3] = w4[3] | 0x80000000;
break;
case 80:
w5[0] = 0x80;
break;
case 81:
w5[0] = w5[0] | 0x8000;
break;
case 82:
w5[0] = w5[0] | 0x800000;
break;
case 83:
w5[0] = w5[0] | 0x80000000;
break;
case 84:
w5[1] = 0x80;
break;
case 85:
w5[1] = w5[1] | 0x8000;
break;
case 86:
w5[1] = w5[1] | 0x800000;
break;
case 87:
w5[1] = w5[1] | 0x80000000;
break;
case 88:
w5[2] = 0x80;
break;
case 89:
w5[2] = w5[2] | 0x8000;
break;
case 90:
w5[2] = w5[2] | 0x800000;
break;
case 91:
w5[2] = w5[2] | 0x80000000;
break;
case 92:
w5[3] = 0x80;
break;
case 93:
w5[3] = w5[3] | 0x8000;
break;
case 94:
w5[3] = w5[3] | 0x800000;
break;
case 95:
w5[3] = w5[3] | 0x80000000;
break;
case 96:
w6[0] = 0x80;
break;
case 97:
w6[0] = w6[0] | 0x8000;
break;
case 98:
w6[0] = w6[0] | 0x800000;
break;
case 99:
w6[0] = w6[0] | 0x80000000;
break;
case 100:
w6[1] = 0x80;
break;
case 101:
w6[1] = w6[1] | 0x8000;
break;
case 102:
w6[1] = w6[1] | 0x800000;
break;
case 103:
w6[1] = w6[1] | 0x80000000;
break;
case 104:
w6[2] = 0x80;
break;
case 105:
w6[2] = w6[2] | 0x8000;
break;
case 106:
w6[2] = w6[2] | 0x800000;
break;
case 107:
w6[2] = w6[2] | 0x80000000;
break;
case 108:
w6[3] = 0x80;
break;
case 109:
w6[3] = w6[3] | 0x8000;
break;
case 110:
w6[3] = w6[3] | 0x800000;
break;
case 111:
w6[3] = w6[3] | 0x80000000;
break;
case 112:
w7[0] = 0x80;
break;
case 113:
w7[0] = w7[0] | 0x8000;
break;
case 114:
w7[0] = w7[0] | 0x800000;
break;
case 115:
w7[0] = w7[0] | 0x80000000;
break;
case 116:
w7[1] = 0x80;
break;
case 117:
w7[1] = w7[1] | 0x8000;
break;
case 118:
w7[1] = w7[1] | 0x800000;
break;
case 119:
w7[1] = w7[1] | 0x80000000;
break;
case 120:
w7[2] = 0x80;
break;
case 121:
w7[2] = w7[2] | 0x8000;
break;
case 122:
w7[2] = w7[2] | 0x800000;
break;
case 123:
w7[2] = w7[2] | 0x80000000;
break;
case 124:
w7[3] = 0x80;
break;
case 125:
w7[3] = w7[3] | 0x8000;
break;
case 126:
w7[3] = w7[3] | 0x800000;
break;
case 127:
w7[3] = w7[3] | 0x80000000;
break;
}
}
- Added inline declaration to functions from simd.c, common.c, rp.c and types_ocl.c to increase performance - Dropped static declaration from functions in all kernel to achieve OpenCL 1.1 compatibility - Added -cl-std=CL1.1 to all kernel build options - Created environment variable to inform NVidia OpenCL runtime to not create its own kernel cache - Created environment variable to inform pocl OpenCL runtime to not create its own kernel cache
2016-05-01 21:15:26 +00:00
inline void append_0x80_1x16 (u32x w[16], const u32 offset)
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
{
switch (offset)
{
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 0:
w[ 0] = 0x80;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
case 1:
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
w[ 0] = w[ 0] | 0x8000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
case 2:
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
w[ 0] = w[ 0] | 0x800000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
case 3:
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
w[ 0] = w[ 0] | 0x80000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
case 4:
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
w[ 1] = 0x80;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
case 5:
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
w[ 1] = w[ 1] | 0x8000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
case 6:
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
w[ 1] = w[ 1] | 0x800000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
case 7:
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
w[ 1] = w[ 1] | 0x80000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
case 8:
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
w[ 2] = 0x80;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
case 9:
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
w[ 2] = w[ 2] | 0x8000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
case 10:
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
w[ 2] = w[ 2] | 0x800000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
case 11:
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
w[ 2] = w[ 2] | 0x80000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
case 12:
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
w[ 3] = 0x80;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
case 13:
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
w[ 3] = w[ 3] | 0x8000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
case 14:
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
w[ 3] = w[ 3] | 0x800000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
case 15:
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
w[ 3] = w[ 3] | 0x80000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 16:
w[ 4] = 0x80;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 17:
w[ 4] = w[ 4] | 0x8000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 18:
w[ 4] = w[ 4] | 0x800000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 19:
w[ 4] = w[ 4] | 0x80000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 20:
w[ 5] = 0x80;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 21:
w[ 5] = w[ 5] | 0x8000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 22:
w[ 5] = w[ 5] | 0x800000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 23:
w[ 5] = w[ 5] | 0x80000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 24:
w[ 6] = 0x80;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 25:
w[ 6] = w[ 6] | 0x8000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 26:
w[ 6] = w[ 6] | 0x800000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 27:
w[ 6] = w[ 6] | 0x80000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 28:
w[ 7] = 0x80;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 29:
w[ 7] = w[ 7] | 0x8000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 30:
w[ 7] = w[ 7] | 0x800000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 31:
w[ 7] = w[ 7] | 0x80000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 32:
w[ 8] = 0x80;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 33:
w[ 8] = w[ 8] | 0x8000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 34:
w[ 8] = w[ 8] | 0x800000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 35:
w[ 8] = w[ 8] | 0x80000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 36:
w[ 9] = 0x80;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 37:
w[ 9] = w[ 9] | 0x8000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 38:
w[ 9] = w[ 9] | 0x800000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 39:
w[ 9] = w[ 9] | 0x80000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 40:
w[10] = 0x80;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 41:
w[10] = w[10] | 0x8000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 42:
w[10] = w[10] | 0x800000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 43:
w[10] = w[10] | 0x80000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 44:
w[11] = 0x80;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 45:
w[11] = w[11] | 0x8000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 46:
w[11] = w[11] | 0x800000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 47:
w[11] = w[11] | 0x80000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 48:
w[12] = 0x80;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 49:
w[12] = w[12] | 0x8000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 50:
w[12] = w[12] | 0x800000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 51:
w[12] = w[12] | 0x80000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 52:
w[13] = 0x80;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 53:
w[13] = w[13] | 0x8000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 54:
w[13] = w[13] | 0x800000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 55:
w[13] = w[13] | 0x80000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 56:
w[14] = 0x80;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 57:
w[14] = w[14] | 0x8000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 58:
w[14] = w[14] | 0x800000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 59:
w[14] = w[14] | 0x80000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 60:
w[15] = 0x80;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 61:
w[15] = w[15] | 0x8000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 62:
w[15] = w[15] | 0x800000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 63:
w[15] = w[15] | 0x80000000;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
}
}
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
- Added inline declaration to functions from simd.c, common.c, rp.c and types_ocl.c to increase performance - Dropped static declaration from functions in all kernel to achieve OpenCL 1.1 compatibility - Added -cl-std=CL1.1 to all kernel build options - Created environment variable to inform NVidia OpenCL runtime to not create its own kernel cache - Created environment variable to inform pocl OpenCL runtime to not create its own kernel cache
2016-05-01 21:15:26 +00:00
inline void switch_buffer_by_offset_le (u32x w0[4], u32x w1[4], u32x w2[4], u32x w3[4], const u32 offset)
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
{
#if defined IS_AMD || defined IS_GENERIC
const int offset_mod_4 = offset & 3;
const int offset_minus_4 = 4 - offset;
switch (offset / 4)
{
case 0:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign ( 0, w3[1], offset_minus_4);
w3[1] = amd_bytealign (w3[1], w3[0], offset_minus_4);
w3[0] = amd_bytealign (w3[0], w2[3], offset_minus_4);
w2[3] = amd_bytealign (w2[3], w2[2], offset_minus_4);
w2[2] = amd_bytealign (w2[2], w2[1], offset_minus_4);
w2[1] = amd_bytealign (w2[1], w2[0], offset_minus_4);
w2[0] = amd_bytealign (w2[0], w1[3], offset_minus_4);
w1[3] = amd_bytealign (w1[3], w1[2], offset_minus_4);
w1[2] = amd_bytealign (w1[2], w1[1], offset_minus_4);
w1[1] = amd_bytealign (w1[1], w1[0], offset_minus_4);
w1[0] = amd_bytealign (w1[0], w0[3], offset_minus_4);
w0[3] = amd_bytealign (w0[3], w0[2], offset_minus_4);
w0[2] = amd_bytealign (w0[2], w0[1], offset_minus_4);
w0[1] = amd_bytealign (w0[1], w0[0], offset_minus_4);
w0[0] = amd_bytealign (w0[0], 0, offset_minus_4);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
if (offset_mod_4 == 0)
{
w0[0] = w0[1];
w0[1] = w0[2];
w0[2] = w0[3];
w0[3] = w1[0];
w1[0] = w1[1];
w1[1] = w1[2];
w1[2] = w1[3];
w1[3] = w2[0];
w2[0] = w2[1];
w2[1] = w2[2];
w2[2] = w2[3];
w2[3] = w3[0];
w3[0] = w3[1];
w3[1] = w3[2];
w3[2] = 0;
}
break;
case 1:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign ( 0, w3[0], offset_minus_4);
w3[1] = amd_bytealign (w3[0], w2[3], offset_minus_4);
w3[0] = amd_bytealign (w2[3], w2[2], offset_minus_4);
w2[3] = amd_bytealign (w2[2], w2[1], offset_minus_4);
w2[2] = amd_bytealign (w2[1], w2[0], offset_minus_4);
w2[1] = amd_bytealign (w2[0], w1[3], offset_minus_4);
w2[0] = amd_bytealign (w1[3], w1[2], offset_minus_4);
w1[3] = amd_bytealign (w1[2], w1[1], offset_minus_4);
w1[2] = amd_bytealign (w1[1], w1[0], offset_minus_4);
w1[1] = amd_bytealign (w1[0], w0[3], offset_minus_4);
w1[0] = amd_bytealign (w0[3], w0[2], offset_minus_4);
w0[3] = amd_bytealign (w0[2], w0[1], offset_minus_4);
w0[2] = amd_bytealign (w0[1], w0[0], offset_minus_4);
w0[1] = amd_bytealign (w0[0], 0, offset_minus_4);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w0[0] = 0;
if (offset_mod_4 == 0)
{
w0[1] = w0[2];
w0[2] = w0[3];
w0[3] = w1[0];
w1[0] = w1[1];
w1[1] = w1[2];
w1[2] = w1[3];
w1[3] = w2[0];
w2[0] = w2[1];
w2[1] = w2[2];
w2[2] = w2[3];
w2[3] = w3[0];
w3[0] = w3[1];
w3[1] = w3[2];
w3[2] = 0;
}
break;
case 2:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign ( 0, w2[3], offset_minus_4);
w3[1] = amd_bytealign (w2[3], w2[2], offset_minus_4);
w3[0] = amd_bytealign (w2[2], w2[1], offset_minus_4);
w2[3] = amd_bytealign (w2[1], w2[0], offset_minus_4);
w2[2] = amd_bytealign (w2[0], w1[3], offset_minus_4);
w2[1] = amd_bytealign (w1[3], w1[2], offset_minus_4);
w2[0] = amd_bytealign (w1[2], w1[1], offset_minus_4);
w1[3] = amd_bytealign (w1[1], w1[0], offset_minus_4);
w1[2] = amd_bytealign (w1[0], w0[3], offset_minus_4);
w1[1] = amd_bytealign (w0[3], w0[2], offset_minus_4);
w1[0] = amd_bytealign (w0[2], w0[1], offset_minus_4);
w0[3] = amd_bytealign (w0[1], w0[0], offset_minus_4);
w0[2] = amd_bytealign (w0[0], 0, offset_minus_4);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w0[1] = 0;
w0[0] = 0;
if (offset_mod_4 == 0)
{
w0[2] = w0[3];
w0[3] = w1[0];
w1[0] = w1[1];
w1[1] = w1[2];
w1[2] = w1[3];
w1[3] = w2[0];
w2[0] = w2[1];
w2[1] = w2[2];
w2[2] = w2[3];
w2[3] = w3[0];
w3[0] = w3[1];
w3[1] = w3[2];
w3[2] = 0;
}
break;
case 3:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign ( 0, w2[2], offset_minus_4);
w3[1] = amd_bytealign (w2[2], w2[1], offset_minus_4);
w3[0] = amd_bytealign (w2[1], w2[0], offset_minus_4);
w2[3] = amd_bytealign (w2[0], w1[3], offset_minus_4);
w2[2] = amd_bytealign (w1[3], w1[2], offset_minus_4);
w2[1] = amd_bytealign (w1[2], w1[1], offset_minus_4);
w2[0] = amd_bytealign (w1[1], w1[0], offset_minus_4);
w1[3] = amd_bytealign (w1[0], w0[3], offset_minus_4);
w1[2] = amd_bytealign (w0[3], w0[2], offset_minus_4);
w1[1] = amd_bytealign (w0[2], w0[1], offset_minus_4);
w1[0] = amd_bytealign (w0[1], w0[0], offset_minus_4);
w0[3] = amd_bytealign (w0[0], 0, offset_minus_4);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
if (offset_mod_4 == 0)
{
w0[3] = w1[0];
w1[0] = w1[1];
w1[1] = w1[2];
w1[2] = w1[3];
w1[3] = w2[0];
w2[0] = w2[1];
w2[1] = w2[2];
w2[2] = w2[3];
w2[3] = w3[0];
w3[0] = w3[1];
w3[1] = w3[2];
w3[2] = 0;
}
break;
case 4:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign ( 0, w2[1], offset_minus_4);
w3[1] = amd_bytealign (w2[1], w2[0], offset_minus_4);
w3[0] = amd_bytealign (w2[0], w1[3], offset_minus_4);
w2[3] = amd_bytealign (w1[3], w1[2], offset_minus_4);
w2[2] = amd_bytealign (w1[2], w1[1], offset_minus_4);
w2[1] = amd_bytealign (w1[1], w1[0], offset_minus_4);
w2[0] = amd_bytealign (w1[0], w0[3], offset_minus_4);
w1[3] = amd_bytealign (w0[3], w0[2], offset_minus_4);
w1[2] = amd_bytealign (w0[2], w0[1], offset_minus_4);
w1[1] = amd_bytealign (w0[1], w0[0], offset_minus_4);
w1[0] = amd_bytealign (w0[0], 0, offset_minus_4);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
if (offset_mod_4 == 0)
{
w1[0] = w1[1];
w1[1] = w1[2];
w1[2] = w1[3];
w1[3] = w2[0];
w2[0] = w2[1];
w2[1] = w2[2];
w2[2] = w2[3];
w2[3] = w3[0];
w3[0] = w3[1];
w3[1] = w3[2];
w3[2] = 0;
}
break;
case 5:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign ( 0, w2[0], offset_minus_4);
w3[1] = amd_bytealign (w2[0], w1[3], offset_minus_4);
w3[0] = amd_bytealign (w1[3], w1[2], offset_minus_4);
w2[3] = amd_bytealign (w1[2], w1[1], offset_minus_4);
w2[2] = amd_bytealign (w1[1], w1[0], offset_minus_4);
w2[1] = amd_bytealign (w1[0], w0[3], offset_minus_4);
w2[0] = amd_bytealign (w0[3], w0[2], offset_minus_4);
w1[3] = amd_bytealign (w0[2], w0[1], offset_minus_4);
w1[2] = amd_bytealign (w0[1], w0[0], offset_minus_4);
w1[1] = amd_bytealign (w0[0], 0, offset_minus_4);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
if (offset_mod_4 == 0)
{
w1[1] = w1[2];
w1[2] = w1[3];
w1[3] = w2[0];
w2[0] = w2[1];
w2[1] = w2[2];
w2[2] = w2[3];
w2[3] = w3[0];
w3[0] = w3[1];
w3[1] = w3[2];
w3[2] = 0;
}
break;
case 6:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign ( 0, w1[3], offset_minus_4);
w3[1] = amd_bytealign (w1[3], w1[2], offset_minus_4);
w3[0] = amd_bytealign (w1[2], w1[1], offset_minus_4);
w2[3] = amd_bytealign (w1[1], w1[0], offset_minus_4);
w2[2] = amd_bytealign (w1[0], w0[3], offset_minus_4);
w2[1] = amd_bytealign (w0[3], w0[2], offset_minus_4);
w2[0] = amd_bytealign (w0[2], w0[1], offset_minus_4);
w1[3] = amd_bytealign (w0[1], w0[0], offset_minus_4);
w1[2] = amd_bytealign (w0[0], 0, offset_minus_4);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
if (offset_mod_4 == 0)
{
w1[2] = w1[3];
w1[3] = w2[0];
w2[0] = w2[1];
w2[1] = w2[2];
w2[2] = w2[3];
w2[3] = w3[0];
w3[0] = w3[1];
w3[1] = w3[2];
w3[2] = 0;
}
break;
case 7:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign ( 0, w1[2], offset_minus_4);
w3[1] = amd_bytealign (w1[2], w1[1], offset_minus_4);
w3[0] = amd_bytealign (w1[1], w1[0], offset_minus_4);
w2[3] = amd_bytealign (w1[0], w0[3], offset_minus_4);
w2[2] = amd_bytealign (w0[3], w0[2], offset_minus_4);
w2[1] = amd_bytealign (w0[2], w0[1], offset_minus_4);
w2[0] = amd_bytealign (w0[1], w0[0], offset_minus_4);
w1[3] = amd_bytealign (w0[0], 0, offset_minus_4);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
if (offset_mod_4 == 0)
{
w1[3] = w2[0];
w2[0] = w2[1];
w2[1] = w2[2];
w2[2] = w2[3];
w2[3] = w3[0];
w3[0] = w3[1];
w3[1] = w3[2];
w3[2] = 0;
}
break;
case 8:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign ( 0, w1[1], offset_minus_4);
w3[1] = amd_bytealign (w1[1], w1[0], offset_minus_4);
w3[0] = amd_bytealign (w1[0], w0[3], offset_minus_4);
w2[3] = amd_bytealign (w0[3], w0[2], offset_minus_4);
w2[2] = amd_bytealign (w0[2], w0[1], offset_minus_4);
w2[1] = amd_bytealign (w0[1], w0[0], offset_minus_4);
w2[0] = amd_bytealign (w0[0], 0, offset_minus_4);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
if (offset_mod_4 == 0)
{
w2[0] = w2[1];
w2[1] = w2[2];
w2[2] = w2[3];
w2[3] = w3[0];
w3[0] = w3[1];
w3[1] = w3[2];
w3[2] = 0;
}
break;
case 9:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign ( 0, w1[0], offset_minus_4);
w3[1] = amd_bytealign (w1[0], w0[3], offset_minus_4);
w3[0] = amd_bytealign (w0[3], w0[2], offset_minus_4);
w2[3] = amd_bytealign (w0[2], w0[1], offset_minus_4);
w2[2] = amd_bytealign (w0[1], w0[0], offset_minus_4);
w2[1] = amd_bytealign (w0[0], 0, offset_minus_4);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
if (offset_mod_4 == 0)
{
w2[1] = w2[2];
w2[2] = w2[3];
w2[3] = w3[0];
w3[0] = w3[1];
w3[1] = w3[2];
w3[2] = 0;
}
break;
case 10:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign ( 0, w0[3], offset_minus_4);
w3[1] = amd_bytealign (w0[3], w0[2], offset_minus_4);
w3[0] = amd_bytealign (w0[2], w0[1], offset_minus_4);
w2[3] = amd_bytealign (w0[1], w0[0], offset_minus_4);
w2[2] = amd_bytealign (w0[0], 0, offset_minus_4);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w2[1] = 0;
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
if (offset_mod_4 == 0)
{
w2[2] = w2[3];
w2[3] = w3[0];
w3[0] = w3[1];
w3[1] = w3[2];
w3[2] = 0;
}
break;
case 11:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign ( 0, w0[2], offset_minus_4);
w3[1] = amd_bytealign (w0[2], w0[1], offset_minus_4);
w3[0] = amd_bytealign (w0[1], w0[0], offset_minus_4);
w2[3] = amd_bytealign (w0[0], 0, offset_minus_4);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w2[2] = 0;
w2[1] = 0;
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
if (offset_mod_4 == 0)
{
w2[3] = w3[0];
w3[0] = w3[1];
w3[1] = w3[2];
w3[2] = 0;
}
break;
case 12:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign ( 0, w0[1], offset_minus_4);
w3[1] = amd_bytealign (w0[1], w0[0], offset_minus_4);
w3[0] = amd_bytealign (w0[0], 0, offset_minus_4);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w2[3] = 0;
w2[2] = 0;
w2[1] = 0;
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
if (offset_mod_4 == 0)
{
w3[0] = w3[1];
w3[1] = w3[2];
w3[2] = 0;
}
break;
case 13:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign ( 0, w0[0], offset_minus_4);
w3[1] = amd_bytealign (w0[0], 0, offset_minus_4);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w3[0] = 0;
w2[3] = 0;
w2[2] = 0;
w2[1] = 0;
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
if (offset_mod_4 == 0)
{
w3[1] = w3[2];
w3[2] = 0;
}
break;
}
#endif
#ifdef IS_NV
const int offset_minus_4 = 4 - (offset % 4);
const int selector = (0x76543210 >> (offset_minus_4 * 4)) & 0xffff;
switch (offset / 4)
{
case 0:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm (w3[0], w3[1], selector);
w3[0] = __byte_perm (w2[3], w3[0], selector);
w2[3] = __byte_perm (w2[2], w2[3], selector);
w2[2] = __byte_perm (w2[1], w2[2], selector);
w2[1] = __byte_perm (w2[0], w2[1], selector);
w2[0] = __byte_perm (w1[3], w2[0], selector);
w1[3] = __byte_perm (w1[2], w1[3], selector);
w1[2] = __byte_perm (w1[1], w1[2], selector);
w1[1] = __byte_perm (w1[0], w1[1], selector);
w1[0] = __byte_perm (w0[3], w1[0], selector);
w0[3] = __byte_perm (w0[2], w0[3], selector);
w0[2] = __byte_perm (w0[1], w0[2], selector);
w0[1] = __byte_perm (w0[0], w0[1], selector);
w0[0] = __byte_perm ( 0, w0[0], selector);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
break;
case 1:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm (w2[3], w3[0], selector);
w3[0] = __byte_perm (w2[2], w2[3], selector);
w2[3] = __byte_perm (w2[1], w2[2], selector);
w2[2] = __byte_perm (w2[0], w2[1], selector);
w2[1] = __byte_perm (w1[3], w2[0], selector);
w2[0] = __byte_perm (w1[2], w1[3], selector);
w1[3] = __byte_perm (w1[1], w1[2], selector);
w1[2] = __byte_perm (w1[0], w1[1], selector);
w1[1] = __byte_perm (w0[3], w1[0], selector);
w1[0] = __byte_perm (w0[2], w0[3], selector);
w0[3] = __byte_perm (w0[1], w0[2], selector);
w0[2] = __byte_perm (w0[0], w0[1], selector);
w0[1] = __byte_perm ( 0, w0[0], selector);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w0[0] = 0;
break;
case 2:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm (w2[2], w2[3], selector);
w3[0] = __byte_perm (w2[1], w2[2], selector);
w2[3] = __byte_perm (w2[0], w2[1], selector);
w2[2] = __byte_perm (w1[3], w2[0], selector);
w2[1] = __byte_perm (w1[2], w1[3], selector);
w2[0] = __byte_perm (w1[1], w1[2], selector);
w1[3] = __byte_perm (w1[0], w1[1], selector);
w1[2] = __byte_perm (w0[3], w1[0], selector);
w1[1] = __byte_perm (w0[2], w0[3], selector);
w1[0] = __byte_perm (w0[1], w0[2], selector);
w0[3] = __byte_perm (w0[0], w0[1], selector);
w0[2] = __byte_perm ( 0, w0[0], selector);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w0[1] = 0;
w0[0] = 0;
break;
case 3:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm (w2[1], w2[2], selector);
w3[0] = __byte_perm (w2[0], w2[1], selector);
w2[3] = __byte_perm (w1[3], w2[0], selector);
w2[2] = __byte_perm (w1[2], w1[3], selector);
w2[1] = __byte_perm (w1[1], w1[2], selector);
w2[0] = __byte_perm (w1[0], w1[1], selector);
w1[3] = __byte_perm (w0[3], w1[0], selector);
w1[2] = __byte_perm (w0[2], w0[3], selector);
w1[1] = __byte_perm (w0[1], w0[2], selector);
w1[0] = __byte_perm (w0[0], w0[1], selector);
w0[3] = __byte_perm ( 0, w0[0], selector);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
case 4:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm (w2[0], w2[1], selector);
w3[0] = __byte_perm (w1[3], w2[0], selector);
w2[3] = __byte_perm (w1[2], w1[3], selector);
w2[2] = __byte_perm (w1[1], w1[2], selector);
w2[1] = __byte_perm (w1[0], w1[1], selector);
w2[0] = __byte_perm (w0[3], w1[0], selector);
w1[3] = __byte_perm (w0[2], w0[3], selector);
w1[2] = __byte_perm (w0[1], w0[2], selector);
w1[1] = __byte_perm (w0[0], w0[1], selector);
w1[0] = __byte_perm ( 0, w0[0], selector);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
case 5:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm (w1[3], w2[0], selector);
w3[0] = __byte_perm (w1[2], w1[3], selector);
w2[3] = __byte_perm (w1[1], w1[2], selector);
w2[2] = __byte_perm (w1[0], w1[1], selector);
w2[1] = __byte_perm (w0[3], w1[0], selector);
w2[0] = __byte_perm (w0[2], w0[3], selector);
w1[3] = __byte_perm (w0[1], w0[2], selector);
w1[2] = __byte_perm (w0[0], w0[1], selector);
w1[1] = __byte_perm ( 0, w0[0], selector);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
case 6:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm (w1[2], w1[3], selector);
w3[0] = __byte_perm (w1[1], w1[2], selector);
w2[3] = __byte_perm (w1[0], w1[1], selector);
w2[2] = __byte_perm (w0[3], w1[0], selector);
w2[1] = __byte_perm (w0[2], w0[3], selector);
w2[0] = __byte_perm (w0[1], w0[2], selector);
w1[3] = __byte_perm (w0[0], w0[1], selector);
w1[2] = __byte_perm ( 0, w0[0], selector);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
case 7:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm (w1[1], w1[2], selector);
w3[0] = __byte_perm (w1[0], w1[1], selector);
w2[3] = __byte_perm (w0[3], w1[0], selector);
w2[2] = __byte_perm (w0[2], w0[3], selector);
w2[1] = __byte_perm (w0[1], w0[2], selector);
w2[0] = __byte_perm (w0[0], w0[1], selector);
w1[3] = __byte_perm ( 0, w0[0], selector);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
case 8:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm (w1[0], w1[1], selector);
w3[0] = __byte_perm (w0[3], w1[0], selector);
w2[3] = __byte_perm (w0[2], w0[3], selector);
w2[2] = __byte_perm (w0[1], w0[2], selector);
w2[1] = __byte_perm (w0[0], w0[1], selector);
w2[0] = __byte_perm ( 0, w0[0], selector);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
case 9:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm (w0[3], w1[0], selector);
w3[0] = __byte_perm (w0[2], w0[3], selector);
w2[3] = __byte_perm (w0[1], w0[2], selector);
w2[2] = __byte_perm (w0[0], w0[1], selector);
w2[1] = __byte_perm ( 0, w0[0], selector);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
case 10:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm (w0[2], w0[3], selector);
w3[0] = __byte_perm (w0[1], w0[2], selector);
w2[3] = __byte_perm (w0[0], w0[1], selector);
w2[2] = __byte_perm ( 0, w0[0], selector);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w2[1] = 0;
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
case 11:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm (w0[1], w0[2], selector);
w3[0] = __byte_perm (w0[0], w0[1], selector);
w2[3] = __byte_perm ( 0, w0[0], selector);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w2[2] = 0;
w2[1] = 0;
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
case 12:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm (w0[0], w0[1], selector);
w3[0] = __byte_perm ( 0, w0[0], selector);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w2[3] = 0;
w2[2] = 0;
w2[1] = 0;
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
case 13:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm ( 0, w0[0], selector);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w3[0] = 0;
w2[3] = 0;
w2[2] = 0;
w2[1] = 0;
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
}
#endif
}
- Added inline declaration to functions from simd.c, common.c, rp.c and types_ocl.c to increase performance - Dropped static declaration from functions in all kernel to achieve OpenCL 1.1 compatibility - Added -cl-std=CL1.1 to all kernel build options - Created environment variable to inform NVidia OpenCL runtime to not create its own kernel cache - Created environment variable to inform pocl OpenCL runtime to not create its own kernel cache
2016-05-01 21:15:26 +00:00
inline void switch_buffer_by_offset_be (u32x w0[4], u32x w1[4], u32x w2[4], u32x w3[4], const u32 offset)
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
{
#if defined IS_AMD || defined IS_GENERIC
switch (offset / 4)
{
case 0:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign (w3[1], 0, offset);
w3[1] = amd_bytealign (w3[0], w3[1], offset);
w3[0] = amd_bytealign (w2[3], w3[0], offset);
w2[3] = amd_bytealign (w2[2], w2[3], offset);
w2[2] = amd_bytealign (w2[1], w2[2], offset);
w2[1] = amd_bytealign (w2[0], w2[1], offset);
w2[0] = amd_bytealign (w1[3], w2[0], offset);
w1[3] = amd_bytealign (w1[2], w1[3], offset);
w1[2] = amd_bytealign (w1[1], w1[2], offset);
w1[1] = amd_bytealign (w1[0], w1[1], offset);
w1[0] = amd_bytealign (w0[3], w1[0], offset);
w0[3] = amd_bytealign (w0[2], w0[3], offset);
w0[2] = amd_bytealign (w0[1], w0[2], offset);
w0[1] = amd_bytealign (w0[0], w0[1], offset);
w0[0] = amd_bytealign ( 0, w0[0], offset);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
break;
case 1:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign (w3[0], 0, offset);
w3[1] = amd_bytealign (w2[3], w3[0], offset);
w3[0] = amd_bytealign (w2[2], w2[3], offset);
w2[3] = amd_bytealign (w2[1], w2[2], offset);
w2[2] = amd_bytealign (w2[0], w2[1], offset);
w2[1] = amd_bytealign (w1[3], w2[0], offset);
w2[0] = amd_bytealign (w1[2], w1[3], offset);
w1[3] = amd_bytealign (w1[1], w1[2], offset);
w1[2] = amd_bytealign (w1[0], w1[1], offset);
w1[1] = amd_bytealign (w0[3], w1[0], offset);
w1[0] = amd_bytealign (w0[2], w0[3], offset);
w0[3] = amd_bytealign (w0[1], w0[2], offset);
w0[2] = amd_bytealign (w0[0], w0[1], offset);
w0[1] = amd_bytealign ( 0, w0[0], offset);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w0[0] = 0;
break;
case 2:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign (w2[3], 0, offset);
w3[1] = amd_bytealign (w2[2], w2[3], offset);
w3[0] = amd_bytealign (w2[1], w2[2], offset);
w2[3] = amd_bytealign (w2[0], w2[1], offset);
w2[2] = amd_bytealign (w1[3], w2[0], offset);
w2[1] = amd_bytealign (w1[2], w1[3], offset);
w2[0] = amd_bytealign (w1[1], w1[2], offset);
w1[3] = amd_bytealign (w1[0], w1[1], offset);
w1[2] = amd_bytealign (w0[3], w1[0], offset);
w1[1] = amd_bytealign (w0[2], w0[3], offset);
w1[0] = amd_bytealign (w0[1], w0[2], offset);
w0[3] = amd_bytealign (w0[0], w0[1], offset);
w0[2] = amd_bytealign ( 0, w0[0], offset);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w0[1] = 0;
w0[0] = 0;
break;
case 3:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign (w2[2], 0, offset);
w3[1] = amd_bytealign (w2[1], w2[2], offset);
w3[0] = amd_bytealign (w2[0], w2[1], offset);
w2[3] = amd_bytealign (w1[3], w2[0], offset);
w2[2] = amd_bytealign (w1[2], w1[3], offset);
w2[1] = amd_bytealign (w1[1], w1[2], offset);
w2[0] = amd_bytealign (w1[0], w1[1], offset);
w1[3] = amd_bytealign (w0[3], w1[0], offset);
w1[2] = amd_bytealign (w0[2], w0[3], offset);
w1[1] = amd_bytealign (w0[1], w0[2], offset);
w1[0] = amd_bytealign (w0[0], w0[1], offset);
w0[3] = amd_bytealign ( 0, w0[0], offset);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
case 4:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign (w2[1], 0, offset);
w3[1] = amd_bytealign (w2[0], w2[1], offset);
w3[0] = amd_bytealign (w1[3], w2[0], offset);
w2[3] = amd_bytealign (w1[2], w1[3], offset);
w2[2] = amd_bytealign (w1[1], w1[2], offset);
w2[1] = amd_bytealign (w1[0], w1[1], offset);
w2[0] = amd_bytealign (w0[3], w1[0], offset);
w1[3] = amd_bytealign (w0[2], w0[3], offset);
w1[2] = amd_bytealign (w0[1], w0[2], offset);
w1[1] = amd_bytealign (w0[0], w0[1], offset);
w1[0] = amd_bytealign ( 0, w0[0], offset);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
case 5:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign (w2[0], 0, offset);
w3[1] = amd_bytealign (w1[3], w2[0], offset);
w3[0] = amd_bytealign (w1[2], w1[3], offset);
w2[3] = amd_bytealign (w1[1], w1[2], offset);
w2[2] = amd_bytealign (w1[0], w1[1], offset);
w2[1] = amd_bytealign (w0[3], w1[0], offset);
w2[0] = amd_bytealign (w0[2], w0[3], offset);
w1[3] = amd_bytealign (w0[1], w0[2], offset);
w1[2] = amd_bytealign (w0[0], w0[1], offset);
w1[1] = amd_bytealign ( 0, w0[0], offset);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
case 6:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign (w1[3], 0, offset);
w3[1] = amd_bytealign (w1[2], w1[3], offset);
w3[0] = amd_bytealign (w1[1], w1[2], offset);
w2[3] = amd_bytealign (w1[0], w1[1], offset);
w2[2] = amd_bytealign (w0[3], w1[0], offset);
w2[1] = amd_bytealign (w0[2], w0[3], offset);
w2[0] = amd_bytealign (w0[1], w0[2], offset);
w1[3] = amd_bytealign (w0[0], w0[1], offset);
w1[2] = amd_bytealign ( 0, w0[0], offset);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
case 7:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign (w1[2], 0, offset);
w3[1] = amd_bytealign (w1[1], w1[2], offset);
w3[0] = amd_bytealign (w1[0], w1[1], offset);
w2[3] = amd_bytealign (w0[3], w1[0], offset);
w2[2] = amd_bytealign (w0[2], w0[3], offset);
w2[1] = amd_bytealign (w0[1], w0[2], offset);
w2[0] = amd_bytealign (w0[0], w0[1], offset);
w1[3] = amd_bytealign ( 0, w0[0], offset);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
case 8:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign (w1[1], 0, offset);
w3[1] = amd_bytealign (w1[0], w1[1], offset);
w3[0] = amd_bytealign (w0[3], w1[0], offset);
w2[3] = amd_bytealign (w0[2], w0[3], offset);
w2[2] = amd_bytealign (w0[1], w0[2], offset);
w2[1] = amd_bytealign (w0[0], w0[1], offset);
w2[0] = amd_bytealign ( 0, w0[0], offset);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
case 9:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign (w1[0], 0, offset);
w3[1] = amd_bytealign (w0[3], w1[0], offset);
w3[0] = amd_bytealign (w0[2], w0[3], offset);
w2[3] = amd_bytealign (w0[1], w0[2], offset);
w2[2] = amd_bytealign (w0[0], w0[1], offset);
w2[1] = amd_bytealign ( 0, w0[0], offset);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
case 10:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign (w0[3], 0, offset);
w3[1] = amd_bytealign (w0[2], w0[3], offset);
w3[0] = amd_bytealign (w0[1], w0[2], offset);
w2[3] = amd_bytealign (w0[0], w0[1], offset);
w2[2] = amd_bytealign ( 0, w0[0], offset);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w2[1] = 0;
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
case 11:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign (w0[2], 0, offset);
w3[1] = amd_bytealign (w0[1], w0[2], offset);
w3[0] = amd_bytealign (w0[0], w0[1], offset);
w2[3] = amd_bytealign ( 0, w0[0], offset);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w2[2] = 0;
w2[1] = 0;
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
case 12:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign (w0[1], 0, offset);
w3[1] = amd_bytealign (w0[0], w0[1], offset);
w3[0] = amd_bytealign ( 0, w0[0], offset);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w2[3] = 0;
w2[2] = 0;
w2[1] = 0;
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
case 13:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign (w0[0], 0, offset);
w3[1] = amd_bytealign ( 0, w0[0], offset);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w3[0] = 0;
w2[3] = 0;
w2[2] = 0;
w2[1] = 0;
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
}
#endif
#ifdef IS_NV
const int selector = (0x76543210 >> ((offset & 3) * 4)) & 0xffff;
switch (offset / 4)
{
case 0:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm (w3[1], w3[0], selector);
w3[0] = __byte_perm (w3[0], w2[3], selector);
w2[3] = __byte_perm (w2[3], w2[2], selector);
w2[2] = __byte_perm (w2[2], w2[1], selector);
w2[1] = __byte_perm (w2[1], w2[0], selector);
w2[0] = __byte_perm (w2[0], w1[3], selector);
w1[3] = __byte_perm (w1[3], w1[2], selector);
w1[2] = __byte_perm (w1[2], w1[1], selector);
w1[1] = __byte_perm (w1[1], w1[0], selector);
w1[0] = __byte_perm (w1[0], w0[3], selector);
w0[3] = __byte_perm (w0[3], w0[2], selector);
w0[2] = __byte_perm (w0[2], w0[1], selector);
w0[1] = __byte_perm (w0[1], w0[0], selector);
w0[0] = __byte_perm (w0[0], 0, selector);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
break;
case 1:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm (w3[0], w2[3], selector);
w3[0] = __byte_perm (w2[3], w2[2], selector);
w2[3] = __byte_perm (w2[2], w2[1], selector);
w2[2] = __byte_perm (w2[1], w2[0], selector);
w2[1] = __byte_perm (w2[0], w1[3], selector);
w2[0] = __byte_perm (w1[3], w1[2], selector);
w1[3] = __byte_perm (w1[2], w1[1], selector);
w1[2] = __byte_perm (w1[1], w1[0], selector);
w1[1] = __byte_perm (w1[0], w0[3], selector);
w1[0] = __byte_perm (w0[3], w0[2], selector);
w0[3] = __byte_perm (w0[2], w0[1], selector);
w0[2] = __byte_perm (w0[1], w0[0], selector);
w0[1] = __byte_perm (w0[0], 0, selector);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w0[0] = 0;
break;
case 2:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm (w2[3], w2[2], selector);
w3[0] = __byte_perm (w2[2], w2[1], selector);
w2[3] = __byte_perm (w2[1], w2[0], selector);
w2[2] = __byte_perm (w2[0], w1[3], selector);
w2[1] = __byte_perm (w1[3], w1[2], selector);
w2[0] = __byte_perm (w1[2], w1[1], selector);
w1[3] = __byte_perm (w1[1], w1[0], selector);
w1[2] = __byte_perm (w1[0], w0[3], selector);
w1[1] = __byte_perm (w0[3], w0[2], selector);
w1[0] = __byte_perm (w0[2], w0[1], selector);
w0[3] = __byte_perm (w0[1], w0[0], selector);
w0[2] = __byte_perm (w0[0], 0, selector);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w0[1] = 0;
w0[0] = 0;
break;
case 3:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm (w2[2], w2[1], selector);
w3[0] = __byte_perm (w2[1], w2[0], selector);
w2[3] = __byte_perm (w2[0], w1[3], selector);
w2[2] = __byte_perm (w1[3], w1[2], selector);
w2[1] = __byte_perm (w1[2], w1[1], selector);
w2[0] = __byte_perm (w1[1], w1[0], selector);
w1[3] = __byte_perm (w1[0], w0[3], selector);
w1[2] = __byte_perm (w0[3], w0[2], selector);
w1[1] = __byte_perm (w0[2], w0[1], selector);
w1[0] = __byte_perm (w0[1], w0[0], selector);
w0[3] = __byte_perm (w0[0], 0, selector);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
case 4:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm (w2[1], w2[0], selector);
w3[0] = __byte_perm (w2[0], w1[3], selector);
w2[3] = __byte_perm (w1[3], w1[2], selector);
w2[2] = __byte_perm (w1[2], w1[1], selector);
w2[1] = __byte_perm (w1[1], w1[0], selector);
w2[0] = __byte_perm (w1[0], w0[3], selector);
w1[3] = __byte_perm (w0[3], w0[2], selector);
w1[2] = __byte_perm (w0[2], w0[1], selector);
w1[1] = __byte_perm (w0[1], w0[0], selector);
w1[0] = __byte_perm (w0[0], 0, selector);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
case 5:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm (w2[0], w1[3], selector);
w3[0] = __byte_perm (w1[3], w1[2], selector);
w2[3] = __byte_perm (w1[2], w1[1], selector);
w2[2] = __byte_perm (w1[1], w1[0], selector);
w2[1] = __byte_perm (w1[0], w0[3], selector);
w2[0] = __byte_perm (w0[3], w0[2], selector);
w1[3] = __byte_perm (w0[2], w0[1], selector);
w1[2] = __byte_perm (w0[1], w0[0], selector);
w1[1] = __byte_perm (w0[0], 0, selector);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
case 6:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm (w1[3], w1[2], selector);
w3[0] = __byte_perm (w1[2], w1[1], selector);
w2[3] = __byte_perm (w1[1], w1[0], selector);
w2[2] = __byte_perm (w1[0], w0[3], selector);
w2[1] = __byte_perm (w0[3], w0[2], selector);
w2[0] = __byte_perm (w0[2], w0[1], selector);
w1[3] = __byte_perm (w0[1], w0[0], selector);
w1[2] = __byte_perm (w0[0], 0, selector);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
case 7:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm (w1[2], w1[1], selector);
w3[0] = __byte_perm (w1[1], w1[0], selector);
w2[3] = __byte_perm (w1[0], w0[3], selector);
w2[2] = __byte_perm (w0[3], w0[2], selector);
w2[1] = __byte_perm (w0[2], w0[1], selector);
w2[0] = __byte_perm (w0[1], w0[0], selector);
w1[3] = __byte_perm (w0[0], 0, selector);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
case 8:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm (w1[1], w1[0], selector);
w3[0] = __byte_perm (w1[0], w0[3], selector);
w2[3] = __byte_perm (w0[3], w0[2], selector);
w2[2] = __byte_perm (w0[2], w0[1], selector);
w2[1] = __byte_perm (w0[1], w0[0], selector);
w2[0] = __byte_perm (w0[0], 0, selector);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
case 9:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm (w1[0], w0[3], selector);
w3[0] = __byte_perm (w0[3], w0[2], selector);
w2[3] = __byte_perm (w0[2], w0[1], selector);
w2[2] = __byte_perm (w0[1], w0[0], selector);
w2[1] = __byte_perm (w0[0], 0, selector);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
case 10:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm (w0[3], w0[2], selector);
w3[0] = __byte_perm (w0[2], w0[1], selector);
w2[3] = __byte_perm (w0[1], w0[0], selector);
w2[2] = __byte_perm (w0[0], 0, selector);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w2[1] = 0;
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
case 11:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm (w0[2], w0[1], selector);
w3[0] = __byte_perm (w0[1], w0[0], selector);
w2[3] = __byte_perm (w0[0], 0, selector);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w2[2] = 0;
w2[1] = 0;
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
case 12:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm (w0[1], w0[0], selector);
w3[0] = __byte_perm (w0[0], 0, selector);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w2[3] = 0;
w2[2] = 0;
w2[1] = 0;
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
case 13:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm (w0[0], 0, selector);
Prepare new SIMD code for kernel, -m 0, 10, 20, 1000 should work in -a 3 mode and other hopefully stay unaffected
2016-01-17 21:17:50 +00:00
w3[0] = 0;
w2[3] = 0;
w2[2] = 0;
w2[1] = 0;
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
break;
}
#endif
}
- Added inline declaration to functions from simd.c, common.c, rp.c and types_ocl.c to increase performance - Dropped static declaration from functions in all kernel to achieve OpenCL 1.1 compatibility - Added -cl-std=CL1.1 to all kernel build options - Created environment variable to inform NVidia OpenCL runtime to not create its own kernel cache - Created environment variable to inform pocl OpenCL runtime to not create its own kernel cache
2016-05-01 21:15:26 +00:00
inline void overwrite_at_le (u32x sw[16], const u32x w0, const u32 salt_len)
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
{
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
#if defined cl_amd_media_ops
switch (salt_len)
{
case 0: sw[0] = w0;
break;
case 1: sw[0] = amd_bytealign (w0, sw[0] << 24, 3);
sw[1] = amd_bytealign (sw[1] >> 8, w0, 3);
break;
case 2: sw[0] = amd_bytealign (w0, sw[0] << 16, 2);
sw[1] = amd_bytealign (sw[1] >> 16, w0, 2);
break;
case 3: sw[0] = amd_bytealign (w0, sw[0] << 8, 1);
sw[1] = amd_bytealign (sw[1] >> 24, w0, 1);
break;
case 4: sw[1] = w0;
break;
case 5: sw[1] = amd_bytealign (w0, sw[1] << 24, 3);
sw[2] = amd_bytealign (sw[2] >> 8, w0, 3);
break;
case 6: sw[1] = amd_bytealign (w0, sw[1] << 16, 2);
sw[2] = amd_bytealign (sw[2] >> 16, w0, 2);
break;
case 7: sw[1] = amd_bytealign (w0, sw[1] << 8, 1);
sw[2] = amd_bytealign (sw[2] >> 24, w0, 1);
break;
case 8: sw[2] = w0;
break;
case 9: sw[2] = amd_bytealign (w0, sw[2] << 24, 3);
sw[3] = amd_bytealign (sw[3] >> 8, w0, 3);
break;
case 10: sw[2] = amd_bytealign (w0, sw[2] << 16, 2);
sw[3] = amd_bytealign (sw[3] >> 16, w0, 2);
break;
case 11: sw[2] = amd_bytealign (w0, sw[2] << 8, 1);
sw[3] = amd_bytealign (sw[3] >> 24, w0, 1);
break;
case 12: sw[3] = w0;
break;
case 13: sw[3] = amd_bytealign (w0, sw[3] << 24, 3);
sw[4] = amd_bytealign (sw[4] >> 8, w0, 3);
break;
case 14: sw[3] = amd_bytealign (w0, sw[3] << 16, 2);
sw[4] = amd_bytealign (sw[4] >> 16, w0, 2);
break;
case 15: sw[3] = amd_bytealign (w0, sw[3] << 8, 1);
sw[4] = amd_bytealign (sw[4] >> 24, w0, 1);
break;
case 16: sw[4] = w0;
break;
case 17: sw[4] = amd_bytealign (w0, sw[4] << 24, 3);
sw[5] = amd_bytealign (sw[5] >> 8, w0, 3);
break;
case 18: sw[4] = amd_bytealign (w0, sw[4] << 16, 2);
sw[5] = amd_bytealign (sw[5] >> 16, w0, 2);
break;
case 19: sw[4] = amd_bytealign (w0, sw[4] << 8, 1);
sw[5] = amd_bytealign (sw[5] >> 24, w0, 1);
break;
case 20: sw[5] = w0;
break;
case 21: sw[5] = amd_bytealign (w0, sw[5] << 24, 3);
sw[6] = amd_bytealign (sw[6] >> 8, w0, 3);
break;
case 22: sw[5] = amd_bytealign (w0, sw[5] << 16, 2);
sw[6] = amd_bytealign (sw[6] >> 16, w0, 2);
break;
case 23: sw[5] = amd_bytealign (w0, sw[5] << 8, 1);
sw[6] = amd_bytealign (sw[6] >> 24, w0, 1);
break;
case 24: sw[6] = w0;
break;
case 25: sw[6] = amd_bytealign (w0, sw[6] << 24, 3);
sw[7] = amd_bytealign (sw[7] >> 8, w0, 3);
break;
case 26: sw[6] = amd_bytealign (w0, sw[6] << 16, 2);
sw[7] = amd_bytealign (sw[7] >> 16, w0, 2);
break;
case 27: sw[6] = amd_bytealign (w0, sw[6] << 8, 1);
sw[7] = amd_bytealign (sw[7] >> 24, w0, 1);
break;
case 28: sw[7] = w0;
break;
case 29: sw[7] = amd_bytealign (w0, sw[7] << 24, 3);
sw[8] = amd_bytealign (sw[8] >> 8, w0, 3);
break;
case 30: sw[7] = amd_bytealign (w0, sw[7] << 16, 2);
sw[8] = amd_bytealign (sw[8] >> 16, w0, 2);
break;
case 31: sw[7] = amd_bytealign (w0, sw[7] << 8, 1);
sw[8] = amd_bytealign (sw[8] >> 24, w0, 1);
break;
}
#else
switch (salt_len)
{
case 0: sw[0] = w0;
break;
case 1: sw[0] = (sw[0] & 0x000000ff) | (w0 << 8);
sw[1] = (sw[1] & 0xffffff00) | (w0 >> 24);
break;
case 2: sw[0] = (sw[0] & 0x0000ffff) | (w0 << 16);
sw[1] = (sw[1] & 0xffff0000) | (w0 >> 16);
break;
case 3: sw[0] = (sw[0] & 0x00ffffff) | (w0 << 24);
sw[1] = (sw[1] & 0xff000000) | (w0 >> 8);
break;
case 4: sw[1] = w0;
break;
case 5: sw[1] = (sw[1] & 0x000000ff) | (w0 << 8);
sw[2] = (sw[2] & 0xffffff00) | (w0 >> 24);
break;
case 6: sw[1] = (sw[1] & 0x0000ffff) | (w0 << 16);
sw[2] = (sw[2] & 0xffff0000) | (w0 >> 16);
break;
case 7: sw[1] = (sw[1] & 0x00ffffff) | (w0 << 24);
sw[2] = (sw[2] & 0xff000000) | (w0 >> 8);
break;
case 8: sw[2] = w0;
break;
case 9: sw[2] = (sw[2] & 0x000000ff) | (w0 << 8);
sw[3] = (sw[3] & 0xffffff00) | (w0 >> 24);
break;
case 10: sw[2] = (sw[2] & 0x0000ffff) | (w0 << 16);
sw[3] = (sw[3] & 0xffff0000) | (w0 >> 16);
break;
case 11: sw[2] = (sw[2] & 0x00ffffff) | (w0 << 24);
sw[3] = (sw[3] & 0xff000000) | (w0 >> 8);
break;
case 12: sw[3] = w0;
break;
case 13: sw[3] = (sw[3] & 0x000000ff) | (w0 << 8);
sw[4] = (sw[4] & 0xffffff00) | (w0 >> 24);
break;
case 14: sw[3] = (sw[3] & 0x0000ffff) | (w0 << 16);
sw[4] = (sw[4] & 0xffff0000) | (w0 >> 16);
break;
case 15: sw[3] = (sw[3] & 0x00ffffff) | (w0 << 24);
sw[4] = (sw[4] & 0xff000000) | (w0 >> 8);
break;
case 16: sw[4] = w0;
break;
case 17: sw[4] = (sw[4] & 0x000000ff) | (w0 << 8);
sw[5] = (sw[5] & 0xffffff00) | (w0 >> 24);
break;
case 18: sw[4] = (sw[4] & 0x0000ffff) | (w0 << 16);
sw[5] = (sw[5] & 0xffff0000) | (w0 >> 16);
break;
case 19: sw[4] = (sw[4] & 0x00ffffff) | (w0 << 24);
sw[5] = (sw[5] & 0xff000000) | (w0 >> 8);
break;
case 20: sw[5] = w0;
break;
case 21: sw[5] = (sw[5] & 0x000000ff) | (w0 << 8);
sw[6] = (sw[6] & 0xffffff00) | (w0 >> 24);
break;
case 22: sw[5] = (sw[5] & 0x0000ffff) | (w0 << 16);
sw[6] = (sw[6] & 0xffff0000) | (w0 >> 16);
break;
case 23: sw[5] = (sw[5] & 0x00ffffff) | (w0 << 24);
sw[6] = (sw[6] & 0xff000000) | (w0 >> 8);
break;
case 24: sw[6] = w0;
break;
case 25: sw[6] = (sw[6] & 0x000000ff) | (w0 << 8);
sw[7] = (sw[7] & 0xffffff00) | (w0 >> 24);
break;
case 26: sw[6] = (sw[6] & 0x0000ffff) | (w0 << 16);
sw[7] = (sw[7] & 0xffff0000) | (w0 >> 16);
break;
case 27: sw[6] = (sw[6] & 0x00ffffff) | (w0 << 24);
sw[7] = (sw[7] & 0xff000000) | (w0 >> 8);
break;
case 28: sw[7] = w0;
break;
case 29: sw[7] = (sw[7] & 0x000000ff) | (w0 << 8);
sw[8] = (sw[8] & 0xffffff00) | (w0 >> 24);
break;
case 30: sw[7] = (sw[7] & 0x0000ffff) | (w0 << 16);
sw[8] = (sw[8] & 0xffff0000) | (w0 >> 16);
break;
case 31: sw[7] = (sw[7] & 0x00ffffff) | (w0 << 24);
sw[8] = (sw[8] & 0xff000000) | (w0 >> 8);
break;
}
#endif
}
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
- Added inline declaration to functions from simd.c, common.c, rp.c and types_ocl.c to increase performance - Dropped static declaration from functions in all kernel to achieve OpenCL 1.1 compatibility - Added -cl-std=CL1.1 to all kernel build options - Created environment variable to inform NVidia OpenCL runtime to not create its own kernel cache - Created environment variable to inform pocl OpenCL runtime to not create its own kernel cache
2016-05-01 21:15:26 +00:00
inline void overwrite_at_be (u32x sw[16], const u32x w0, const u32 salt_len)
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
{
// would be nice to have optimization based on amd_bytealign as with _le counterpart
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
switch (salt_len)
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
{
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
case 0: sw[0] = w0;
break;
case 1: sw[0] = (sw[0] & 0xff000000) | (w0 >> 8);
sw[1] = (sw[1] & 0x00ffffff) | (w0 << 24);
break;
case 2: sw[0] = (sw[0] & 0xffff0000) | (w0 >> 16);
sw[1] = (sw[1] & 0x0000ffff) | (w0 << 16);
break;
case 3: sw[0] = (sw[0] & 0xffffff00) | (w0 >> 24);
sw[1] = (sw[1] & 0x000000ff) | (w0 << 8);
break;
case 4: sw[1] = w0;
break;
case 5: sw[1] = (sw[1] & 0xff000000) | (w0 >> 8);
sw[2] = (sw[2] & 0x00ffffff) | (w0 << 24);
break;
case 6: sw[1] = (sw[1] & 0xffff0000) | (w0 >> 16);
sw[2] = (sw[2] & 0x0000ffff) | (w0 << 16);
break;
case 7: sw[1] = (sw[1] & 0xffffff00) | (w0 >> 24);
sw[2] = (sw[2] & 0x000000ff) | (w0 << 8);
break;
case 8: sw[2] = w0;
break;
case 9: sw[2] = (sw[2] & 0xff000000) | (w0 >> 8);
sw[3] = (sw[3] & 0x00ffffff) | (w0 << 24);
break;
case 10: sw[2] = (sw[2] & 0xffff0000) | (w0 >> 16);
sw[3] = (sw[3] & 0x0000ffff) | (w0 << 16);
break;
case 11: sw[2] = (sw[2] & 0xffffff00) | (w0 >> 24);
sw[3] = (sw[3] & 0x000000ff) | (w0 << 8);
break;
case 12: sw[3] = w0;
break;
case 13: sw[3] = (sw[3] & 0xff000000) | (w0 >> 8);
sw[4] = (sw[4] & 0x00ffffff) | (w0 << 24);
break;
case 14: sw[3] = (sw[3] & 0xffff0000) | (w0 >> 16);
sw[4] = (sw[4] & 0x0000ffff) | (w0 << 16);
break;
case 15: sw[3] = (sw[3] & 0xffffff00) | (w0 >> 24);
sw[4] = (sw[4] & 0x000000ff) | (w0 << 8);
break;
case 16: sw[4] = w0;
break;
case 17: sw[4] = (sw[4] & 0xff000000) | (w0 >> 8);
sw[5] = (sw[5] & 0x00ffffff) | (w0 << 24);
break;
case 18: sw[4] = (sw[4] & 0xffff0000) | (w0 >> 16);
sw[5] = (sw[5] & 0x0000ffff) | (w0 << 16);
break;
case 19: sw[4] = (sw[4] & 0xffffff00) | (w0 >> 24);
sw[5] = (sw[5] & 0x000000ff) | (w0 << 8);
break;
case 20: sw[5] = w0;
break;
case 21: sw[5] = (sw[5] & 0xff000000) | (w0 >> 8);
sw[6] = (sw[6] & 0x00ffffff) | (w0 << 24);
break;
case 22: sw[5] = (sw[5] & 0xffff0000) | (w0 >> 16);
sw[6] = (sw[6] & 0x0000ffff) | (w0 << 16);
break;
case 23: sw[5] = (sw[5] & 0xffffff00) | (w0 >> 24);
sw[6] = (sw[6] & 0x000000ff) | (w0 << 8);
break;
case 24: sw[6] = w0;
break;
case 25: sw[6] = (sw[6] & 0xff000000) | (w0 >> 8);
sw[7] = (sw[7] & 0x00ffffff) | (w0 << 24);
break;
case 26: sw[6] = (sw[6] & 0xffff0000) | (w0 >> 16);
sw[7] = (sw[7] & 0x0000ffff) | (w0 << 16);
break;
case 27: sw[6] = (sw[6] & 0xffffff00) | (w0 >> 24);
sw[7] = (sw[7] & 0x000000ff) | (w0 << 8);
break;
case 28: sw[7] = w0;
break;
case 29: sw[7] = (sw[7] & 0xff000000) | (w0 >> 8);
sw[8] = (sw[8] & 0x00ffffff) | (w0 << 24);
break;
case 30: sw[7] = (sw[7] & 0xffff0000) | (w0 >> 16);
sw[8] = (sw[8] & 0x0000ffff) | (w0 << 16);
break;
case 31: sw[7] = (sw[7] & 0xffffff00) | (w0 >> 24);
sw[8] = (sw[8] & 0x000000ff) | (w0 << 8);
break;
}
}
Fix append_* function calls
2015-12-15 12:42:37 +00:00
- Added inline declaration to functions from simd.c, common.c, rp.c and types_ocl.c to increase performance - Dropped static declaration from functions in all kernel to achieve OpenCL 1.1 compatibility - Added -cl-std=CL1.1 to all kernel build options - Created environment variable to inform NVidia OpenCL runtime to not create its own kernel cache - Created environment variable to inform pocl OpenCL runtime to not create its own kernel cache
2016-05-01 21:15:26 +00:00
inline void overwrite_at_le_4x4 (u32x w0[4], u32x w1[4], u32x w2[4], u32x w3[4], const u32x wx, const u32 salt_len)
Speed up -m 20 in -a 3 mode
2016-02-23 11:18:47 +00:00
{
#if defined cl_amd_media_ops
switch (salt_len)
{
case 0: w0[0] = wx;
break;
case 1: w0[0] = amd_bytealign (wx, w0[0] << 24, 3);
w0[1] = amd_bytealign (w0[1] >> 8, wx, 3);
break;
case 2: w0[0] = amd_bytealign (wx, w0[0] << 16, 2);
w0[1] = amd_bytealign (w0[1] >> 16, wx, 2);
break;
case 3: w0[0] = amd_bytealign (wx, w0[0] << 8, 1);
w0[1] = amd_bytealign (w0[1] >> 24, wx, 1);
break;
case 4: w0[1] = wx;
break;
case 5: w0[1] = amd_bytealign (wx, w0[1] << 24, 3);
w0[2] = amd_bytealign (w0[2] >> 8, wx, 3);
break;
case 6: w0[1] = amd_bytealign (wx, w0[1] << 16, 2);
w0[2] = amd_bytealign (w0[2] >> 16, wx, 2);
break;
case 7: w0[1] = amd_bytealign (wx, w0[1] << 8, 1);
w0[2] = amd_bytealign (w0[2] >> 24, wx, 1);
break;
case 8: w0[2] = wx;
break;
case 9: w0[2] = amd_bytealign (wx, w0[2] << 24, 3);
w0[3] = amd_bytealign (w0[3] >> 8, wx, 3);
break;
case 10: w0[2] = amd_bytealign (wx, w0[2] << 16, 2);
w0[3] = amd_bytealign (w0[3] >> 16, wx, 2);
break;
case 11: w0[2] = amd_bytealign (wx, w0[2] << 8, 1);
w0[3] = amd_bytealign (w0[3] >> 24, wx, 1);
break;
case 12: w0[3] = wx;
break;
case 13: w0[3] = amd_bytealign (wx, w0[3] << 24, 3);
w1[0] = amd_bytealign (w1[0] >> 8, wx, 3);
break;
case 14: w0[3] = amd_bytealign (wx, w0[3] << 16, 2);
w1[0] = amd_bytealign (w1[0] >> 16, wx, 2);
break;
case 15: w0[3] = amd_bytealign (wx, w0[3] << 8, 1);
w1[0] = amd_bytealign (w1[0] >> 24, wx, 1);
break;
case 16: w1[0] = wx;
break;
case 17: w1[0] = amd_bytealign (wx, w1[0] << 24, 3);
w1[1] = amd_bytealign (w1[1] >> 8, wx, 3);
break;
case 18: w1[0] = amd_bytealign (wx, w1[0] << 16, 2);
w1[1] = amd_bytealign (w1[1] >> 16, wx, 2);
break;
case 19: w1[0] = amd_bytealign (wx, w1[0] << 8, 1);
w1[1] = amd_bytealign (w1[1] >> 24, wx, 1);
break;
case 20: w1[1] = wx;
break;
case 21: w1[1] = amd_bytealign (wx, w1[1] << 24, 3);
w1[2] = amd_bytealign (w1[2] >> 8, wx, 3);
break;
case 22: w1[1] = amd_bytealign (wx, w1[1] << 16, 2);
w1[2] = amd_bytealign (w1[2] >> 16, wx, 2);
break;
case 23: w1[1] = amd_bytealign (wx, w1[1] << 8, 1);
w1[2] = amd_bytealign (w1[2] >> 24, wx, 1);
break;
case 24: w1[2] = wx;
break;
case 25: w1[2] = amd_bytealign (wx, w1[2] << 24, 3);
w1[3] = amd_bytealign (w1[3] >> 8, wx, 3);
break;
case 26: w1[2] = amd_bytealign (wx, w1[2] << 16, 2);
w1[3] = amd_bytealign (w1[3] >> 16, wx, 2);
break;
case 27: w1[2] = amd_bytealign (wx, w1[2] << 8, 1);
w1[3] = amd_bytealign (w1[3] >> 24, wx, 1);
break;
case 28: w1[3] = wx;
break;
case 29: w1[3] = amd_bytealign (wx, w1[3] << 24, 3);
w2[0] = amd_bytealign (w2[0] >> 8, wx, 3);
break;
case 30: w1[3] = amd_bytealign (wx, w1[3] << 16, 2);
w2[0] = amd_bytealign (w2[0] >> 16, wx, 2);
break;
case 31: w1[3] = amd_bytealign (wx, w1[3] << 8, 1);
w2[0] = amd_bytealign (w2[0] >> 24, wx, 1);
break;
fixed overwrite_at_le_4x4 () function (if offset is 32)
2016-03-07 12:45:02 +00:00
case 32: w2[0] = wx;
Speed up -m 20 in -a 3 mode
2016-02-23 11:18:47 +00:00
break;
case 33: w2[0] = amd_bytealign (wx, w2[0] << 24, 3);
w2[1] = amd_bytealign (w2[1] >> 8, wx, 3);
break;
case 34: w2[0] = amd_bytealign (wx, w2[0] << 16, 2);
w2[1] = amd_bytealign (w2[1] >> 16, wx, 2);
break;
case 35: w2[0] = amd_bytealign (wx, w2[0] << 8, 1);
w2[1] = amd_bytealign (w2[1] >> 24, wx, 1);
break;
case 36: w2[1] = wx;
break;
case 37: w2[1] = amd_bytealign (wx, w2[1] << 24, 3);
w2[2] = amd_bytealign (w2[2] >> 8, wx, 3);
break;
case 38: w2[1] = amd_bytealign (wx, w2[1] << 16, 2);
w2[2] = amd_bytealign (w2[2] >> 16, wx, 2);
break;
case 39: w2[1] = amd_bytealign (wx, w2[1] << 8, 1);
w2[2] = amd_bytealign (w2[2] >> 24, wx, 1);
break;
case 40: w2[2] = wx;
break;
case 41: w2[2] = amd_bytealign (wx, w2[2] << 24, 3);
w2[3] = amd_bytealign (w2[3] >> 8, wx, 3);
break;
case 42: w2[2] = amd_bytealign (wx, w2[2] << 16, 2);
w2[3] = amd_bytealign (w2[3] >> 16, wx, 2);
break;
case 43: w2[2] = amd_bytealign (wx, w2[2] << 8, 1);
w2[3] = amd_bytealign (w2[3] >> 24, wx, 1);
break;
case 44: w2[3] = wx;
break;
case 45: w2[3] = amd_bytealign (wx, w2[3] << 24, 3);
w3[0] = amd_bytealign (w3[0] >> 8, wx, 3);
break;
case 46: w2[3] = amd_bytealign (wx, w2[3] << 16, 2);
w3[0] = amd_bytealign (w3[0] >> 16, wx, 2);
break;
case 47: w2[3] = amd_bytealign (wx, w2[3] << 8, 1);
w3[0] = amd_bytealign (w3[0] >> 24, wx, 1);
break;
case 48: w3[0] = wx;
break;
case 49: w3[0] = amd_bytealign (wx, w3[0] << 24, 3);
w3[1] = amd_bytealign (w3[1] >> 8, wx, 3);
break;
case 50: w3[0] = amd_bytealign (wx, w3[0] << 16, 2);
w3[1] = amd_bytealign (w3[1] >> 16, wx, 2);
break;
case 51: w3[0] = amd_bytealign (wx, w3[0] << 8, 1);
w3[1] = amd_bytealign (w3[1] >> 24, wx, 1);
break;
case 52: w3[1] = wx;
break;
case 53: w3[1] = amd_bytealign (wx, w3[1] << 24, 3);
w3[2] = amd_bytealign (w3[2] >> 8, wx, 3);
break;
case 54: w3[1] = amd_bytealign (wx, w3[1] << 16, 2);
w3[2] = amd_bytealign (w3[2] >> 16, wx, 2);
break;
case 55: w3[1] = amd_bytealign (wx, w3[1] << 8, 1);
w3[2] = amd_bytealign (w3[2] >> 24, wx, 1);
break;
case 56: w3[2] = wx;
break;
case 57: w3[2] = amd_bytealign (wx, w3[2] << 24, 3);
w3[3] = amd_bytealign (w3[3] >> 8, wx, 3);
break;
case 58: w3[2] = amd_bytealign (wx, w3[2] << 16, 2);
w3[3] = amd_bytealign (w3[3] >> 16, wx, 2);
break;
case 59: w3[2] = amd_bytealign (wx, w3[2] << 8, 1);
w3[3] = amd_bytealign (w3[3] >> 24, wx, 1);
break;
case 60: w3[3] = wx;
break;
case 61: w3[3] = amd_bytealign (wx, w3[3] << 24, 3);
//w4[0] = amd_bytealign (w4[0] >> 8, wx, 3);
break;
case 62: w3[3] = amd_bytealign (wx, w3[3] << 16, 2);
//w4[0] = amd_bytealign (w4[0] >> 16, wx, 2);
break;
case 63: w3[3] = amd_bytealign (wx, w3[3] << 8, 1);
//w4[0] = amd_bytealign (w4[0] >> 24, wx, 1);
break;
}
#else
switch (salt_len)
{
case 0: w0[0] = wx;
break;
case 1: w0[0] = (w0[0] & 0x000000ff) | (wx << 8);
w0[1] = (w0[1] & 0xffffff00) | (wx >> 24);
break;
case 2: w0[0] = (w0[0] & 0x0000ffff) | (wx << 16);
w0[1] = (w0[1] & 0xffff0000) | (wx >> 16);
break;
case 3: w0[0] = (w0[0] & 0x00ffffff) | (wx << 24);
w0[1] = (w0[1] & 0xff000000) | (wx >> 8);
break;
case 4: w0[1] = wx;
break;
case 5: w0[1] = (w0[1] & 0x000000ff) | (wx << 8);
w0[2] = (w0[2] & 0xffffff00) | (wx >> 24);
break;
case 6: w0[1] = (w0[1] & 0x0000ffff) | (wx << 16);
w0[2] = (w0[2] & 0xffff0000) | (wx >> 16);
break;
case 7: w0[1] = (w0[1] & 0x00ffffff) | (wx << 24);
w0[2] = (w0[2] & 0xff000000) | (wx >> 8);
break;
case 8: w0[2] = wx;
break;
case 9: w0[2] = (w0[2] & 0x000000ff) | (wx << 8);
w0[3] = (w0[3] & 0xffffff00) | (wx >> 24);
break;
case 10: w0[2] = (w0[2] & 0x0000ffff) | (wx << 16);
w0[3] = (w0[3] & 0xffff0000) | (wx >> 16);
break;
case 11: w0[2] = (w0[2] & 0x00ffffff) | (wx << 24);
w0[3] = (w0[3] & 0xff000000) | (wx >> 8);
break;
case 12: w0[3] = wx;
break;
case 13: w0[3] = (w0[3] & 0x000000ff) | (wx << 8);
w1[0] = (w1[0] & 0xffffff00) | (wx >> 24);
break;
case 14: w0[3] = (w0[3] & 0x0000ffff) | (wx << 16);
w1[0] = (w1[0] & 0xffff0000) | (wx >> 16);
break;
case 15: w0[3] = (w0[3] & 0x00ffffff) | (wx << 24);
w1[0] = (w1[0] & 0xff000000) | (wx >> 8);
break;
case 16: w1[0] = wx;
break;
case 17: w1[0] = (w1[0] & 0x000000ff) | (wx << 8);
w1[1] = (w1[1] & 0xffffff00) | (wx >> 24);
break;
case 18: w1[0] = (w1[0] & 0x0000ffff) | (wx << 16);
w1[1] = (w1[1] & 0xffff0000) | (wx >> 16);
break;
case 19: w1[0] = (w1[0] & 0x00ffffff) | (wx << 24);
w1[1] = (w1[1] & 0xff000000) | (wx >> 8);
break;
case 20: w1[1] = wx;
break;
case 21: w1[1] = (w1[1] & 0x000000ff) | (wx << 8);
w1[2] = (w1[2] & 0xffffff00) | (wx >> 24);
break;
case 22: w1[1] = (w1[1] & 0x0000ffff) | (wx << 16);
w1[2] = (w1[2] & 0xffff0000) | (wx >> 16);
break;
case 23: w1[1] = (w1[1] & 0x00ffffff) | (wx << 24);
w1[2] = (w1[2] & 0xff000000) | (wx >> 8);
break;
case 24: w1[2] = wx;
break;
case 25: w1[2] = (w1[2] & 0x000000ff) | (wx << 8);
w1[3] = (w1[3] & 0xffffff00) | (wx >> 24);
break;
case 26: w1[2] = (w1[2] & 0x0000ffff) | (wx << 16);
w1[3] = (w1[3] & 0xffff0000) | (wx >> 16);
break;
case 27: w1[2] = (w1[2] & 0x00ffffff) | (wx << 24);
w1[3] = (w1[3] & 0xff000000) | (wx >> 8);
break;
case 28: w1[3] = wx;
break;
case 29: w1[3] = (w1[3] & 0x000000ff) | (wx << 8);
w2[0] = (w2[0] & 0xffffff00) | (wx >> 24);
break;
case 30: w1[3] = (w1[3] & 0x0000ffff) | (wx << 16);
w2[0] = (w2[0] & 0xffff0000) | (wx >> 16);
break;
case 31: w1[3] = (w1[3] & 0x00ffffff) | (wx << 24);
w2[0] = (w2[0] & 0xff000000) | (wx >> 8);
break;
case 32: w2[0] = wx;
break;
case 33: w2[0] = (w2[0] & 0x000000ff) | (wx << 8);
w2[1] = (w2[1] & 0xffffff00) | (wx >> 24);
break;
case 34: w2[0] = (w2[0] & 0x0000ffff) | (wx << 16);
w2[1] = (w2[1] & 0xffff0000) | (wx >> 16);
break;
case 35: w2[0] = (w2[0] & 0x00ffffff) | (wx << 24);
w2[1] = (w2[1] & 0xff000000) | (wx >> 8);
break;
case 36: w2[1] = wx;
break;
case 37: w2[1] = (w2[1] & 0x000000ff) | (wx << 8);
w2[2] = (w2[2] & 0xffffff00) | (wx >> 24);
break;
case 38: w2[1] = (w2[1] & 0x0000ffff) | (wx << 16);
w2[2] = (w2[2] & 0xffff0000) | (wx >> 16);
break;
case 39: w2[1] = (w2[1] & 0x00ffffff) | (wx << 24);
w2[2] = (w2[2] & 0xff000000) | (wx >> 8);
break;
case 40: w2[2] = wx;
break;
case 41: w2[2] = (w2[2] & 0x000000ff) | (wx << 8);
w2[3] = (w2[3] & 0xffffff00) | (wx >> 24);
break;
case 42: w2[2] = (w2[2] & 0x0000ffff) | (wx << 16);
w2[3] = (w2[3] & 0xffff0000) | (wx >> 16);
break;
case 43: w2[2] = (w2[2] & 0x00ffffff) | (wx << 24);
w2[3] = (w2[3] & 0xff000000) | (wx >> 8);
break;
case 44: w2[3] = wx;
break;
case 45: w2[3] = (w2[3] & 0x000000ff) | (wx << 8);
w3[0] = (w3[0] & 0xffffff00) | (wx >> 24);
break;
case 46: w2[3] = (w2[3] & 0x0000ffff) | (wx << 16);
w3[0] = (w3[0] & 0xffff0000) | (wx >> 16);
break;
case 47: w2[3] = (w2[3] & 0x00ffffff) | (wx << 24);
w3[0] = (w3[0] & 0xff000000) | (wx >> 8);
break;
case 48: w3[0] = wx;
break;
case 49: w3[0] = (w3[0] & 0x000000ff) | (wx << 8);
w3[1] = (w3[1] & 0xffffff00) | (wx >> 24);
break;
case 50: w3[0] = (w3[0] & 0x0000ffff) | (wx << 16);
w3[1] = (w3[1] & 0xffff0000) | (wx >> 16);
break;
case 51: w3[0] = (w3[0] & 0x00ffffff) | (wx << 24);
w3[1] = (w3[1] & 0xff000000) | (wx >> 8);
break;
case 52: w3[1] = wx;
break;
case 53: w3[1] = (w3[1] & 0x000000ff) | (wx << 8);
w3[2] = (w3[2] & 0xffffff00) | (wx >> 24);
break;
case 54: w3[1] = (w3[1] & 0x0000ffff) | (wx << 16);
w3[2] = (w3[2] & 0xffff0000) | (wx >> 16);
break;
case 55: w3[1] = (w3[1] & 0x00ffffff) | (wx << 24);
w3[2] = (w3[2] & 0xff000000) | (wx >> 8);
break;
case 56: w3[2] = wx;
break;
case 57: w3[2] = (w3[2] & 0x000000ff) | (wx << 8);
w3[3] = (w3[3] & 0xffffff00) | (wx >> 24);
break;
case 58: w3[2] = (w3[2] & 0x0000ffff) | (wx << 16);
w3[3] = (w3[3] & 0xffff0000) | (wx >> 16);
break;
case 59: w3[2] = (w3[2] & 0x00ffffff) | (wx << 24);
w3[3] = (w3[3] & 0xff000000) | (wx >> 8);
break;
case 60: w3[3] = wx;
break;
case 61: w3[3] = (w3[3] & 0x000000ff) | (wx << 8);
//w4[0] = (w4[0] & 0xffffff00) | (wx >> 24);
break;
case 62: w3[3] = (w3[3] & 0x0000ffff) | (wx << 16);
//w4[0] = (w4[0] & 0xffff0000) | (wx >> 16);
break;
case 63: w3[3] = (w3[3] & 0x00ffffff) | (wx << 24);
//w4[0] = (w4[0] & 0xff000000) | (wx >> 8);
break;
}
#endif
}
- Added inline declaration to functions from simd.c, common.c, rp.c and types_ocl.c to increase performance - Dropped static declaration from functions in all kernel to achieve OpenCL 1.1 compatibility - Added -cl-std=CL1.1 to all kernel build options - Created environment variable to inform NVidia OpenCL runtime to not create its own kernel cache - Created environment variable to inform pocl OpenCL runtime to not create its own kernel cache
2016-05-01 21:15:26 +00:00
inline void overwrite_at_be_4x4 (u32x w0[4], u32x w1[4], u32x w2[4], u32x w3[4], const u32x wx, const u32 salt_len)
Speed up -m 20 in -a 3 mode
2016-02-23 11:18:47 +00:00
{
// would be nice to have optimization based on amd_bytealign as with _le counterpart
switch (salt_len)
{
case 0: w0[0] = wx;
break;
case 1: w0[0] = (w0[0] & 0xff000000) | (wx >> 8);
w0[1] = (w0[1] & 0x00ffffff) | (wx << 24);
break;
case 2: w0[0] = (w0[0] & 0xffff0000) | (wx >> 16);
w0[1] = (w0[1] & 0x0000ffff) | (wx << 16);
break;
case 3: w0[0] = (w0[0] & 0xffffff00) | (wx >> 24);
w0[1] = (w0[1] & 0x000000ff) | (wx << 8);
break;
case 4: w0[1] = wx;
break;
case 5: w0[1] = (w0[1] & 0xff000000) | (wx >> 8);
w0[2] = (w0[2] & 0x00ffffff) | (wx << 24);
break;
case 6: w0[1] = (w0[1] & 0xffff0000) | (wx >> 16);
w0[2] = (w0[2] & 0x0000ffff) | (wx << 16);
break;
case 7: w0[1] = (w0[1] & 0xffffff00) | (wx >> 24);
w0[2] = (w0[2] & 0x000000ff) | (wx << 8);
break;
case 8: w0[2] = wx;
break;
case 9: w0[2] = (w0[2] & 0xff000000) | (wx >> 8);
w0[3] = (w0[3] & 0x00ffffff) | (wx << 24);
break;
case 10: w0[2] = (w0[2] & 0xffff0000) | (wx >> 16);
w0[3] = (w0[3] & 0x0000ffff) | (wx << 16);
break;
case 11: w0[2] = (w0[2] & 0xffffff00) | (wx >> 24);
w0[3] = (w0[3] & 0x000000ff) | (wx << 8);
break;
case 12: w0[3] = wx;
break;
case 13: w0[3] = (w0[3] & 0xff000000) | (wx >> 8);
w1[0] = (w1[0] & 0x00ffffff) | (wx << 24);
break;
case 14: w0[3] = (w0[3] & 0xffff0000) | (wx >> 16);
w1[0] = (w1[0] & 0x0000ffff) | (wx << 16);
break;
case 15: w0[3] = (w0[3] & 0xffffff00) | (wx >> 24);
w1[0] = (w1[0] & 0x000000ff) | (wx << 8);
break;
case 16: w1[0] = wx;
break;
case 17: w1[0] = (w1[0] & 0xff000000) | (wx >> 8);
w1[1] = (w1[1] & 0x00ffffff) | (wx << 24);
break;
case 18: w1[0] = (w1[0] & 0xffff0000) | (wx >> 16);
w1[1] = (w1[1] & 0x0000ffff) | (wx << 16);
break;
case 19: w1[0] = (w1[0] & 0xffffff00) | (wx >> 24);
w1[1] = (w1[1] & 0x000000ff) | (wx << 8);
break;
case 20: w1[1] = wx;
break;
case 21: w1[1] = (w1[1] & 0xff000000) | (wx >> 8);
w1[2] = (w1[2] & 0x00ffffff) | (wx << 24);
break;
case 22: w1[1] = (w1[1] & 0xffff0000) | (wx >> 16);
w1[2] = (w1[2] & 0x0000ffff) | (wx << 16);
break;
case 23: w1[1] = (w1[1] & 0xffffff00) | (wx >> 24);
w1[2] = (w1[2] & 0x000000ff) | (wx << 8);
break;
case 24: w1[2] = wx;
break;
case 25: w1[2] = (w1[2] & 0xff000000) | (wx >> 8);
w1[3] = (w1[3] & 0x00ffffff) | (wx << 24);
break;
case 26: w1[2] = (w1[2] & 0xffff0000) | (wx >> 16);
w1[3] = (w1[3] & 0x0000ffff) | (wx << 16);
break;
case 27: w1[2] = (w1[2] & 0xffffff00) | (wx >> 24);
w1[3] = (w1[3] & 0x000000ff) | (wx << 8);
break;
case 28: w1[3] = wx;
break;
case 29: w1[3] = (w1[3] & 0xff000000) | (wx >> 8);
w2[0] = (w2[0] & 0x00ffffff) | (wx << 24);
break;
case 30: w1[3] = (w1[3] & 0xffff0000) | (wx >> 16);
w2[0] = (w2[0] & 0x0000ffff) | (wx << 16);
break;
case 31: w1[3] = (w1[3] & 0xffffff00) | (wx >> 24);
w2[0] = (w2[0] & 0x000000ff) | (wx << 8);
break;
case 32: w2[0] = wx;
break;
case 33: w2[0] = (w2[0] & 0xff000000) | (wx >> 8);
w2[1] = (w2[1] & 0x00ffffff) | (wx << 24);
break;
case 34: w2[0] = (w2[0] & 0xffff0000) | (wx >> 16);
w2[1] = (w2[1] & 0x0000ffff) | (wx << 16);
break;
case 35: w2[0] = (w2[0] & 0xffffff00) | (wx >> 24);
w2[1] = (w2[1] & 0x000000ff) | (wx << 8);
break;
case 36: w2[1] = wx;
break;
case 37: w2[1] = (w2[1] & 0xff000000) | (wx >> 8);
w2[2] = (w2[2] & 0x00ffffff) | (wx << 24);
break;
case 38: w2[1] = (w2[1] & 0xffff0000) | (wx >> 16);
w2[2] = (w2[2] & 0x0000ffff) | (wx << 16);
break;
case 39: w2[1] = (w2[1] & 0xffffff00) | (wx >> 24);
w2[2] = (w2[2] & 0x000000ff) | (wx << 8);
break;
case 40: w2[2] = wx;
break;
case 41: w2[2] = (w2[2] & 0xff000000) | (wx >> 8);
w2[3] = (w2[3] & 0x00ffffff) | (wx << 24);
break;
case 42: w2[2] = (w2[2] & 0xffff0000) | (wx >> 16);
w2[3] = (w2[3] & 0x0000ffff) | (wx << 16);
break;
case 43: w2[2] = (w2[2] & 0xffffff00) | (wx >> 24);
w2[3] = (w2[3] & 0x000000ff) | (wx << 8);
break;
case 44: w2[3] = wx;
break;
case 45: w2[3] = (w2[3] & 0xff000000) | (wx >> 8);
w3[0] = (w3[0] & 0x00ffffff) | (wx << 24);
break;
case 46: w2[3] = (w2[3] & 0xffff0000) | (wx >> 16);
w3[0] = (w3[0] & 0x0000ffff) | (wx << 16);
break;
case 47: w2[3] = (w2[3] & 0xffffff00) | (wx >> 24);
w3[0] = (w3[0] & 0x000000ff) | (wx << 8);
break;
case 48: w3[0] = wx;
break;
case 49: w3[0] = (w3[0] & 0xff000000) | (wx >> 8);
w3[1] = (w3[1] & 0x00ffffff) | (wx << 24);
break;
case 50: w3[0] = (w3[0] & 0xffff0000) | (wx >> 16);
w3[1] = (w3[1] & 0x0000ffff) | (wx << 16);
break;
case 51: w3[0] = (w3[0] & 0xffffff00) | (wx >> 24);
w3[1] = (w3[1] & 0x000000ff) | (wx << 8);
break;
case 52: w3[1] = wx;
break;
case 53: w3[1] = (w3[1] & 0xff000000) | (wx >> 8);
w3[2] = (w3[2] & 0x00ffffff) | (wx << 24);
break;
case 54: w3[1] = (w3[1] & 0xffff0000) | (wx >> 16);
w3[2] = (w3[2] & 0x0000ffff) | (wx << 16);
break;
case 55: w3[1] = (w3[1] & 0xffffff00) | (wx >> 24);
w3[2] = (w3[2] & 0x000000ff) | (wx << 8);
break;
case 56: w3[2] = wx;
break;
case 57: w3[2] = (w3[2] & 0xff000000) | (wx >> 8);
w3[3] = (w3[3] & 0x00ffffff) | (wx << 24);
break;
case 58: w3[2] = (w3[2] & 0xffff0000) | (wx >> 16);
w3[3] = (w3[3] & 0x0000ffff) | (wx << 16);
break;
case 59: w3[2] = (w3[2] & 0xffffff00) | (wx >> 24);
w3[3] = (w3[3] & 0x000000ff) | (wx << 8);
break;
case 60: w3[3] = wx;
break;
case 61: w3[3] = (w3[3] & 0xff000000) | (wx >> 8);
//w4[0] = (w4[0] & 0x00ffffff) | (wx << 24);
break;
case 62: w3[3] = (w3[3] & 0xffff0000) | (wx >> 16);
//w4[0] = (w4[0] & 0x0000ffff) | (wx << 16);
break;
case 63: w3[3] = (w3[3] & 0xffffff00) | (wx >> 24);
//w4[0] = (w4[0] & 0x000000ff) | (wx << 8);
break;
}
}
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
/**
* vector functions as scalar (for outer loop usage)
*/
Fix append_* function calls
2015-12-15 12:42:37 +00:00
Added SIMD code for DCC2
2016-05-14 23:13:09 +00:00
inline void append_0x01_1x4_S (u32 w0[4], const u32 offset)
{
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
const u32 tmp = 0x01 << ((offset & 3) * 8);
Added SIMD code for DCC2
2016-05-14 23:13:09 +00:00
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w0[0] |= (offset < 4) ? tmp : 0;
w0[1] |= ((offset >= 4) && (offset < 8)) ? tmp : 0;
w0[2] |= ((offset >= 8) && (offset < 12)) ? tmp : 0;
w0[3] |= (offset >= 12) ? tmp : 0;
Added SIMD code for DCC2
2016-05-14 23:13:09 +00:00
}
Fix compiler warnings
2016-05-09 17:23:37 +00:00
inline void append_0x01_2x4_S (u32 w0[4], u32 w1[4], const u32 offset)
Add missing function append_0x01_2x4_S()
2016-02-27 16:29:27 +00:00
{
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
const u32 tmp = 0x01 << ((offset & 3) * 8);
w0[0] |= (offset < 4) ? tmp : 0;
w0[1] |= ((offset >= 4) && (offset < 8)) ? tmp : 0;
w0[2] |= ((offset >= 8) && (offset < 12)) ? tmp : 0;
w0[3] |= ((offset >= 12) && (offset < 16)) ? tmp : 0;
w1[0] |= ((offset >= 16) && (offset < 20)) ? tmp : 0;
w1[1] |= ((offset >= 20) && (offset < 24)) ? tmp : 0;
w1[2] |= ((offset >= 24) && (offset < 28)) ? tmp : 0;
w1[3] |= (offset >= 28) ? tmp : 0;
For some easy actions, maxwell GPU prefer not to use switch()
2016-10-31 13:22:00 +00:00
}
Add missing function append_0x01_2x4_S()
2016-02-27 16:29:27 +00:00
For some easy actions, maxwell GPU prefer not to use switch()
2016-10-31 13:22:00 +00:00
inline void append_0x01_3x4_S (u32 w0[4], u32 w1[4], u32 w2[4], const u32 offset)
{
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
const u32 tmp = 0x01 << ((offset & 3) * 8);
w0[0] |= (offset < 4) ? tmp : 0;
w0[1] |= ((offset >= 4) && (offset < 8)) ? tmp : 0;
w0[2] |= ((offset >= 8) && (offset < 12)) ? tmp : 0;
w0[3] |= ((offset >= 12) && (offset < 16)) ? tmp : 0;
w1[0] |= ((offset >= 16) && (offset < 20)) ? tmp : 0;
w1[1] |= ((offset >= 20) && (offset < 24)) ? tmp : 0;
w1[2] |= ((offset >= 24) && (offset < 28)) ? tmp : 0;
w1[3] |= ((offset >= 28) && (offset < 32)) ? tmp : 0;
w2[0] |= ((offset >= 32) && (offset < 36)) ? tmp : 0;
w2[1] |= ((offset >= 36) && (offset < 40)) ? tmp : 0;
w2[2] |= ((offset >= 40) && (offset < 44)) ? tmp : 0;
w2[3] |= (offset >= 44) ? tmp : 0;
For some easy actions, maxwell GPU prefer not to use switch()
2016-10-31 13:22:00 +00:00
}
Add missing function append_0x01_2x4_S()
2016-02-27 16:29:27 +00:00
For some easy actions, maxwell GPU prefer not to use switch()
2016-10-31 13:22:00 +00:00
inline void append_0x01_4x4_S (u32 w0[4], u32 w1[4], u32 w2[4], u32 w3[4], const u32 offset)
{
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
const u32 tmp = 0x01 << ((offset & 3) * 8);
w0[0] |= (offset < 4) ? tmp : 0;
w0[1] |= ((offset >= 4) && (offset < 8)) ? tmp : 0;
w0[2] |= ((offset >= 8) && (offset < 12)) ? tmp : 0;
w0[3] |= ((offset >= 12) && (offset < 16)) ? tmp : 0;
w1[0] |= ((offset >= 16) && (offset < 20)) ? tmp : 0;
w1[1] |= ((offset >= 20) && (offset < 24)) ? tmp : 0;
w1[2] |= ((offset >= 24) && (offset < 28)) ? tmp : 0;
w1[3] |= ((offset >= 28) && (offset < 32)) ? tmp : 0;
w2[0] |= ((offset >= 32) && (offset < 36)) ? tmp : 0;
w2[1] |= ((offset >= 36) && (offset < 40)) ? tmp : 0;
w2[2] |= ((offset >= 40) && (offset < 44)) ? tmp : 0;
w2[3] |= ((offset >= 44) && (offset < 48)) ? tmp : 0;
w3[0] |= ((offset >= 48) && (offset < 52)) ? tmp : 0;
w3[1] |= ((offset >= 52) && (offset < 56)) ? tmp : 0;
w3[2] |= ((offset >= 56) && (offset < 60)) ? tmp : 0;
w3[3] |= (offset >= 60) ? tmp : 0;
For some easy actions, maxwell GPU prefer not to use switch()
2016-10-31 13:22:00 +00:00
}
Add missing function append_0x01_2x4_S()
2016-02-27 16:29:27 +00:00
For some easy actions, maxwell GPU prefer not to use switch()
2016-10-31 13:22:00 +00:00
inline void append_0x02_1x4_S (u32 w0[4], const u32 offset)
{
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
const u32 tmp = 0x02 << ((offset & 3) * 8);
Add missing function append_0x01_2x4_S()
2016-02-27 16:29:27 +00:00
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w0[0] |= (offset < 4) ? tmp : 0;
w0[1] |= ((offset >= 4) && (offset < 8)) ? tmp : 0;
w0[2] |= ((offset >= 8) && (offset < 12)) ? tmp : 0;
w0[3] |= (offset >= 12) ? tmp : 0;
Add missing function append_0x01_2x4_S()
2016-02-27 16:29:27 +00:00
}
For some easy actions, maxwell GPU prefer not to use switch()
2016-10-31 13:22:00 +00:00
inline void append_0x02_2x4_S (u32 w0[4], u32 w1[4], const u32 offset)
Added SIMD code for WPA/WPA2
2016-05-14 17:45:51 +00:00
{
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
const u32 tmp = 0x02 << ((offset & 3) * 8);
w0[0] |= (offset < 4) ? tmp : 0;
w0[1] |= ((offset >= 4) && (offset < 8)) ? tmp : 0;
w0[2] |= ((offset >= 8) && (offset < 12)) ? tmp : 0;
w0[3] |= ((offset >= 12) && (offset < 16)) ? tmp : 0;
w1[0] |= ((offset >= 16) && (offset < 20)) ? tmp : 0;
w1[1] |= ((offset >= 20) && (offset < 24)) ? tmp : 0;
w1[2] |= ((offset >= 24) && (offset < 28)) ? tmp : 0;
w1[3] |= (offset >= 28) ? tmp : 0;
For some easy actions, maxwell GPU prefer not to use switch()
2016-10-31 13:22:00 +00:00
}
Added SIMD code for WPA/WPA2
2016-05-14 17:45:51 +00:00
For some easy actions, maxwell GPU prefer not to use switch()
2016-10-31 13:22:00 +00:00
inline void append_0x02_3x4_S (u32 w0[4], u32 w1[4], u32 w2[4], const u32 offset)
{
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
const u32 tmp = 0x02 << ((offset & 3) * 8);
w0[0] |= (offset < 4) ? tmp : 0;
w0[1] |= ((offset >= 4) && (offset < 8)) ? tmp : 0;
w0[2] |= ((offset >= 8) && (offset < 12)) ? tmp : 0;
w0[3] |= ((offset >= 12) && (offset < 16)) ? tmp : 0;
w1[0] |= ((offset >= 16) && (offset < 20)) ? tmp : 0;
w1[1] |= ((offset >= 20) && (offset < 24)) ? tmp : 0;
w1[2] |= ((offset >= 24) && (offset < 28)) ? tmp : 0;
w1[3] |= ((offset >= 28) && (offset < 32)) ? tmp : 0;
w2[0] |= ((offset >= 32) && (offset < 36)) ? tmp : 0;
w2[1] |= ((offset >= 36) && (offset < 40)) ? tmp : 0;
w2[2] |= ((offset >= 40) && (offset < 44)) ? tmp : 0;
w2[3] |= (offset >= 44) ? tmp : 0;
For some easy actions, maxwell GPU prefer not to use switch()
2016-10-31 13:22:00 +00:00
}
Added SIMD code for WPA/WPA2
2016-05-14 17:45:51 +00:00
For some easy actions, maxwell GPU prefer not to use switch()
2016-10-31 13:22:00 +00:00
inline void append_0x02_4x4_S (u32 w0[4], u32 w1[4], u32 w2[4], u32 w3[4], const u32 offset)
{
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
const u32 tmp = 0x02 << ((offset & 3) * 8);
w0[0] |= (offset < 4) ? tmp : 0;
w0[1] |= ((offset >= 4) && (offset < 8)) ? tmp : 0;
w0[2] |= ((offset >= 8) && (offset < 12)) ? tmp : 0;
w0[3] |= ((offset >= 12) && (offset < 16)) ? tmp : 0;
w1[0] |= ((offset >= 16) && (offset < 20)) ? tmp : 0;
w1[1] |= ((offset >= 20) && (offset < 24)) ? tmp : 0;
w1[2] |= ((offset >= 24) && (offset < 28)) ? tmp : 0;
w1[3] |= ((offset >= 28) && (offset < 32)) ? tmp : 0;
w2[0] |= ((offset >= 32) && (offset < 36)) ? tmp : 0;
w2[1] |= ((offset >= 36) && (offset < 40)) ? tmp : 0;
w2[2] |= ((offset >= 40) && (offset < 44)) ? tmp : 0;
w2[3] |= ((offset >= 44) && (offset < 48)) ? tmp : 0;
w3[0] |= ((offset >= 48) && (offset < 52)) ? tmp : 0;
w3[1] |= ((offset >= 52) && (offset < 56)) ? tmp : 0;
w3[2] |= ((offset >= 56) && (offset < 60)) ? tmp : 0;
w3[3] |= (offset >= 60) ? tmp : 0;
For some easy actions, maxwell GPU prefer not to use switch()
2016-10-31 13:22:00 +00:00
}
Added SIMD code for WPA/WPA2
2016-05-14 17:45:51 +00:00
For some easy actions, maxwell GPU prefer not to use switch()
2016-10-31 13:22:00 +00:00
inline void append_0x80_1x4_S (u32 w0[4], const u32 offset)
{
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
const u32 tmp = 0x80 << ((offset & 3) * 8);
Added SIMD code for WPA/WPA2
2016-05-14 17:45:51 +00:00
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
w0[0] |= (offset < 4) ? tmp : 0;
w0[1] |= ((offset >= 4) && (offset < 8)) ? tmp : 0;
w0[2] |= ((offset >= 8) && (offset < 12)) ? tmp : 0;
w0[3] |= (offset >= 12) ? tmp : 0;
For some easy actions, maxwell GPU prefer not to use switch()
2016-10-31 13:22:00 +00:00
}
Added SIMD code for WPA/WPA2
2016-05-14 17:45:51 +00:00
For some easy actions, maxwell GPU prefer not to use switch()
2016-10-31 13:22:00 +00:00
inline void append_0x80_2x4_S (u32 w0[4], u32 w1[4], const u32 offset)
{
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
const u32 tmp = 0x80 << ((offset & 3) * 8);
w0[0] |= (offset < 4) ? tmp : 0;
w0[1] |= ((offset >= 4) && (offset < 8)) ? tmp : 0;
w0[2] |= ((offset >= 8) && (offset < 12)) ? tmp : 0;
w0[3] |= ((offset >= 12) && (offset < 16)) ? tmp : 0;
w1[0] |= ((offset >= 16) && (offset < 20)) ? tmp : 0;
w1[1] |= ((offset >= 20) && (offset < 24)) ? tmp : 0;
w1[2] |= ((offset >= 24) && (offset < 28)) ? tmp : 0;
w1[3] |= (offset >= 28) ? tmp : 0;
For some easy actions, maxwell GPU prefer not to use switch()
2016-10-31 13:22:00 +00:00
}
Added SIMD code for WPA/WPA2
2016-05-14 17:45:51 +00:00
For some easy actions, maxwell GPU prefer not to use switch()
2016-10-31 13:22:00 +00:00
inline void append_0x80_3x4_S (u32 w0[4], u32 w1[4], u32 w2[4], const u32 offset)
{
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
const u32 tmp = 0x80 << ((offset & 3) * 8);
w0[0] |= (offset < 4) ? tmp : 0;
w0[1] |= ((offset >= 4) && (offset < 8)) ? tmp : 0;
w0[2] |= ((offset >= 8) && (offset < 12)) ? tmp : 0;
w0[3] |= ((offset >= 12) && (offset < 16)) ? tmp : 0;
w1[0] |= ((offset >= 16) && (offset < 20)) ? tmp : 0;
w1[1] |= ((offset >= 20) && (offset < 24)) ? tmp : 0;
w1[2] |= ((offset >= 24) && (offset < 28)) ? tmp : 0;
w1[3] |= ((offset >= 28) && (offset < 32)) ? tmp : 0;
w2[0] |= ((offset >= 32) && (offset < 36)) ? tmp : 0;
w2[1] |= ((offset >= 36) && (offset < 40)) ? tmp : 0;
w2[2] |= ((offset >= 40) && (offset < 44)) ? tmp : 0;
w2[3] |= (offset >= 44) ? tmp : 0;
For some easy actions, maxwell GPU prefer not to use switch()
2016-10-31 13:22:00 +00:00
}
Added SIMD code for WPA/WPA2
2016-05-14 17:45:51 +00:00
For some easy actions, maxwell GPU prefer not to use switch()
2016-10-31 13:22:00 +00:00
inline void append_0x80_4x4_S (u32 w0[4], u32 w1[4], u32 w2[4], u32 w3[4], const u32 offset)
Added SIMD code for DCC2
2016-05-14 23:13:09 +00:00
{
Optimize 0x01, 0x02 and 0x80 handling in inc_common.c even more
2016-11-01 02:21:45 +00:00
const u32 tmp = 0x80 << ((offset & 3) * 8);
w0[0] |= (offset < 4) ? tmp : 0;
w0[1] |= ((offset >= 4) && (offset < 8)) ? tmp : 0;
w0[2] |= ((offset >= 8) && (offset < 12)) ? tmp : 0;
w0[3] |= ((offset >= 12) && (offset < 16)) ? tmp : 0;
w1[0] |= ((offset >= 16) && (offset < 20)) ? tmp : 0;
w1[1] |= ((offset >= 20) && (offset < 24)) ? tmp : 0;
w1[2] |= ((offset >= 24) && (offset < 28)) ? tmp : 0;
w1[3] |= ((offset >= 28) && (offset < 32)) ? tmp : 0;
w2[0] |= ((offset >= 32) && (offset < 36)) ? tmp : 0;
w2[1] |= ((offset >= 36) && (offset < 40)) ? tmp : 0;
w2[2] |= ((offset >= 40) && (offset < 44)) ? tmp : 0;
w2[3] |= ((offset >= 44) && (offset < 48)) ? tmp : 0;
w3[0] |= ((offset >= 48) && (offset < 52)) ? tmp : 0;
w3[1] |= ((offset >= 52) && (offset < 56)) ? tmp : 0;
w3[2] |= ((offset >= 56) && (offset < 60)) ? tmp : 0;
w3[3] |= (offset >= 60) ? tmp : 0;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
}
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
- Added inline declaration to functions from simd.c, common.c, rp.c and types_ocl.c to increase performance - Dropped static declaration from functions in all kernel to achieve OpenCL 1.1 compatibility - Added -cl-std=CL1.1 to all kernel build options - Created environment variable to inform NVidia OpenCL runtime to not create its own kernel cache - Created environment variable to inform pocl OpenCL runtime to not create its own kernel cache
2016-05-01 21:15:26 +00:00
inline void truncate_block_S (u32 w[4], const u32 len)
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
{
switch (len)
{
case 0: w[0] &= 0;
w[1] &= 0;
w[2] &= 0;
w[3] &= 0;
break;
case 1: w[0] &= 0x000000FF;
w[1] &= 0;
w[2] &= 0;
w[3] &= 0;
break;
case 2: w[0] &= 0x0000FFFF;
w[1] &= 0;
w[2] &= 0;
w[3] &= 0;
break;
case 3: w[0] &= 0x00FFFFFF;
w[1] &= 0;
w[2] &= 0;
w[3] &= 0;
break;
case 4: w[1] &= 0;
w[2] &= 0;
w[3] &= 0;
break;
case 5: w[1] &= 0x000000FF;
w[2] &= 0;
w[3] &= 0;
break;
case 6: w[1] &= 0x0000FFFF;
w[2] &= 0;
w[3] &= 0;
break;
case 7: w[1] &= 0x00FFFFFF;
w[2] &= 0;
w[3] &= 0;
break;
case 8: w[2] &= 0;
w[3] &= 0;
break;
case 9: w[2] &= 0x000000FF;
w[3] &= 0;
break;
case 10: w[2] &= 0x0000FFFF;
w[3] &= 0;
break;
case 11: w[2] &= 0x00FFFFFF;
w[3] &= 0;
break;
case 12: w[3] &= 0;
break;
case 13: w[3] &= 0x000000FF;
break;
case 14: w[3] &= 0x0000FFFF;
break;
case 15: w[3] &= 0x00FFFFFF;
break;
}
}
- Added inline declaration to functions from simd.c, common.c, rp.c and types_ocl.c to increase performance - Dropped static declaration from functions in all kernel to achieve OpenCL 1.1 compatibility - Added -cl-std=CL1.1 to all kernel build options - Created environment variable to inform NVidia OpenCL runtime to not create its own kernel cache - Created environment variable to inform pocl OpenCL runtime to not create its own kernel cache
2016-05-01 21:15:26 +00:00
inline void make_unicode_S (const u32 in[4], u32 out1[4], u32 out2[4])
Fix append_* function calls
2015-12-15 12:42:37 +00:00
{
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
#ifdef IS_NV
out2[3] = __byte_perm_S (in[3], 0, 0x7372);
out2[2] = __byte_perm_S (in[3], 0, 0x7170);
out2[1] = __byte_perm_S (in[2], 0, 0x7372);
out2[0] = __byte_perm_S (in[2], 0, 0x7170);
out1[3] = __byte_perm_S (in[1], 0, 0x7372);
out1[2] = __byte_perm_S (in[1], 0, 0x7170);
out1[1] = __byte_perm_S (in[0], 0, 0x7372);
out1[0] = __byte_perm_S (in[0], 0, 0x7170);
#endif
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
#if defined IS_AMD || defined IS_GENERIC
out2[3] = ((in[3] >> 8) & 0x00FF0000) | ((in[3] >> 16) & 0x000000FF);
out2[2] = ((in[3] << 8) & 0x00FF0000) | ((in[3] >> 0) & 0x000000FF);
out2[1] = ((in[2] >> 8) & 0x00FF0000) | ((in[2] >> 16) & 0x000000FF);
out2[0] = ((in[2] << 8) & 0x00FF0000) | ((in[2] >> 0) & 0x000000FF);
out1[3] = ((in[1] >> 8) & 0x00FF0000) | ((in[1] >> 16) & 0x000000FF);
out1[2] = ((in[1] << 8) & 0x00FF0000) | ((in[1] >> 0) & 0x000000FF);
out1[1] = ((in[0] >> 8) & 0x00FF0000) | ((in[0] >> 16) & 0x000000FF);
out1[0] = ((in[0] << 8) & 0x00FF0000) | ((in[0] >> 0) & 0x000000FF);
#endif
}
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
- Added inline declaration to functions from simd.c, common.c, rp.c and types_ocl.c to increase performance - Dropped static declaration from functions in all kernel to achieve OpenCL 1.1 compatibility - Added -cl-std=CL1.1 to all kernel build options - Created environment variable to inform NVidia OpenCL runtime to not create its own kernel cache - Created environment variable to inform pocl OpenCL runtime to not create its own kernel cache
2016-05-01 21:15:26 +00:00
inline void undo_unicode_S (const u32 in1[4], const u32 in2[4], u32 out[4])
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
{
#ifdef IS_NV
out[0] = __byte_perm_S (in1[0], in1[1], 0x6420);
out[1] = __byte_perm_S (in1[2], in1[3], 0x6420);
out[2] = __byte_perm_S (in2[0], in2[1], 0x6420);
out[3] = __byte_perm_S (in2[2], in2[3], 0x6420);
#endif
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
#if defined IS_AMD || defined IS_GENERIC
out[0] = ((in1[0] & 0x000000ff) >> 0) | ((in1[0] & 0x00ff0000) >> 8)
| ((in1[1] & 0x000000ff) << 16) | ((in1[1] & 0x00ff0000) << 8);
out[1] = ((in1[2] & 0x000000ff) >> 0) | ((in1[2] & 0x00ff0000) >> 8)
| ((in1[3] & 0x000000ff) << 16) | ((in1[3] & 0x00ff0000) << 8);
out[2] = ((in2[0] & 0x000000ff) >> 0) | ((in2[0] & 0x00ff0000) >> 8)
| ((in2[1] & 0x000000ff) << 16) | ((in2[1] & 0x00ff0000) << 8);
out[3] = ((in2[2] & 0x000000ff) >> 0) | ((in2[2] & 0x00ff0000) >> 8)
| ((in2[3] & 0x000000ff) << 16) | ((in2[3] & 0x00ff0000) << 8);
#endif
}
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
- Added inline declaration to functions from simd.c, common.c, rp.c and types_ocl.c to increase performance - Dropped static declaration from functions in all kernel to achieve OpenCL 1.1 compatibility - Added -cl-std=CL1.1 to all kernel build options - Created environment variable to inform NVidia OpenCL runtime to not create its own kernel cache - Created environment variable to inform pocl OpenCL runtime to not create its own kernel cache
2016-05-01 21:15:26 +00:00
inline void switch_buffer_by_offset_le_S (u32 w0[4], u32 w1[4], u32 w2[4], u32 w3[4], const u32 offset)
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
{
#if defined IS_AMD || defined IS_GENERIC
const int offset_mod_4 = offset & 3;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
const int offset_minus_4 = 4 - offset;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
switch (offset / 4)
{
case 0:
w3[2] = amd_bytealign_S ( 0, w3[1], offset_minus_4);
w3[1] = amd_bytealign_S (w3[1], w3[0], offset_minus_4);
w3[0] = amd_bytealign_S (w3[0], w2[3], offset_minus_4);
w2[3] = amd_bytealign_S (w2[3], w2[2], offset_minus_4);
w2[2] = amd_bytealign_S (w2[2], w2[1], offset_minus_4);
w2[1] = amd_bytealign_S (w2[1], w2[0], offset_minus_4);
w2[0] = amd_bytealign_S (w2[0], w1[3], offset_minus_4);
w1[3] = amd_bytealign_S (w1[3], w1[2], offset_minus_4);
w1[2] = amd_bytealign_S (w1[2], w1[1], offset_minus_4);
w1[1] = amd_bytealign_S (w1[1], w1[0], offset_minus_4);
w1[0] = amd_bytealign_S (w1[0], w0[3], offset_minus_4);
w0[3] = amd_bytealign_S (w0[3], w0[2], offset_minus_4);
w0[2] = amd_bytealign_S (w0[2], w0[1], offset_minus_4);
w0[1] = amd_bytealign_S (w0[1], w0[0], offset_minus_4);
w0[0] = amd_bytealign_S (w0[0], 0, offset_minus_4);
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
if (offset_mod_4 == 0)
{
w0[0] = w0[1];
w0[1] = w0[2];
w0[2] = w0[3];
w0[3] = w1[0];
w1[0] = w1[1];
w1[1] = w1[2];
w1[2] = w1[3];
w1[3] = w2[0];
w2[0] = w2[1];
w2[1] = w2[2];
w2[2] = w2[3];
w2[3] = w3[0];
w3[0] = w3[1];
w3[1] = w3[2];
w3[2] = 0;
}
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
case 1:
w3[2] = amd_bytealign_S ( 0, w3[0], offset_minus_4);
w3[1] = amd_bytealign_S (w3[0], w2[3], offset_minus_4);
w3[0] = amd_bytealign_S (w2[3], w2[2], offset_minus_4);
w2[3] = amd_bytealign_S (w2[2], w2[1], offset_minus_4);
w2[2] = amd_bytealign_S (w2[1], w2[0], offset_minus_4);
w2[1] = amd_bytealign_S (w2[0], w1[3], offset_minus_4);
w2[0] = amd_bytealign_S (w1[3], w1[2], offset_minus_4);
w1[3] = amd_bytealign_S (w1[2], w1[1], offset_minus_4);
w1[2] = amd_bytealign_S (w1[1], w1[0], offset_minus_4);
w1[1] = amd_bytealign_S (w1[0], w0[3], offset_minus_4);
w1[0] = amd_bytealign_S (w0[3], w0[2], offset_minus_4);
w0[3] = amd_bytealign_S (w0[2], w0[1], offset_minus_4);
w0[2] = amd_bytealign_S (w0[1], w0[0], offset_minus_4);
w0[1] = amd_bytealign_S (w0[0], 0, offset_minus_4);
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
if (offset_mod_4 == 0)
{
w0[1] = w0[2];
w0[2] = w0[3];
w0[3] = w1[0];
w1[0] = w1[1];
w1[1] = w1[2];
w1[2] = w1[3];
w1[3] = w2[0];
w2[0] = w2[1];
w2[1] = w2[2];
w2[2] = w2[3];
w2[3] = w3[0];
w3[0] = w3[1];
w3[1] = w3[2];
w3[2] = 0;
}
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
case 2:
w3[2] = amd_bytealign_S ( 0, w2[3], offset_minus_4);
w3[1] = amd_bytealign_S (w2[3], w2[2], offset_minus_4);
w3[0] = amd_bytealign_S (w2[2], w2[1], offset_minus_4);
w2[3] = amd_bytealign_S (w2[1], w2[0], offset_minus_4);
w2[2] = amd_bytealign_S (w2[0], w1[3], offset_minus_4);
w2[1] = amd_bytealign_S (w1[3], w1[2], offset_minus_4);
w2[0] = amd_bytealign_S (w1[2], w1[1], offset_minus_4);
w1[3] = amd_bytealign_S (w1[1], w1[0], offset_minus_4);
w1[2] = amd_bytealign_S (w1[0], w0[3], offset_minus_4);
w1[1] = amd_bytealign_S (w0[3], w0[2], offset_minus_4);
w1[0] = amd_bytealign_S (w0[2], w0[1], offset_minus_4);
w0[3] = amd_bytealign_S (w0[1], w0[0], offset_minus_4);
w0[2] = amd_bytealign_S (w0[0], 0, offset_minus_4);
w0[1] = 0;
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
if (offset_mod_4 == 0)
{
w0[2] = w0[3];
w0[3] = w1[0];
w1[0] = w1[1];
w1[1] = w1[2];
w1[2] = w1[3];
w1[3] = w2[0];
w2[0] = w2[1];
w2[1] = w2[2];
w2[2] = w2[3];
w2[3] = w3[0];
w3[0] = w3[1];
w3[1] = w3[2];
w3[2] = 0;
}
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Fix append_* function calls
2015-12-15 12:42:37 +00:00
break;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
case 3:
w3[2] = amd_bytealign_S ( 0, w2[2], offset_minus_4);
w3[1] = amd_bytealign_S (w2[2], w2[1], offset_minus_4);
w3[0] = amd_bytealign_S (w2[1], w2[0], offset_minus_4);
w2[3] = amd_bytealign_S (w2[0], w1[3], offset_minus_4);
w2[2] = amd_bytealign_S (w1[3], w1[2], offset_minus_4);
w2[1] = amd_bytealign_S (w1[2], w1[1], offset_minus_4);
w2[0] = amd_bytealign_S (w1[1], w1[0], offset_minus_4);
w1[3] = amd_bytealign_S (w1[0], w0[3], offset_minus_4);
w1[2] = amd_bytealign_S (w0[3], w0[2], offset_minus_4);
w1[1] = amd_bytealign_S (w0[2], w0[1], offset_minus_4);
w1[0] = amd_bytealign_S (w0[1], w0[0], offset_minus_4);
w0[3] = amd_bytealign_S (w0[0], 0, offset_minus_4);
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
if (offset_mod_4 == 0)
{
w0[3] = w1[0];
w1[0] = w1[1];
w1[1] = w1[2];
w1[2] = w1[3];
w1[3] = w2[0];
w2[0] = w2[1];
w2[1] = w2[2];
w2[2] = w2[3];
w2[3] = w3[0];
w3[0] = w3[1];
w3[1] = w3[2];
w3[2] = 0;
}
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Fix append_* function calls
2015-12-15 12:42:37 +00:00
break;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
case 4:
w3[2] = amd_bytealign_S ( 0, w2[1], offset_minus_4);
w3[1] = amd_bytealign_S (w2[1], w2[0], offset_minus_4);
w3[0] = amd_bytealign_S (w2[0], w1[3], offset_minus_4);
w2[3] = amd_bytealign_S (w1[3], w1[2], offset_minus_4);
w2[2] = amd_bytealign_S (w1[2], w1[1], offset_minus_4);
w2[1] = amd_bytealign_S (w1[1], w1[0], offset_minus_4);
w2[0] = amd_bytealign_S (w1[0], w0[3], offset_minus_4);
w1[3] = amd_bytealign_S (w0[3], w0[2], offset_minus_4);
w1[2] = amd_bytealign_S (w0[2], w0[1], offset_minus_4);
w1[1] = amd_bytealign_S (w0[1], w0[0], offset_minus_4);
w1[0] = amd_bytealign_S (w0[0], 0, offset_minus_4);
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
if (offset_mod_4 == 0)
{
w1[0] = w1[1];
w1[1] = w1[2];
w1[2] = w1[3];
w1[3] = w2[0];
w2[0] = w2[1];
w2[1] = w2[2];
w2[2] = w2[3];
w2[3] = w3[0];
w3[0] = w3[1];
w3[1] = w3[2];
w3[2] = 0;
}
Fix append_* function calls
2015-12-15 12:42:37 +00:00
break;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
case 5:
w3[2] = amd_bytealign_S ( 0, w2[0], offset_minus_4);
w3[1] = amd_bytealign_S (w2[0], w1[3], offset_minus_4);
w3[0] = amd_bytealign_S (w1[3], w1[2], offset_minus_4);
w2[3] = amd_bytealign_S (w1[2], w1[1], offset_minus_4);
w2[2] = amd_bytealign_S (w1[1], w1[0], offset_minus_4);
w2[1] = amd_bytealign_S (w1[0], w0[3], offset_minus_4);
w2[0] = amd_bytealign_S (w0[3], w0[2], offset_minus_4);
w1[3] = amd_bytealign_S (w0[2], w0[1], offset_minus_4);
w1[2] = amd_bytealign_S (w0[1], w0[0], offset_minus_4);
w1[1] = amd_bytealign_S (w0[0], 0, offset_minus_4);
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
if (offset_mod_4 == 0)
{
w1[1] = w1[2];
w1[2] = w1[3];
w1[3] = w2[0];
w2[0] = w2[1];
w2[1] = w2[2];
w2[2] = w2[3];
w2[3] = w3[0];
w3[0] = w3[1];
w3[1] = w3[2];
w3[2] = 0;
}
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Fix append_* function calls
2015-12-15 12:42:37 +00:00
break;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
case 6:
w3[2] = amd_bytealign_S ( 0, w1[3], offset_minus_4);
w3[1] = amd_bytealign_S (w1[3], w1[2], offset_minus_4);
w3[0] = amd_bytealign_S (w1[2], w1[1], offset_minus_4);
w2[3] = amd_bytealign_S (w1[1], w1[0], offset_minus_4);
w2[2] = amd_bytealign_S (w1[0], w0[3], offset_minus_4);
w2[1] = amd_bytealign_S (w0[3], w0[2], offset_minus_4);
w2[0] = amd_bytealign_S (w0[2], w0[1], offset_minus_4);
w1[3] = amd_bytealign_S (w0[1], w0[0], offset_minus_4);
w1[2] = amd_bytealign_S (w0[0], 0, offset_minus_4);
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
if (offset_mod_4 == 0)
{
w1[2] = w1[3];
w1[3] = w2[0];
w2[0] = w2[1];
w2[1] = w2[2];
w2[2] = w2[3];
w2[3] = w3[0];
w3[0] = w3[1];
w3[1] = w3[2];
w3[2] = 0;
}
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Fix append_* function calls
2015-12-15 12:42:37 +00:00
break;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
case 7:
w3[2] = amd_bytealign_S ( 0, w1[2], offset_minus_4);
w3[1] = amd_bytealign_S (w1[2], w1[1], offset_minus_4);
w3[0] = amd_bytealign_S (w1[1], w1[0], offset_minus_4);
w2[3] = amd_bytealign_S (w1[0], w0[3], offset_minus_4);
w2[2] = amd_bytealign_S (w0[3], w0[2], offset_minus_4);
w2[1] = amd_bytealign_S (w0[2], w0[1], offset_minus_4);
w2[0] = amd_bytealign_S (w0[1], w0[0], offset_minus_4);
w1[3] = amd_bytealign_S (w0[0], 0, offset_minus_4);
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
if (offset_mod_4 == 0)
{
w1[3] = w2[0];
w2[0] = w2[1];
w2[1] = w2[2];
w2[2] = w2[3];
w2[3] = w3[0];
w3[0] = w3[1];
w3[1] = w3[2];
w3[2] = 0;
}
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Fix append_* function calls
2015-12-15 12:42:37 +00:00
break;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
case 8:
w3[2] = amd_bytealign_S ( 0, w1[1], offset_minus_4);
w3[1] = amd_bytealign_S (w1[1], w1[0], offset_minus_4);
w3[0] = amd_bytealign_S (w1[0], w0[3], offset_minus_4);
w2[3] = amd_bytealign_S (w0[3], w0[2], offset_minus_4);
w2[2] = amd_bytealign_S (w0[2], w0[1], offset_minus_4);
w2[1] = amd_bytealign_S (w0[1], w0[0], offset_minus_4);
w2[0] = amd_bytealign_S (w0[0], 0, offset_minus_4);
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
if (offset_mod_4 == 0)
{
w2[0] = w2[1];
w2[1] = w2[2];
w2[2] = w2[3];
w2[3] = w3[0];
w3[0] = w3[1];
w3[1] = w3[2];
w3[2] = 0;
}
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Fix append_* function calls
2015-12-15 12:42:37 +00:00
break;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
case 9:
w3[2] = amd_bytealign_S ( 0, w1[0], offset_minus_4);
w3[1] = amd_bytealign_S (w1[0], w0[3], offset_minus_4);
w3[0] = amd_bytealign_S (w0[3], w0[2], offset_minus_4);
w2[3] = amd_bytealign_S (w0[2], w0[1], offset_minus_4);
w2[2] = amd_bytealign_S (w0[1], w0[0], offset_minus_4);
w2[1] = amd_bytealign_S (w0[0], 0, offset_minus_4);
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
if (offset_mod_4 == 0)
{
w2[1] = w2[2];
w2[2] = w2[3];
w2[3] = w3[0];
w3[0] = w3[1];
w3[1] = w3[2];
w3[2] = 0;
}
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Fix append_* function calls
2015-12-15 12:42:37 +00:00
break;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
case 10:
w3[2] = amd_bytealign_S ( 0, w0[3], offset_minus_4);
w3[1] = amd_bytealign_S (w0[3], w0[2], offset_minus_4);
w3[0] = amd_bytealign_S (w0[2], w0[1], offset_minus_4);
w2[3] = amd_bytealign_S (w0[1], w0[0], offset_minus_4);
w2[2] = amd_bytealign_S (w0[0], 0, offset_minus_4);
w2[1] = 0;
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
if (offset_mod_4 == 0)
{
w2[2] = w2[3];
w2[3] = w3[0];
w3[0] = w3[1];
w3[1] = w3[2];
w3[2] = 0;
}
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Fix append_* function calls
2015-12-15 12:42:37 +00:00
break;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
case 11:
w3[2] = amd_bytealign_S ( 0, w0[2], offset_minus_4);
w3[1] = amd_bytealign_S (w0[2], w0[1], offset_minus_4);
w3[0] = amd_bytealign_S (w0[1], w0[0], offset_minus_4);
w2[3] = amd_bytealign_S (w0[0], 0, offset_minus_4);
w2[2] = 0;
w2[1] = 0;
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
if (offset_mod_4 == 0)
{
w2[3] = w3[0];
w3[0] = w3[1];
w3[1] = w3[2];
w3[2] = 0;
}
Fix append_* function calls
2015-12-15 12:42:37 +00:00
break;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
case 12:
w3[2] = amd_bytealign_S ( 0, w0[1], offset_minus_4);
w3[1] = amd_bytealign_S (w0[1], w0[0], offset_minus_4);
w3[0] = amd_bytealign_S (w0[0], 0, offset_minus_4);
w2[3] = 0;
w2[2] = 0;
w2[1] = 0;
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
if (offset_mod_4 == 0)
{
w3[0] = w3[1];
w3[1] = w3[2];
w3[2] = 0;
}
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
case 13:
w3[2] = amd_bytealign_S ( 0, w0[0], offset_minus_4);
w3[1] = amd_bytealign_S (w0[0], 0, offset_minus_4);
w3[0] = 0;
w2[3] = 0;
w2[2] = 0;
w2[1] = 0;
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
if (offset_mod_4 == 0)
{
w3[1] = w3[2];
w3[2] = 0;
}
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
}
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
#endif
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
#ifdef IS_NV
const int offset_minus_4 = 4 - (offset % 4);
const int selector = (0x76543210 >> (offset_minus_4 * 4)) & 0xffff;
switch (offset / 4)
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
{
case 0:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm_S (w3[0], w3[1], selector);
w3[0] = __byte_perm_S (w2[3], w3[0], selector);
w2[3] = __byte_perm_S (w2[2], w2[3], selector);
w2[2] = __byte_perm_S (w2[1], w2[2], selector);
w2[1] = __byte_perm_S (w2[0], w2[1], selector);
w2[0] = __byte_perm_S (w1[3], w2[0], selector);
w1[3] = __byte_perm_S (w1[2], w1[3], selector);
w1[2] = __byte_perm_S (w1[1], w1[2], selector);
w1[1] = __byte_perm_S (w1[0], w1[1], selector);
w1[0] = __byte_perm_S (w0[3], w1[0], selector);
w0[3] = __byte_perm_S (w0[2], w0[3], selector);
w0[2] = __byte_perm_S (w0[1], w0[2], selector);
w0[1] = __byte_perm_S (w0[0], w0[1], selector);
w0[0] = __byte_perm_S ( 0, w0[0], selector);
Fix append_* function calls
2015-12-15 12:42:37 +00:00
break;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 1:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm_S (w2[3], w3[0], selector);
w3[0] = __byte_perm_S (w2[2], w2[3], selector);
w2[3] = __byte_perm_S (w2[1], w2[2], selector);
w2[2] = __byte_perm_S (w2[0], w2[1], selector);
w2[1] = __byte_perm_S (w1[3], w2[0], selector);
w2[0] = __byte_perm_S (w1[2], w1[3], selector);
w1[3] = __byte_perm_S (w1[1], w1[2], selector);
w1[2] = __byte_perm_S (w1[0], w1[1], selector);
w1[1] = __byte_perm_S (w0[3], w1[0], selector);
w1[0] = __byte_perm_S (w0[2], w0[3], selector);
w0[3] = __byte_perm_S (w0[1], w0[2], selector);
w0[2] = __byte_perm_S (w0[0], w0[1], selector);
w0[1] = __byte_perm_S ( 0, w0[0], selector);
w0[0] = 0;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
break;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 2:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm_S (w2[2], w2[3], selector);
w3[0] = __byte_perm_S (w2[1], w2[2], selector);
w2[3] = __byte_perm_S (w2[0], w2[1], selector);
w2[2] = __byte_perm_S (w1[3], w2[0], selector);
w2[1] = __byte_perm_S (w1[2], w1[3], selector);
w2[0] = __byte_perm_S (w1[1], w1[2], selector);
w1[3] = __byte_perm_S (w1[0], w1[1], selector);
w1[2] = __byte_perm_S (w0[3], w1[0], selector);
w1[1] = __byte_perm_S (w0[2], w0[3], selector);
w1[0] = __byte_perm_S (w0[1], w0[2], selector);
w0[3] = __byte_perm_S (w0[0], w0[1], selector);
w0[2] = __byte_perm_S ( 0, w0[0], selector);
w0[1] = 0;
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 3:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm_S (w2[1], w2[2], selector);
w3[0] = __byte_perm_S (w2[0], w2[1], selector);
w2[3] = __byte_perm_S (w1[3], w2[0], selector);
w2[2] = __byte_perm_S (w1[2], w1[3], selector);
w2[1] = __byte_perm_S (w1[1], w1[2], selector);
w2[0] = __byte_perm_S (w1[0], w1[1], selector);
w1[3] = __byte_perm_S (w0[3], w1[0], selector);
w1[2] = __byte_perm_S (w0[2], w0[3], selector);
w1[1] = __byte_perm_S (w0[1], w0[2], selector);
w1[0] = __byte_perm_S (w0[0], w0[1], selector);
w0[3] = __byte_perm_S ( 0, w0[0], selector);
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
break;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 4:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm_S (w2[0], w2[1], selector);
w3[0] = __byte_perm_S (w1[3], w2[0], selector);
w2[3] = __byte_perm_S (w1[2], w1[3], selector);
w2[2] = __byte_perm_S (w1[1], w1[2], selector);
w2[1] = __byte_perm_S (w1[0], w1[1], selector);
w2[0] = __byte_perm_S (w0[3], w1[0], selector);
w1[3] = __byte_perm_S (w0[2], w0[3], selector);
w1[2] = __byte_perm_S (w0[1], w0[2], selector);
w1[1] = __byte_perm_S (w0[0], w0[1], selector);
w1[0] = __byte_perm_S ( 0, w0[0], selector);
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
break;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 5:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm_S (w1[3], w2[0], selector);
w3[0] = __byte_perm_S (w1[2], w1[3], selector);
w2[3] = __byte_perm_S (w1[1], w1[2], selector);
w2[2] = __byte_perm_S (w1[0], w1[1], selector);
w2[1] = __byte_perm_S (w0[3], w1[0], selector);
w2[0] = __byte_perm_S (w0[2], w0[3], selector);
w1[3] = __byte_perm_S (w0[1], w0[2], selector);
w1[2] = __byte_perm_S (w0[0], w0[1], selector);
w1[1] = __byte_perm_S ( 0, w0[0], selector);
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 6:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm_S (w1[2], w1[3], selector);
w3[0] = __byte_perm_S (w1[1], w1[2], selector);
w2[3] = __byte_perm_S (w1[0], w1[1], selector);
w2[2] = __byte_perm_S (w0[3], w1[0], selector);
w2[1] = __byte_perm_S (w0[2], w0[3], selector);
w2[0] = __byte_perm_S (w0[1], w0[2], selector);
w1[3] = __byte_perm_S (w0[0], w0[1], selector);
w1[2] = __byte_perm_S ( 0, w0[0], selector);
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
break;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 7:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm_S (w1[1], w1[2], selector);
w3[0] = __byte_perm_S (w1[0], w1[1], selector);
w2[3] = __byte_perm_S (w0[3], w1[0], selector);
w2[2] = __byte_perm_S (w0[2], w0[3], selector);
w2[1] = __byte_perm_S (w0[1], w0[2], selector);
w2[0] = __byte_perm_S (w0[0], w0[1], selector);
w1[3] = __byte_perm_S ( 0, w0[0], selector);
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
break;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 8:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm_S (w1[0], w1[1], selector);
w3[0] = __byte_perm_S (w0[3], w1[0], selector);
w2[3] = __byte_perm_S (w0[2], w0[3], selector);
w2[2] = __byte_perm_S (w0[1], w0[2], selector);
w2[1] = __byte_perm_S (w0[0], w0[1], selector);
w2[0] = __byte_perm_S ( 0, w0[0], selector);
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 9:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm_S (w0[3], w1[0], selector);
w3[0] = __byte_perm_S (w0[2], w0[3], selector);
w2[3] = __byte_perm_S (w0[1], w0[2], selector);
w2[2] = __byte_perm_S (w0[0], w0[1], selector);
w2[1] = __byte_perm_S ( 0, w0[0], selector);
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
break;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 10:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm_S (w0[2], w0[3], selector);
w3[0] = __byte_perm_S (w0[1], w0[2], selector);
w2[3] = __byte_perm_S (w0[0], w0[1], selector);
w2[2] = __byte_perm_S ( 0, w0[0], selector);
w2[1] = 0;
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
break;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 11:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm_S (w0[1], w0[2], selector);
w3[0] = __byte_perm_S (w0[0], w0[1], selector);
w2[3] = __byte_perm_S ( 0, w0[0], selector);
w2[2] = 0;
w2[1] = 0;
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 12:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm_S (w0[0], w0[1], selector);
w3[0] = __byte_perm_S ( 0, w0[0], selector);
w2[3] = 0;
w2[2] = 0;
w2[1] = 0;
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Fix append_* function calls
2015-12-15 12:42:37 +00:00
break;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
case 13:
w3[1] = __byte_perm_S ( 0, w0[0], selector);
w3[0] = 0;
w2[3] = 0;
w2[2] = 0;
w2[1] = 0;
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
break;
}
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
#endif
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
}
- Added inline declaration to functions from simd.c, common.c, rp.c and types_ocl.c to increase performance - Dropped static declaration from functions in all kernel to achieve OpenCL 1.1 compatibility - Added -cl-std=CL1.1 to all kernel build options - Created environment variable to inform NVidia OpenCL runtime to not create its own kernel cache - Created environment variable to inform pocl OpenCL runtime to not create its own kernel cache
2016-05-01 21:15:26 +00:00
inline void switch_buffer_by_offset_be_S (u32 w0[4], u32 w1[4], u32 w2[4], u32 w3[4], const u32 offset)
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
{
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
#if defined IS_AMD || defined IS_GENERIC
switch (offset / 4)
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
{
case 0:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign_S (w3[1], 0, offset);
w3[1] = amd_bytealign_S (w3[0], w3[1], offset);
w3[0] = amd_bytealign_S (w2[3], w3[0], offset);
w2[3] = amd_bytealign_S (w2[2], w2[3], offset);
w2[2] = amd_bytealign_S (w2[1], w2[2], offset);
w2[1] = amd_bytealign_S (w2[0], w2[1], offset);
w2[0] = amd_bytealign_S (w1[3], w2[0], offset);
w1[3] = amd_bytealign_S (w1[2], w1[3], offset);
w1[2] = amd_bytealign_S (w1[1], w1[2], offset);
w1[1] = amd_bytealign_S (w1[0], w1[1], offset);
w1[0] = amd_bytealign_S (w0[3], w1[0], offset);
w0[3] = amd_bytealign_S (w0[2], w0[3], offset);
w0[2] = amd_bytealign_S (w0[1], w0[2], offset);
w0[1] = amd_bytealign_S (w0[0], w0[1], offset);
w0[0] = amd_bytealign_S ( 0, w0[0], offset);
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
break;
case 1:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign_S (w3[0], 0, offset);
w3[1] = amd_bytealign_S (w2[3], w3[0], offset);
w3[0] = amd_bytealign_S (w2[2], w2[3], offset);
w2[3] = amd_bytealign_S (w2[1], w2[2], offset);
w2[2] = amd_bytealign_S (w2[0], w2[1], offset);
w2[1] = amd_bytealign_S (w1[3], w2[0], offset);
w2[0] = amd_bytealign_S (w1[2], w1[3], offset);
w1[3] = amd_bytealign_S (w1[1], w1[2], offset);
w1[2] = amd_bytealign_S (w1[0], w1[1], offset);
w1[1] = amd_bytealign_S (w0[3], w1[0], offset);
w1[0] = amd_bytealign_S (w0[2], w0[3], offset);
w0[3] = amd_bytealign_S (w0[1], w0[2], offset);
w0[2] = amd_bytealign_S (w0[0], w0[1], offset);
w0[1] = amd_bytealign_S ( 0, w0[0], offset);
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 2:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign_S (w2[3], 0, offset);
w3[1] = amd_bytealign_S (w2[2], w2[3], offset);
w3[0] = amd_bytealign_S (w2[1], w2[2], offset);
w2[3] = amd_bytealign_S (w2[0], w2[1], offset);
w2[2] = amd_bytealign_S (w1[3], w2[0], offset);
w2[1] = amd_bytealign_S (w1[2], w1[3], offset);
w2[0] = amd_bytealign_S (w1[1], w1[2], offset);
w1[3] = amd_bytealign_S (w1[0], w1[1], offset);
w1[2] = amd_bytealign_S (w0[3], w1[0], offset);
w1[1] = amd_bytealign_S (w0[2], w0[3], offset);
w1[0] = amd_bytealign_S (w0[1], w0[2], offset);
w0[3] = amd_bytealign_S (w0[0], w0[1], offset);
w0[2] = amd_bytealign_S ( 0, w0[0], offset);
w0[1] = 0;
w0[0] = 0;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
break;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 3:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign_S (w2[2], 0, offset);
w3[1] = amd_bytealign_S (w2[1], w2[2], offset);
w3[0] = amd_bytealign_S (w2[0], w2[1], offset);
w2[3] = amd_bytealign_S (w1[3], w2[0], offset);
w2[2] = amd_bytealign_S (w1[2], w1[3], offset);
w2[1] = amd_bytealign_S (w1[1], w1[2], offset);
w2[0] = amd_bytealign_S (w1[0], w1[1], offset);
w1[3] = amd_bytealign_S (w0[3], w1[0], offset);
w1[2] = amd_bytealign_S (w0[2], w0[3], offset);
w1[1] = amd_bytealign_S (w0[1], w0[2], offset);
w1[0] = amd_bytealign_S (w0[0], w0[1], offset);
w0[3] = amd_bytealign_S ( 0, w0[0], offset);
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 4:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign_S (w2[1], 0, offset);
w3[1] = amd_bytealign_S (w2[0], w2[1], offset);
w3[0] = amd_bytealign_S (w1[3], w2[0], offset);
w2[3] = amd_bytealign_S (w1[2], w1[3], offset);
w2[2] = amd_bytealign_S (w1[1], w1[2], offset);
w2[1] = amd_bytealign_S (w1[0], w1[1], offset);
w2[0] = amd_bytealign_S (w0[3], w1[0], offset);
w1[3] = amd_bytealign_S (w0[2], w0[3], offset);
w1[2] = amd_bytealign_S (w0[1], w0[2], offset);
w1[1] = amd_bytealign_S (w0[0], w0[1], offset);
w1[0] = amd_bytealign_S ( 0, w0[0], offset);
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
break;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 5:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign_S (w2[0], 0, offset);
w3[1] = amd_bytealign_S (w1[3], w2[0], offset);
w3[0] = amd_bytealign_S (w1[2], w1[3], offset);
w2[3] = amd_bytealign_S (w1[1], w1[2], offset);
w2[2] = amd_bytealign_S (w1[0], w1[1], offset);
w2[1] = amd_bytealign_S (w0[3], w1[0], offset);
w2[0] = amd_bytealign_S (w0[2], w0[3], offset);
w1[3] = amd_bytealign_S (w0[1], w0[2], offset);
w1[2] = amd_bytealign_S (w0[0], w0[1], offset);
w1[1] = amd_bytealign_S ( 0, w0[0], offset);
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 6:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign_S (w1[3], 0, offset);
w3[1] = amd_bytealign_S (w1[2], w1[3], offset);
w3[0] = amd_bytealign_S (w1[1], w1[2], offset);
w2[3] = amd_bytealign_S (w1[0], w1[1], offset);
w2[2] = amd_bytealign_S (w0[3], w1[0], offset);
w2[1] = amd_bytealign_S (w0[2], w0[3], offset);
w2[0] = amd_bytealign_S (w0[1], w0[2], offset);
w1[3] = amd_bytealign_S (w0[0], w0[1], offset);
w1[2] = amd_bytealign_S ( 0, w0[0], offset);
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
break;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 7:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign_S (w1[2], 0, offset);
w3[1] = amd_bytealign_S (w1[1], w1[2], offset);
w3[0] = amd_bytealign_S (w1[0], w1[1], offset);
w2[3] = amd_bytealign_S (w0[3], w1[0], offset);
w2[2] = amd_bytealign_S (w0[2], w0[3], offset);
w2[1] = amd_bytealign_S (w0[1], w0[2], offset);
w2[0] = amd_bytealign_S (w0[0], w0[1], offset);
w1[3] = amd_bytealign_S ( 0, w0[0], offset);
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 8:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign_S (w1[1], 0, offset);
w3[1] = amd_bytealign_S (w1[0], w1[1], offset);
w3[0] = amd_bytealign_S (w0[3], w1[0], offset);
w2[3] = amd_bytealign_S (w0[2], w0[3], offset);
w2[2] = amd_bytealign_S (w0[1], w0[2], offset);
w2[1] = amd_bytealign_S (w0[0], w0[1], offset);
w2[0] = amd_bytealign_S ( 0, w0[0], offset);
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
break;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 9:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign_S (w1[0], 0, offset);
w3[1] = amd_bytealign_S (w0[3], w1[0], offset);
w3[0] = amd_bytealign_S (w0[2], w0[3], offset);
w2[3] = amd_bytealign_S (w0[1], w0[2], offset);
w2[2] = amd_bytealign_S (w0[0], w0[1], offset);
w2[1] = amd_bytealign_S ( 0, w0[0], offset);
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 10:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign_S (w0[3], 0, offset);
w3[1] = amd_bytealign_S (w0[2], w0[3], offset);
w3[0] = amd_bytealign_S (w0[1], w0[2], offset);
w2[3] = amd_bytealign_S (w0[0], w0[1], offset);
w2[2] = amd_bytealign_S ( 0, w0[0], offset);
w2[1] = 0;
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
break;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 11:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign_S (w0[2], 0, offset);
w3[1] = amd_bytealign_S (w0[1], w0[2], offset);
w3[0] = amd_bytealign_S (w0[0], w0[1], offset);
w2[3] = amd_bytealign_S ( 0, w0[0], offset);
w2[2] = 0;
w2[1] = 0;
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 12:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign_S (w0[1], 0, offset);
w3[1] = amd_bytealign_S (w0[0], w0[1], offset);
w3[0] = amd_bytealign_S ( 0, w0[0], offset);
w2[3] = 0;
w2[2] = 0;
w2[1] = 0;
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
break;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 13:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[2] = amd_bytealign_S (w0[0], 0, offset);
w3[1] = amd_bytealign_S ( 0, w0[0], offset);
w3[0] = 0;
w2[3] = 0;
w2[2] = 0;
w2[1] = 0;
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
}
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
#endif
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
#ifdef IS_NV
const int selector = (0x76543210 >> ((offset & 3) * 4)) & 0xffff;
switch (offset / 4)
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
{
case 0:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm_S (w3[1], w3[0], selector);
w3[0] = __byte_perm_S (w3[0], w2[3], selector);
w2[3] = __byte_perm_S (w2[3], w2[2], selector);
w2[2] = __byte_perm_S (w2[2], w2[1], selector);
w2[1] = __byte_perm_S (w2[1], w2[0], selector);
w2[0] = __byte_perm_S (w2[0], w1[3], selector);
w1[3] = __byte_perm_S (w1[3], w1[2], selector);
w1[2] = __byte_perm_S (w1[2], w1[1], selector);
w1[1] = __byte_perm_S (w1[1], w1[0], selector);
w1[0] = __byte_perm_S (w1[0], w0[3], selector);
w0[3] = __byte_perm_S (w0[3], w0[2], selector);
w0[2] = __byte_perm_S (w0[2], w0[1], selector);
w0[1] = __byte_perm_S (w0[1], w0[0], selector);
w0[0] = __byte_perm_S (w0[0], 0, selector);
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 1:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm_S (w3[0], w2[3], selector);
w3[0] = __byte_perm_S (w2[3], w2[2], selector);
w2[3] = __byte_perm_S (w2[2], w2[1], selector);
w2[2] = __byte_perm_S (w2[1], w2[0], selector);
w2[1] = __byte_perm_S (w2[0], w1[3], selector);
w2[0] = __byte_perm_S (w1[3], w1[2], selector);
w1[3] = __byte_perm_S (w1[2], w1[1], selector);
w1[2] = __byte_perm_S (w1[1], w1[0], selector);
w1[1] = __byte_perm_S (w1[0], w0[3], selector);
w1[0] = __byte_perm_S (w0[3], w0[2], selector);
w0[3] = __byte_perm_S (w0[2], w0[1], selector);
w0[2] = __byte_perm_S (w0[1], w0[0], selector);
w0[1] = __byte_perm_S (w0[0], 0, selector);
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 2:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm_S (w2[3], w2[2], selector);
w3[0] = __byte_perm_S (w2[2], w2[1], selector);
w2[3] = __byte_perm_S (w2[1], w2[0], selector);
w2[2] = __byte_perm_S (w2[0], w1[3], selector);
w2[1] = __byte_perm_S (w1[3], w1[2], selector);
w2[0] = __byte_perm_S (w1[2], w1[1], selector);
w1[3] = __byte_perm_S (w1[1], w1[0], selector);
w1[2] = __byte_perm_S (w1[0], w0[3], selector);
w1[1] = __byte_perm_S (w0[3], w0[2], selector);
w1[0] = __byte_perm_S (w0[2], w0[1], selector);
w0[3] = __byte_perm_S (w0[1], w0[0], selector);
w0[2] = __byte_perm_S (w0[0], 0, selector);
w0[1] = 0;
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 3:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm_S (w2[2], w2[1], selector);
w3[0] = __byte_perm_S (w2[1], w2[0], selector);
w2[3] = __byte_perm_S (w2[0], w1[3], selector);
w2[2] = __byte_perm_S (w1[3], w1[2], selector);
w2[1] = __byte_perm_S (w1[2], w1[1], selector);
w2[0] = __byte_perm_S (w1[1], w1[0], selector);
w1[3] = __byte_perm_S (w1[0], w0[3], selector);
w1[2] = __byte_perm_S (w0[3], w0[2], selector);
w1[1] = __byte_perm_S (w0[2], w0[1], selector);
w1[0] = __byte_perm_S (w0[1], w0[0], selector);
w0[3] = __byte_perm_S (w0[0], 0, selector);
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 4:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm_S (w2[1], w2[0], selector);
w3[0] = __byte_perm_S (w2[0], w1[3], selector);
w2[3] = __byte_perm_S (w1[3], w1[2], selector);
w2[2] = __byte_perm_S (w1[2], w1[1], selector);
w2[1] = __byte_perm_S (w1[1], w1[0], selector);
w2[0] = __byte_perm_S (w1[0], w0[3], selector);
w1[3] = __byte_perm_S (w0[3], w0[2], selector);
w1[2] = __byte_perm_S (w0[2], w0[1], selector);
w1[1] = __byte_perm_S (w0[1], w0[0], selector);
w1[0] = __byte_perm_S (w0[0], 0, selector);
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 5:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm_S (w2[0], w1[3], selector);
w3[0] = __byte_perm_S (w1[3], w1[2], selector);
w2[3] = __byte_perm_S (w1[2], w1[1], selector);
w2[2] = __byte_perm_S (w1[1], w1[0], selector);
w2[1] = __byte_perm_S (w1[0], w0[3], selector);
w2[0] = __byte_perm_S (w0[3], w0[2], selector);
w1[3] = __byte_perm_S (w0[2], w0[1], selector);
w1[2] = __byte_perm_S (w0[1], w0[0], selector);
w1[1] = __byte_perm_S (w0[0], 0, selector);
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 6:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm_S (w1[3], w1[2], selector);
w3[0] = __byte_perm_S (w1[2], w1[1], selector);
w2[3] = __byte_perm_S (w1[1], w1[0], selector);
w2[2] = __byte_perm_S (w1[0], w0[3], selector);
w2[1] = __byte_perm_S (w0[3], w0[2], selector);
w2[0] = __byte_perm_S (w0[2], w0[1], selector);
w1[3] = __byte_perm_S (w0[1], w0[0], selector);
w1[2] = __byte_perm_S (w0[0], 0, selector);
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 7:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm_S (w1[2], w1[1], selector);
w3[0] = __byte_perm_S (w1[1], w1[0], selector);
w2[3] = __byte_perm_S (w1[0], w0[3], selector);
w2[2] = __byte_perm_S (w0[3], w0[2], selector);
w2[1] = __byte_perm_S (w0[2], w0[1], selector);
w2[0] = __byte_perm_S (w0[1], w0[0], selector);
w1[3] = __byte_perm_S (w0[0], 0, selector);
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 8:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm_S (w1[1], w1[0], selector);
w3[0] = __byte_perm_S (w1[0], w0[3], selector);
w2[3] = __byte_perm_S (w0[3], w0[2], selector);
w2[2] = __byte_perm_S (w0[2], w0[1], selector);
w2[1] = __byte_perm_S (w0[1], w0[0], selector);
w2[0] = __byte_perm_S (w0[0], 0, selector);
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 9:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm_S (w1[0], w0[3], selector);
w3[0] = __byte_perm_S (w0[3], w0[2], selector);
w2[3] = __byte_perm_S (w0[2], w0[1], selector);
w2[2] = __byte_perm_S (w0[1], w0[0], selector);
w2[1] = __byte_perm_S (w0[0], 0, selector);
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 10:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm_S (w0[3], w0[2], selector);
w3[0] = __byte_perm_S (w0[2], w0[1], selector);
w2[3] = __byte_perm_S (w0[1], w0[0], selector);
w2[2] = __byte_perm_S (w0[0], 0, selector);
w2[1] = 0;
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 11:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm_S (w0[2], w0[1], selector);
w3[0] = __byte_perm_S (w0[1], w0[0], selector);
w2[3] = __byte_perm_S (w0[0], 0, selector);
w2[2] = 0;
w2[1] = 0;
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 12:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm_S (w0[1], w0[0], selector);
w3[0] = __byte_perm_S (w0[0], 0, selector);
w2[3] = 0;
w2[2] = 0;
w2[1] = 0;
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
Fix append_* function calls
2015-12-15 12:42:37 +00:00
break;
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
case 13:
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
w3[1] = __byte_perm_S (w0[0], 0, selector);
w3[0] = 0;
w2[3] = 0;
w2[2] = 0;
w2[1] = 0;
w2[0] = 0;
w1[3] = 0;
w1[2] = 0;
w1[1] = 0;
w1[0] = 0;
w0[3] = 0;
w0[2] = 0;
w0[1] = 0;
w0[0] = 0;
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
break;
}
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 14:32:31 +00:00
#endif
- Dropped all vector code since new GPU's are all scalar, makes the code much easier - Some performance on low-end GPU may drop because of that, but only for a few hash-modes - Dropped scalar code (aka warp) since we do not have any vector datatypes anymore - Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4 - Still need to fix kernels to new function names, needs to be done manually - Temperature Management needs to be rewritten partially because of conflicting datatypes names - Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id) - Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD) - First tests working for -m 0, for example - Great performance increases in general for NV so far - Tested amp_* and markov_* kernel - Migrated special NV optimizations for rule processor
2015-12-15 11:04:22 +00:00
}
New SIMD code for -a 1 prepare
2016-02-21 17:39:44 +00:00
/**
* vector functions on scalar types (for inner loop usage)
*/
Fixed two major problems 1) SIMD code for all attack-mode Macro vector_accessible() was not refactored and missing completely. Had to rename variables rules_cnt, combs_cnt and bfs_cnt into il_cnt which was a good thing anyway as with new SIMD code they all act in the same way. 2) SIMD code for attack-mode 0 With new SIMD code, apply_rules_vect() has to return u32 not u32x. This has massive impact on all *_a0 kernels. I've rewritten most of them. Deep testing using test.sh is still required. Some kernel need more fixes: - Some are kind of completely incompatible like m10400 but they still use old check_* includes, we should get rid of them as they are no longer neccessary as we have simd.c - Some have a chance but require additional effort like m11500. We can use commented out "#define NEW_SIMD_CODE" to find them This change can have negative impact on -a0 performance for device that require vectorization. That is mostly CPU devices. New GPU's are all scalar, so they wont get hurt by this. This change also proofes that there's no way to efficiently vectorize kernel rules with new SIMD code, but it enables the addition of the rule functions like @ that we were missing for some long time. This is a TODO.
2016-02-27 16:18:54 +00:00
#define PACKVS2(sn,vn,e) \
sn[0] = vn[0].s##e; \
sn[1] = vn[1].s##e;
#define PACKSV2(sn,vn,e) \
vn[0].s##e = sn[0]; \
vn[1].s##e = sn[1];
#define PACKVS24(s0,s1,v0,v1,e) \
PACKVS4 (s0, v0, e); \
PACKVS4 (s1, v1, e);
#define PACKSV24(s0,s1,v0,v1,e) \
PACKSV4 (s0, v0, e); \
PACKSV4 (s1, v1, e);
New SIMD code for -a 1 prepare
2016-02-21 17:39:44 +00:00
#define PACKVS4(sn,vn,e) \
sn[0] = vn[0].s##e; \
sn[1] = vn[1].s##e; \
sn[2] = vn[2].s##e; \
sn[3] = vn[3].s##e;
#define PACKSV4(sn,vn,e) \
vn[0].s##e = sn[0]; \
vn[1].s##e = sn[1]; \
vn[2].s##e = sn[2]; \
vn[3].s##e = sn[3];
#define PACKVS44(s0,s1,s2,s3,v0,v1,v2,v3,e) \
PACKVS4 (s0, v0, e); \
PACKVS4 (s1, v1, e); \
PACKVS4 (s2, v2, e); \
PACKVS4 (s3, v3, e);
#define PACKSV44(s0,s1,s2,s3,v0,v1,v2,v3,e) \
PACKSV4 (s0, v0, e); \
PACKSV4 (s1, v1, e); \
PACKSV4 (s2, v2, e); \
PACKSV4 (s3, v3, e);
- Added inline declaration to functions from simd.c, common.c, rp.c and types_ocl.c to increase performance - Dropped static declaration from functions in all kernel to achieve OpenCL 1.1 compatibility - Added -cl-std=CL1.1 to all kernel build options - Created environment variable to inform NVidia OpenCL runtime to not create its own kernel cache - Created environment variable to inform pocl OpenCL runtime to not create its own kernel cache
2016-05-01 21:15:26 +00:00
inline void switch_buffer_by_offset_le_VV (u32x w0[4], u32x w1[4], u32x w2[4], u32x w3[4], const u32x offset)
New SIMD code for -a 1 prepare
2016-02-21 17:39:44 +00:00
{
#if VECT_SIZE == 1
switch_buffer_by_offset_le_S (w0, w1, w2, w3, offset);
#else
u32 t0[4];
u32 t1[4];
u32 t2[4];
u32 t3[4];
#endif
#if VECT_SIZE == 2
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 0); switch_buffer_by_offset_le_S (t0, t1, t2, t3, offset.s0); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 0);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 1); switch_buffer_by_offset_le_S (t0, t1, t2, t3, offset.s1); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 1);
#elif VECT_SIZE == 4
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 0); switch_buffer_by_offset_le_S (t0, t1, t2, t3, offset.s0); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 0);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 1); switch_buffer_by_offset_le_S (t0, t1, t2, t3, offset.s1); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 1);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 2); switch_buffer_by_offset_le_S (t0, t1, t2, t3, offset.s2); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 2);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 3); switch_buffer_by_offset_le_S (t0, t1, t2, t3, offset.s3); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 3);
#elif VECT_SIZE == 8
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 0); switch_buffer_by_offset_le_S (t0, t1, t2, t3, offset.s0); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 0);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 1); switch_buffer_by_offset_le_S (t0, t1, t2, t3, offset.s1); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 1);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 2); switch_buffer_by_offset_le_S (t0, t1, t2, t3, offset.s2); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 2);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 3); switch_buffer_by_offset_le_S (t0, t1, t2, t3, offset.s3); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 3);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 4); switch_buffer_by_offset_le_S (t0, t1, t2, t3, offset.s4); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 4);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 5); switch_buffer_by_offset_le_S (t0, t1, t2, t3, offset.s5); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 5);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 6); switch_buffer_by_offset_le_S (t0, t1, t2, t3, offset.s6); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 6);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 7); switch_buffer_by_offset_le_S (t0, t1, t2, t3, offset.s7); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 7);
#elif VECT_SIZE == 16
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 0); switch_buffer_by_offset_le_S (t0, t1, t2, t3, offset.s0); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 0);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 1); switch_buffer_by_offset_le_S (t0, t1, t2, t3, offset.s1); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 1);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 2); switch_buffer_by_offset_le_S (t0, t1, t2, t3, offset.s2); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 2);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 3); switch_buffer_by_offset_le_S (t0, t1, t2, t3, offset.s3); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 3);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 4); switch_buffer_by_offset_le_S (t0, t1, t2, t3, offset.s4); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 4);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 5); switch_buffer_by_offset_le_S (t0, t1, t2, t3, offset.s5); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 5);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 6); switch_buffer_by_offset_le_S (t0, t1, t2, t3, offset.s6); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 6);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 7); switch_buffer_by_offset_le_S (t0, t1, t2, t3, offset.s7); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 7);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 8); switch_buffer_by_offset_le_S (t0, t1, t2, t3, offset.s8); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 8);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 9); switch_buffer_by_offset_le_S (t0, t1, t2, t3, offset.s9); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 9);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, a); switch_buffer_by_offset_le_S (t0, t1, t2, t3, offset.sa); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, a);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, b); switch_buffer_by_offset_le_S (t0, t1, t2, t3, offset.sb); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, b);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, c); switch_buffer_by_offset_le_S (t0, t1, t2, t3, offset.sc); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, c);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, d); switch_buffer_by_offset_le_S (t0, t1, t2, t3, offset.sd); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, d);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, e); switch_buffer_by_offset_le_S (t0, t1, t2, t3, offset.se); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, e);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, f); switch_buffer_by_offset_le_S (t0, t1, t2, t3, offset.sf); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, f);
#endif
}
- Added inline declaration to functions from simd.c, common.c, rp.c and types_ocl.c to increase performance - Dropped static declaration from functions in all kernel to achieve OpenCL 1.1 compatibility - Added -cl-std=CL1.1 to all kernel build options - Created environment variable to inform NVidia OpenCL runtime to not create its own kernel cache - Created environment variable to inform pocl OpenCL runtime to not create its own kernel cache
2016-05-01 21:15:26 +00:00
inline void append_0x01_2x4_VV (u32x w0[4], u32x w1[4], const u32x offset)
Fixed two major problems 1) SIMD code for all attack-mode Macro vector_accessible() was not refactored and missing completely. Had to rename variables rules_cnt, combs_cnt and bfs_cnt into il_cnt which was a good thing anyway as with new SIMD code they all act in the same way. 2) SIMD code for attack-mode 0 With new SIMD code, apply_rules_vect() has to return u32 not u32x. This has massive impact on all *_a0 kernels. I've rewritten most of them. Deep testing using test.sh is still required. Some kernel need more fixes: - Some are kind of completely incompatible like m10400 but they still use old check_* includes, we should get rid of them as they are no longer neccessary as we have simd.c - Some have a chance but require additional effort like m11500. We can use commented out "#define NEW_SIMD_CODE" to find them This change can have negative impact on -a0 performance for device that require vectorization. That is mostly CPU devices. New GPU's are all scalar, so they wont get hurt by this. This change also proofes that there's no way to efficiently vectorize kernel rules with new SIMD code, but it enables the addition of the rule functions like @ that we were missing for some long time. This is a TODO.
2016-02-27 16:18:54 +00:00
{
#if VECT_SIZE == 1
append_0x01_2x4_S (w0, w1, offset);
#else
u32 t0[4];
u32 t1[4];
#endif
#if VECT_SIZE == 2
PACKVS24 (t0, t1, w0, w1, 0); append_0x01_2x4_S (t0, t1, offset.s0); PACKSV24 (t0, t1, w0, w1, 0);
PACKVS24 (t0, t1, w0, w1, 1); append_0x01_2x4_S (t0, t1, offset.s1); PACKSV24 (t0, t1, w0, w1, 1);
#elif VECT_SIZE == 4
PACKVS24 (t0, t1, w0, w1, 0); append_0x01_2x4_S (t0, t1, offset.s0); PACKSV24 (t0, t1, w0, w1, 0);
PACKVS24 (t0, t1, w0, w1, 1); append_0x01_2x4_S (t0, t1, offset.s1); PACKSV24 (t0, t1, w0, w1, 1);
PACKVS24 (t0, t1, w0, w1, 2); append_0x01_2x4_S (t0, t1, offset.s2); PACKSV24 (t0, t1, w0, w1, 2);
PACKVS24 (t0, t1, w0, w1, 3); append_0x01_2x4_S (t0, t1, offset.s3); PACKSV24 (t0, t1, w0, w1, 3);
#elif VECT_SIZE == 8
PACKVS24 (t0, t1, w0, w1, 0); append_0x01_2x4_S (t0, t1, offset.s0); PACKSV24 (t0, t1, w0, w1, 0);
PACKVS24 (t0, t1, w0, w1, 1); append_0x01_2x4_S (t0, t1, offset.s1); PACKSV24 (t0, t1, w0, w1, 1);
PACKVS24 (t0, t1, w0, w1, 2); append_0x01_2x4_S (t0, t1, offset.s2); PACKSV24 (t0, t1, w0, w1, 2);
PACKVS24 (t0, t1, w0, w1, 3); append_0x01_2x4_S (t0, t1, offset.s3); PACKSV24 (t0, t1, w0, w1, 3);
PACKVS24 (t0, t1, w0, w1, 4); append_0x01_2x4_S (t0, t1, offset.s4); PACKSV24 (t0, t1, w0, w1, 4);
PACKVS24 (t0, t1, w0, w1, 5); append_0x01_2x4_S (t0, t1, offset.s5); PACKSV24 (t0, t1, w0, w1, 5);
PACKVS24 (t0, t1, w0, w1, 6); append_0x01_2x4_S (t0, t1, offset.s6); PACKSV24 (t0, t1, w0, w1, 6);
PACKVS24 (t0, t1, w0, w1, 7); append_0x01_2x4_S (t0, t1, offset.s7); PACKSV24 (t0, t1, w0, w1, 7);
#elif VECT_SIZE == 16
PACKVS24 (t0, t1, w0, w1, 0); append_0x01_2x4_S (t0, t1, offset.s0); PACKSV24 (t0, t1, w0, w1, 0);
PACKVS24 (t0, t1, w0, w1, 1); append_0x01_2x4_S (t0, t1, offset.s1); PACKSV24 (t0, t1, w0, w1, 1);
PACKVS24 (t0, t1, w0, w1, 2); append_0x01_2x4_S (t0, t1, offset.s2); PACKSV24 (t0, t1, w0, w1, 2);
PACKVS24 (t0, t1, w0, w1, 3); append_0x01_2x4_S (t0, t1, offset.s3); PACKSV24 (t0, t1, w0, w1, 3);
PACKVS24 (t0, t1, w0, w1, 4); append_0x01_2x4_S (t0, t1, offset.s4); PACKSV24 (t0, t1, w0, w1, 4);
PACKVS24 (t0, t1, w0, w1, 5); append_0x01_2x4_S (t0, t1, offset.s5); PACKSV24 (t0, t1, w0, w1, 5);
PACKVS24 (t0, t1, w0, w1, 6); append_0x01_2x4_S (t0, t1, offset.s6); PACKSV24 (t0, t1, w0, w1, 6);
PACKVS24 (t0, t1, w0, w1, 7); append_0x01_2x4_S (t0, t1, offset.s7); PACKSV24 (t0, t1, w0, w1, 7);
PACKVS24 (t0, t1, w0, w1, 8); append_0x01_2x4_S (t0, t1, offset.s8); PACKSV24 (t0, t1, w0, w1, 8);
PACKVS24 (t0, t1, w0, w1, 9); append_0x01_2x4_S (t0, t1, offset.s9); PACKSV24 (t0, t1, w0, w1, 9);
PACKVS24 (t0, t1, w0, w1, a); append_0x01_2x4_S (t0, t1, offset.sa); PACKSV24 (t0, t1, w0, w1, a);
PACKVS24 (t0, t1, w0, w1, b); append_0x01_2x4_S (t0, t1, offset.sb); PACKSV24 (t0, t1, w0, w1, b);
PACKVS24 (t0, t1, w0, w1, c); append_0x01_2x4_S (t0, t1, offset.sc); PACKSV24 (t0, t1, w0, w1, c);
PACKVS24 (t0, t1, w0, w1, d); append_0x01_2x4_S (t0, t1, offset.sd); PACKSV24 (t0, t1, w0, w1, d);
PACKVS24 (t0, t1, w0, w1, e); append_0x01_2x4_S (t0, t1, offset.se); PACKSV24 (t0, t1, w0, w1, e);
PACKVS24 (t0, t1, w0, w1, f); append_0x01_2x4_S (t0, t1, offset.sf); PACKSV24 (t0, t1, w0, w1, f);
#endif
}
- Added inline declaration to functions from simd.c, common.c, rp.c and types_ocl.c to increase performance - Dropped static declaration from functions in all kernel to achieve OpenCL 1.1 compatibility - Added -cl-std=CL1.1 to all kernel build options - Created environment variable to inform NVidia OpenCL runtime to not create its own kernel cache - Created environment variable to inform pocl OpenCL runtime to not create its own kernel cache
2016-05-01 21:15:26 +00:00
inline void append_0x80_2x4_VV (u32x w0[4], u32x w1[4], const u32x offset)
Fixed two major problems 1) SIMD code for all attack-mode Macro vector_accessible() was not refactored and missing completely. Had to rename variables rules_cnt, combs_cnt and bfs_cnt into il_cnt which was a good thing anyway as with new SIMD code they all act in the same way. 2) SIMD code for attack-mode 0 With new SIMD code, apply_rules_vect() has to return u32 not u32x. This has massive impact on all *_a0 kernels. I've rewritten most of them. Deep testing using test.sh is still required. Some kernel need more fixes: - Some are kind of completely incompatible like m10400 but they still use old check_* includes, we should get rid of them as they are no longer neccessary as we have simd.c - Some have a chance but require additional effort like m11500. We can use commented out "#define NEW_SIMD_CODE" to find them This change can have negative impact on -a0 performance for device that require vectorization. That is mostly CPU devices. New GPU's are all scalar, so they wont get hurt by this. This change also proofes that there's no way to efficiently vectorize kernel rules with new SIMD code, but it enables the addition of the rule functions like @ that we were missing for some long time. This is a TODO.
2016-02-27 16:18:54 +00:00
{
#if VECT_SIZE == 1
append_0x80_2x4_S (w0, w1, offset);
#else
u32 t0[4];
u32 t1[4];
#endif
#if VECT_SIZE == 2
PACKVS24 (t0, t1, w0, w1, 0); append_0x80_2x4_S (t0, t1, offset.s0); PACKSV24 (t0, t1, w0, w1, 0);
PACKVS24 (t0, t1, w0, w1, 1); append_0x80_2x4_S (t0, t1, offset.s1); PACKSV24 (t0, t1, w0, w1, 1);
#elif VECT_SIZE == 4
PACKVS24 (t0, t1, w0, w1, 0); append_0x80_2x4_S (t0, t1, offset.s0); PACKSV24 (t0, t1, w0, w1, 0);
PACKVS24 (t0, t1, w0, w1, 1); append_0x80_2x4_S (t0, t1, offset.s1); PACKSV24 (t0, t1, w0, w1, 1);
PACKVS24 (t0, t1, w0, w1, 2); append_0x80_2x4_S (t0, t1, offset.s2); PACKSV24 (t0, t1, w0, w1, 2);
PACKVS24 (t0, t1, w0, w1, 3); append_0x80_2x4_S (t0, t1, offset.s3); PACKSV24 (t0, t1, w0, w1, 3);
#elif VECT_SIZE == 8
PACKVS24 (t0, t1, w0, w1, 0); append_0x80_2x4_S (t0, t1, offset.s0); PACKSV24 (t0, t1, w0, w1, 0);
PACKVS24 (t0, t1, w0, w1, 1); append_0x80_2x4_S (t0, t1, offset.s1); PACKSV24 (t0, t1, w0, w1, 1);
PACKVS24 (t0, t1, w0, w1, 2); append_0x80_2x4_S (t0, t1, offset.s2); PACKSV24 (t0, t1, w0, w1, 2);
PACKVS24 (t0, t1, w0, w1, 3); append_0x80_2x4_S (t0, t1, offset.s3); PACKSV24 (t0, t1, w0, w1, 3);
PACKVS24 (t0, t1, w0, w1, 4); append_0x80_2x4_S (t0, t1, offset.s4); PACKSV24 (t0, t1, w0, w1, 4);
PACKVS24 (t0, t1, w0, w1, 5); append_0x80_2x4_S (t0, t1, offset.s5); PACKSV24 (t0, t1, w0, w1, 5);
PACKVS24 (t0, t1, w0, w1, 6); append_0x80_2x4_S (t0, t1, offset.s6); PACKSV24 (t0, t1, w0, w1, 6);
PACKVS24 (t0, t1, w0, w1, 7); append_0x80_2x4_S (t0, t1, offset.s7); PACKSV24 (t0, t1, w0, w1, 7);
#elif VECT_SIZE == 16
PACKVS24 (t0, t1, w0, w1, 0); append_0x80_2x4_S (t0, t1, offset.s0); PACKSV24 (t0, t1, w0, w1, 0);
PACKVS24 (t0, t1, w0, w1, 1); append_0x80_2x4_S (t0, t1, offset.s1); PACKSV24 (t0, t1, w0, w1, 1);
PACKVS24 (t0, t1, w0, w1, 2); append_0x80_2x4_S (t0, t1, offset.s2); PACKSV24 (t0, t1, w0, w1, 2);
PACKVS24 (t0, t1, w0, w1, 3); append_0x80_2x4_S (t0, t1, offset.s3); PACKSV24 (t0, t1, w0, w1, 3);
PACKVS24 (t0, t1, w0, w1, 4); append_0x80_2x4_S (t0, t1, offset.s4); PACKSV24 (t0, t1, w0, w1, 4);
PACKVS24 (t0, t1, w0, w1, 5); append_0x80_2x4_S (t0, t1, offset.s5); PACKSV24 (t0, t1, w0, w1, 5);
PACKVS24 (t0, t1, w0, w1, 6); append_0x80_2x4_S (t0, t1, offset.s6); PACKSV24 (t0, t1, w0, w1, 6);
PACKVS24 (t0, t1, w0, w1, 7); append_0x80_2x4_S (t0, t1, offset.s7); PACKSV24 (t0, t1, w0, w1, 7);
PACKVS24 (t0, t1, w0, w1, 8); append_0x80_2x4_S (t0, t1, offset.s8); PACKSV24 (t0, t1, w0, w1, 8);
PACKVS24 (t0, t1, w0, w1, 9); append_0x80_2x4_S (t0, t1, offset.s9); PACKSV24 (t0, t1, w0, w1, 9);
PACKVS24 (t0, t1, w0, w1, a); append_0x80_2x4_S (t0, t1, offset.sa); PACKSV24 (t0, t1, w0, w1, a);
PACKVS24 (t0, t1, w0, w1, b); append_0x80_2x4_S (t0, t1, offset.sb); PACKSV24 (t0, t1, w0, w1, b);
PACKVS24 (t0, t1, w0, w1, c); append_0x80_2x4_S (t0, t1, offset.sc); PACKSV24 (t0, t1, w0, w1, c);
PACKVS24 (t0, t1, w0, w1, d); append_0x80_2x4_S (t0, t1, offset.sd); PACKSV24 (t0, t1, w0, w1, d);
PACKVS24 (t0, t1, w0, w1, e); append_0x80_2x4_S (t0, t1, offset.se); PACKSV24 (t0, t1, w0, w1, e);
PACKVS24 (t0, t1, w0, w1, f); append_0x80_2x4_S (t0, t1, offset.sf); PACKSV24 (t0, t1, w0, w1, f);
#endif
}
- Added inline declaration to functions from simd.c, common.c, rp.c and types_ocl.c to increase performance - Dropped static declaration from functions in all kernel to achieve OpenCL 1.1 compatibility - Added -cl-std=CL1.1 to all kernel build options - Created environment variable to inform NVidia OpenCL runtime to not create its own kernel cache - Created environment variable to inform pocl OpenCL runtime to not create its own kernel cache
2016-05-01 21:15:26 +00:00
inline void append_0x80_4x4_VV (u32x w0[4], u32x w1[4], u32x w2[4], u32x w3[4], const u32x offset)
New SIMD code for -a 1 prepare
2016-02-21 17:39:44 +00:00
{
#if VECT_SIZE == 1
append_0x80_4x4_S (w0, w1, w2, w3, offset);
#else
u32 t0[4];
u32 t1[4];
u32 t2[4];
u32 t3[4];
#endif
#if VECT_SIZE == 2
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 0); append_0x80_4x4_S (t0, t1, t2, t3, offset.s0); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 0);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 1); append_0x80_4x4_S (t0, t1, t2, t3, offset.s1); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 1);
#elif VECT_SIZE == 4
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 0); append_0x80_4x4_S (t0, t1, t2, t3, offset.s0); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 0);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 1); append_0x80_4x4_S (t0, t1, t2, t3, offset.s1); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 1);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 2); append_0x80_4x4_S (t0, t1, t2, t3, offset.s2); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 2);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 3); append_0x80_4x4_S (t0, t1, t2, t3, offset.s3); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 3);
#elif VECT_SIZE == 8
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 0); append_0x80_4x4_S (t0, t1, t2, t3, offset.s0); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 0);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 1); append_0x80_4x4_S (t0, t1, t2, t3, offset.s1); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 1);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 2); append_0x80_4x4_S (t0, t1, t2, t3, offset.s2); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 2);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 3); append_0x80_4x4_S (t0, t1, t2, t3, offset.s3); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 3);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 4); append_0x80_4x4_S (t0, t1, t2, t3, offset.s4); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 4);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 5); append_0x80_4x4_S (t0, t1, t2, t3, offset.s5); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 5);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 6); append_0x80_4x4_S (t0, t1, t2, t3, offset.s6); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 6);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 7); append_0x80_4x4_S (t0, t1, t2, t3, offset.s7); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 7);
#elif VECT_SIZE == 16
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 0); append_0x80_4x4_S (t0, t1, t2, t3, offset.s0); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 0);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 1); append_0x80_4x4_S (t0, t1, t2, t3, offset.s1); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 1);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 2); append_0x80_4x4_S (t0, t1, t2, t3, offset.s2); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 2);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 3); append_0x80_4x4_S (t0, t1, t2, t3, offset.s3); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 3);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 4); append_0x80_4x4_S (t0, t1, t2, t3, offset.s4); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 4);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 5); append_0x80_4x4_S (t0, t1, t2, t3, offset.s5); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 5);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 6); append_0x80_4x4_S (t0, t1, t2, t3, offset.s6); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 6);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 7); append_0x80_4x4_S (t0, t1, t2, t3, offset.s7); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 7);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 8); append_0x80_4x4_S (t0, t1, t2, t3, offset.s8); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 8);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, 9); append_0x80_4x4_S (t0, t1, t2, t3, offset.s9); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, 9);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, a); append_0x80_4x4_S (t0, t1, t2, t3, offset.sa); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, a);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, b); append_0x80_4x4_S (t0, t1, t2, t3, offset.sb); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, b);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, c); append_0x80_4x4_S (t0, t1, t2, t3, offset.sc); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, c);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, d); append_0x80_4x4_S (t0, t1, t2, t3, offset.sd); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, d);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, e); append_0x80_4x4_S (t0, t1, t2, t3, offset.se); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, e);
PACKVS44 (t0, t1, t2, t3, w0, w1, w2, w3, f); append_0x80_4x4_S (t0, t1, t2, t3, offset.sf); PACKSV44 (t0, t1, t2, t3, w0, w1, w2, w3, f);
#endif
}
Introduce a true memset kernel, currently operates on 16 byte per item
2016-05-26 14:45:52 +00:00
__kernel void gpu_memset (__global uint4 *buf, const u32 value, const u32 gid_max)
{
const u32 gid = get_global_id (0);
if (gid >= gid_max) return;
buf[gid] = (uint4) (value);
}
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