arno/hashcat
1
0
Fork 0
mirror of https://github.com/hashcat/hashcat.git synced 2024-11-27 02:18:21 +00:00
Code Issues Releases Wiki Activity
9811a21098
hashcat/OpenCL/m11400_a0.cl

2325 lines
90 KiB
Common Lisp
Raw Normal View History

Initial commit
2015-12-04 14:47:52 +00:00
/**
Allow and support vector-width 16, which is current maximum for OpenCL. Closes #226.
2016-02-16 15:42:08 +00:00
* Authors.....: Jens Steube <jens.steube@gmail.com>
* magnum <john.magnum@hushmail.com>
*
Initial commit
2015-12-04 14:47:52 +00:00
* License.....: MIT
*/
#define _MD5_
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
#define NEW_SIMD_CODE
Initial commit
2015-12-04 14:47:52 +00:00
#include "include/constants.h"
#include "include/kernel_vendor.h"
#define DGST_R0 0
#define DGST_R1 3
#define DGST_R2 2
#define DGST_R3 1
#include "include/kernel_functions.c"
Fix path to includes
2016-01-03 00:48:05 +00:00
#include "OpenCL/types_ocl.c"
#include "OpenCL/common.c"
Replace the substring GPU to a more appropriate "device" or "kernel" substring depending on the context
2016-01-05 07:26:44 +00:00
#include "include/rp_kernel.h"
Fix path to includes
2016-01-03 00:56:41 +00:00
#include "OpenCL/rp.c"
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
#include "OpenCL/simd.c"
#if VECT_SIZE == 1
#define uint_to_hex_lower8(i) (u32x) (l_bin2asc[(i)])
#elif VECT_SIZE == 2
#define uint_to_hex_lower8(i) (u32x) (l_bin2asc[(i).s0], l_bin2asc[(i).s1])
#elif VECT_SIZE == 4
#define uint_to_hex_lower8(i) (u32x) (l_bin2asc[(i).s0], l_bin2asc[(i).s1], l_bin2asc[(i).s2], l_bin2asc[(i).s3])
#elif VECT_SIZE == 8
#define uint_to_hex_lower8(i) (u32x) (l_bin2asc[(i).s0], l_bin2asc[(i).s1], l_bin2asc[(i).s2], l_bin2asc[(i).s3], l_bin2asc[(i).s4], l_bin2asc[(i).s5], l_bin2asc[(i).s6], l_bin2asc[(i).s7])
Allow and support vector-width 16, which is current maximum for OpenCL. Closes #226.
2016-02-16 15:42:08 +00:00
#elif VECT_SIZE == 16
#define uint_to_hex_lower8(i) (u32x) (l_bin2asc[(i).s0], l_bin2asc[(i).s1], l_bin2asc[(i).s2], l_bin2asc[(i).s3], l_bin2asc[(i).s4], l_bin2asc[(i).s5], l_bin2asc[(i).s6], l_bin2asc[(i).s7], l_bin2asc[(i).s8], l_bin2asc[(i).s9], l_bin2asc[(i).sa], l_bin2asc[(i).sb], l_bin2asc[(i).sc], l_bin2asc[(i).sd], l_bin2asc[(i).se], l_bin2asc[(i).sf])
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
#endif
static u32 memcat32 (u32x block0[16], u32x block1[16], const u32 block_len, const u32x append0[4], const u32x append1[4], const u32x append2[4], const u32x append3[4], const u32 append_len)
Initial commit
2015-12-04 14:47:52 +00:00
{
const u32 mod = block_len & 3;
const u32 div = block_len / 4;
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
Initial commit
2015-12-04 14:47:52 +00:00
const int offset_minus_4 = 4 - mod;
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
u32x append0_t[4];
Initial commit
2015-12-04 14:47:52 +00:00
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
append0_t[0] = amd_bytealign (append0[0], 0, offset_minus_4);
Initial commit
2015-12-04 14:47:52 +00:00
append0_t[1] = amd_bytealign (append0[1], append0[0], offset_minus_4);
append0_t[2] = amd_bytealign (append0[2], append0[1], offset_minus_4);
append0_t[3] = amd_bytealign (append0[3], append0[2], offset_minus_4);
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
u32x append1_t[4];
Initial commit
2015-12-04 14:47:52 +00:00
append1_t[0] = amd_bytealign (append1[0], append0[3], offset_minus_4);
append1_t[1] = amd_bytealign (append1[1], append1[0], offset_minus_4);
append1_t[2] = amd_bytealign (append1[2], append1[1], offset_minus_4);
append1_t[3] = amd_bytealign (append1[3], append1[2], offset_minus_4);
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
u32x append2_t[4];
Initial commit
2015-12-04 14:47:52 +00:00
append2_t[0] = amd_bytealign (append2[0], append1[3], offset_minus_4);
append2_t[1] = amd_bytealign (append2[1], append2[0], offset_minus_4);
append2_t[2] = amd_bytealign (append2[2], append2[1], offset_minus_4);
append2_t[3] = amd_bytealign (append2[3], append2[2], offset_minus_4);
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
u32x append3_t[4];
Initial commit
2015-12-04 14:47:52 +00:00
append3_t[0] = amd_bytealign (append3[0], append2[3], offset_minus_4);
append3_t[1] = amd_bytealign (append3[1], append3[0], offset_minus_4);
append3_t[2] = amd_bytealign (append3[2], append3[1], offset_minus_4);
append3_t[3] = amd_bytealign (append3[3], append3[2], offset_minus_4);
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
u32x append4_t[4];
Initial commit
2015-12-04 14:47:52 +00:00
append4_t[0] = amd_bytealign ( 0, append3[3], offset_minus_4);
append4_t[1] = 0;
append4_t[2] = 0;
append4_t[3] = 0;
if (mod == 0)
{
append0_t[0] = append0[0];
append0_t[1] = append0[1];
append0_t[2] = append0[2];
append0_t[3] = append0[3];
append1_t[0] = append1[0];
append1_t[1] = append1[1];
append1_t[2] = append1[2];
append1_t[3] = append1[3];
append2_t[0] = append2[0];
append2_t[1] = append2[1];
append2_t[2] = append2[2];
append2_t[3] = append2[3];
append3_t[0] = append3[0];
append3_t[1] = append3[1];
append3_t[2] = append3[2];
append3_t[3] = append3[3];
append4_t[0] = 0;
append4_t[1] = 0;
append4_t[2] = 0;
append4_t[3] = 0;
}
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
#endif
#ifdef IS_NV
const int offset_minus_4 = 4 - mod;
const int selector = (0x76543210 >> (offset_minus_4 * 4)) & 0xffff;
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
u32x append0_t[4];
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
append0_t[0] = __byte_perm ( 0, append0[0], selector);
append0_t[1] = __byte_perm (append0[0], append0[1], selector);
append0_t[2] = __byte_perm (append0[1], append0[2], selector);
append0_t[3] = __byte_perm (append0[2], append0[3], selector);
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
u32x append1_t[4];
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
append1_t[0] = __byte_perm (append0[3], append1[0], selector);
append1_t[1] = __byte_perm (append1[0], append1[1], selector);
append1_t[2] = __byte_perm (append1[1], append1[2], selector);
append1_t[3] = __byte_perm (append1[2], append1[3], selector);
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
u32x append2_t[4];
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
append2_t[0] = __byte_perm (append1[3], append2[0], selector);
append2_t[1] = __byte_perm (append2[0], append2[1], selector);
append2_t[2] = __byte_perm (append2[1], append2[2], selector);
append2_t[3] = __byte_perm (append2[2], append2[3], selector);
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
u32x append3_t[4];
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
append3_t[0] = __byte_perm (append2[3], append3[0], selector);
append3_t[1] = __byte_perm (append3[0], append3[1], selector);
append3_t[2] = __byte_perm (append3[1], append3[2], selector);
append3_t[3] = __byte_perm (append3[2], append3[3], selector);
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
u32x append4_t[4];
Fix more append_* functions in kernels
2015-12-15 15:50:21 +00:00
append4_t[0] = __byte_perm (append3[3], 0, selector);
append4_t[1] = 0;
append4_t[2] = 0;
append4_t[3] = 0;
#endif
Initial commit
2015-12-04 14:47:52 +00:00
switch (div)
{
case 0: block0[ 0] |= append0_t[0];
block0[ 1] = append0_t[1];
block0[ 2] = append0_t[2];
block0[ 3] = append0_t[3];
block0[ 4] = append1_t[0];
block0[ 5] = append1_t[1];
block0[ 6] = append1_t[2];
block0[ 7] = append1_t[3];
block0[ 8] = append2_t[0];
block0[ 9] = append2_t[1];
block0[10] = append2_t[2];
block0[11] = append2_t[3];
block0[12] = append3_t[0];
block0[13] = append3_t[1];
block0[14] = append3_t[2];
block0[15] = append3_t[3];
block1[ 0] = append4_t[0];
block1[ 1] = append4_t[1];
block1[ 2] = append4_t[2];
block1[ 3] = append4_t[3];
break;
case 1: block0[ 1] |= append0_t[0];
block0[ 2] = append0_t[1];
block0[ 3] = append0_t[2];
block0[ 4] = append0_t[3];
block0[ 5] = append1_t[0];
block0[ 6] = append1_t[1];
block0[ 7] = append1_t[2];
block0[ 8] = append1_t[3];
block0[ 9] = append2_t[0];
block0[10] = append2_t[1];
block0[11] = append2_t[2];
block0[12] = append2_t[3];
block0[13] = append3_t[0];
block0[14] = append3_t[1];
block0[15] = append3_t[2];
block1[ 0] = append3_t[3];
block1[ 1] = append4_t[0];
block1[ 2] = append4_t[1];
block1[ 3] = append4_t[2];
block1[ 4] = append4_t[3];
break;
case 2: block0[ 2] |= append0_t[0];
block0[ 3] = append0_t[1];
block0[ 4] = append0_t[2];
block0[ 5] = append0_t[3];
block0[ 6] = append1_t[0];
block0[ 7] = append1_t[1];
block0[ 8] = append1_t[2];
block0[ 9] = append1_t[3];
block0[10] = append2_t[0];
block0[11] = append2_t[1];
block0[12] = append2_t[2];
block0[13] = append2_t[3];
block0[14] = append3_t[0];
block0[15] = append3_t[1];
block1[ 0] = append3_t[2];
block1[ 1] = append3_t[3];
block1[ 2] = append4_t[0];
block1[ 3] = append4_t[1];
block1[ 4] = append4_t[2];
block1[ 5] = append4_t[3];
break;
case 3: block0[ 3] |= append0_t[0];
block0[ 4] = append0_t[1];
block0[ 5] = append0_t[2];
block0[ 6] = append0_t[3];
block0[ 7] = append1_t[0];
block0[ 8] = append1_t[1];
block0[ 9] = append1_t[2];
block0[10] = append1_t[3];
block0[11] = append2_t[0];
block0[12] = append2_t[1];
block0[13] = append2_t[2];
block0[14] = append2_t[3];
block0[15] = append3_t[0];
block1[ 0] = append3_t[1];
block1[ 1] = append3_t[2];
block1[ 2] = append3_t[3];
block1[ 3] = append4_t[0];
block1[ 4] = append4_t[1];
block1[ 5] = append4_t[2];
block1[ 6] = append4_t[3];
break;
case 4: block0[ 4] |= append0_t[0];
block0[ 5] = append0_t[1];
block0[ 6] = append0_t[2];
block0[ 7] = append0_t[3];
block0[ 8] = append1_t[0];
block0[ 9] = append1_t[1];
block0[10] = append1_t[2];
block0[11] = append1_t[3];
block0[12] = append2_t[0];
block0[13] = append2_t[1];
block0[14] = append2_t[2];
block0[15] = append2_t[3];
block1[ 0] = append3_t[0];
block1[ 1] = append3_t[1];
block1[ 2] = append3_t[2];
block1[ 3] = append3_t[3];
block1[ 4] = append4_t[0];
block1[ 5] = append4_t[1];
block1[ 6] = append4_t[2];
block1[ 7] = append4_t[3];
break;
case 5: block0[ 5] |= append0_t[0];
block0[ 6] = append0_t[1];
block0[ 7] = append0_t[2];
block0[ 8] = append0_t[3];
block0[ 9] = append1_t[0];
block0[10] = append1_t[1];
block0[11] = append1_t[2];
block0[12] = append1_t[3];
block0[13] = append2_t[0];
block0[14] = append2_t[1];
block0[15] = append2_t[2];
block1[ 0] = append2_t[3];
block1[ 1] = append3_t[0];
block1[ 2] = append3_t[1];
block1[ 3] = append3_t[2];
block1[ 4] = append3_t[3];
block1[ 5] = append4_t[0];
block1[ 6] = append4_t[1];
block1[ 7] = append4_t[2];
block1[ 8] = append4_t[3];
break;
case 6: block0[ 6] |= append0_t[0];
block0[ 7] = append0_t[1];
block0[ 8] = append0_t[2];
block0[ 9] = append0_t[3];
block0[10] = append1_t[0];
block0[11] = append1_t[1];
block0[12] = append1_t[2];
block0[13] = append1_t[3];
block0[14] = append2_t[0];
block0[15] = append2_t[1];
block1[ 0] = append2_t[2];
block1[ 1] = append2_t[3];
block1[ 2] = append3_t[0];
block1[ 3] = append3_t[1];
block1[ 4] = append3_t[2];
block1[ 5] = append3_t[3];
block1[ 6] = append4_t[0];
block1[ 7] = append4_t[1];
block1[ 8] = append4_t[2];
block1[ 9] = append4_t[3];
break;
case 7: block0[ 7] |= append0_t[0];
block0[ 8] = append0_t[1];
block0[ 9] = append0_t[2];
block0[10] = append0_t[3];
block0[11] = append1_t[0];
block0[12] = append1_t[1];
block0[13] = append1_t[2];
block0[14] = append1_t[3];
block0[15] = append2_t[0];
block1[ 0] = append2_t[1];
block1[ 1] = append2_t[2];
block1[ 2] = append2_t[3];
block1[ 3] = append3_t[0];
block1[ 4] = append3_t[1];
block1[ 5] = append3_t[2];
block1[ 6] = append3_t[3];
block1[ 7] = append4_t[0];
block1[ 8] = append4_t[1];
block1[ 9] = append4_t[2];
block1[10] = append4_t[3];
break;
case 8: block0[ 8] |= append0_t[0];
block0[ 9] = append0_t[1];
block0[10] = append0_t[2];
block0[11] = append0_t[3];
block0[12] = append1_t[0];
block0[13] = append1_t[1];
block0[14] = append1_t[2];
block0[15] = append1_t[3];
block1[ 0] = append2_t[0];
block1[ 1] = append2_t[1];
block1[ 2] = append2_t[2];
block1[ 3] = append2_t[3];
block1[ 4] = append3_t[0];
block1[ 5] = append3_t[1];
block1[ 6] = append3_t[2];
block1[ 7] = append3_t[3];
block1[ 8] = append4_t[0];
block1[ 9] = append4_t[1];
block1[10] = append4_t[2];
block1[11] = append4_t[3];
break;
case 9: block0[ 9] |= append0_t[0];
block0[10] = append0_t[1];
block0[11] = append0_t[2];
block0[12] = append0_t[3];
block0[13] = append1_t[0];
block0[14] = append1_t[1];
block0[15] = append1_t[2];
block1[ 0] = append1_t[3];
block1[ 1] = append2_t[0];
block1[ 2] = append2_t[1];
block1[ 3] = append2_t[2];
block1[ 4] = append2_t[3];
block1[ 5] = append3_t[0];
block1[ 6] = append3_t[1];
block1[ 7] = append3_t[2];
block1[ 8] = append3_t[3];
block1[ 9] = append4_t[0];
block1[10] = append4_t[1];
block1[11] = append4_t[2];
block1[12] = append4_t[3];
break;
case 10: block0[10] |= append0_t[0];
block0[11] = append0_t[1];
block0[12] = append0_t[2];
block0[13] = append0_t[3];
block0[14] = append1_t[0];
block0[15] = append1_t[1];
block1[ 0] = append1_t[2];
block1[ 1] = append1_t[3];
block1[ 2] = append2_t[0];
block1[ 3] = append2_t[1];
block1[ 4] = append2_t[2];
block1[ 5] = append2_t[3];
block1[ 6] = append3_t[0];
block1[ 7] = append3_t[1];
block1[ 8] = append3_t[2];
block1[ 9] = append3_t[3];
block1[10] = append4_t[0];
block1[11] = append4_t[1];
block1[12] = append4_t[2];
block1[13] = append4_t[3];
break;
case 11: block0[11] |= append0_t[0];
block0[12] = append0_t[1];
block0[13] = append0_t[2];
block0[14] = append0_t[3];
block0[15] = append1_t[0];
block1[ 0] = append1_t[1];
block1[ 1] = append1_t[2];
block1[ 2] = append1_t[3];
block1[ 3] = append2_t[0];
block1[ 4] = append2_t[1];
block1[ 5] = append2_t[2];
block1[ 6] = append2_t[3];
block1[ 7] = append3_t[0];
block1[ 8] = append3_t[1];
block1[ 9] = append3_t[2];
block1[10] = append3_t[3];
block1[11] = append4_t[0];
block1[12] = append4_t[1];
block1[13] = append4_t[2];
block1[14] = append4_t[3];
break;
case 12: block0[12] |= append0_t[0];
block0[13] = append0_t[1];
block0[14] = append0_t[2];
block0[15] = append0_t[3];
block1[ 0] = append1_t[0];
block1[ 1] = append1_t[1];
block1[ 2] = append1_t[2];
block1[ 3] = append1_t[3];
block1[ 4] = append2_t[0];
block1[ 5] = append2_t[1];
block1[ 6] = append2_t[2];
block1[ 7] = append2_t[3];
block1[ 8] = append3_t[0];
block1[ 9] = append3_t[1];
block1[10] = append3_t[2];
block1[11] = append3_t[3];
block1[12] = append4_t[0];
block1[13] = append4_t[1];
block1[14] = append4_t[2];
block1[15] = append4_t[3];
break;
case 13: block0[13] |= append0_t[0];
block0[14] = append0_t[1];
block0[15] = append0_t[2];
block1[ 0] = append0_t[3];
block1[ 1] = append1_t[0];
block1[ 2] = append1_t[1];
block1[ 3] = append1_t[2];
block1[ 4] = append1_t[3];
block1[ 5] = append2_t[0];
block1[ 6] = append2_t[1];
block1[ 7] = append2_t[2];
block1[ 8] = append2_t[3];
block1[ 9] = append3_t[0];
block1[10] = append3_t[1];
block1[11] = append3_t[2];
block1[12] = append3_t[3];
block1[13] = append4_t[0];
block1[14] = append4_t[1];
block1[15] = append4_t[2];
break;
case 14: block0[14] |= append0_t[0];
block0[15] = append0_t[1];
block1[ 0] = append0_t[2];
block1[ 1] = append0_t[3];
block1[ 2] = append1_t[0];
block1[ 3] = append1_t[1];
block1[ 4] = append1_t[2];
block1[ 5] = append1_t[3];
block1[ 6] = append2_t[0];
block1[ 7] = append2_t[1];
block1[ 8] = append2_t[2];
block1[ 9] = append2_t[3];
block1[10] = append3_t[0];
block1[11] = append3_t[1];
block1[12] = append3_t[2];
block1[13] = append3_t[3];
block1[14] = append4_t[0];
block1[15] = append4_t[1];
break;
case 15: block0[15] |= append0_t[0];
block1[ 0] = append0_t[1];
block1[ 1] = append0_t[2];
block1[ 2] = append0_t[3];
block1[ 3] = append1_t[1];
block1[ 4] = append1_t[2];
block1[ 5] = append1_t[3];
block1[ 6] = append1_t[0];
block1[ 7] = append2_t[0];
block1[ 8] = append2_t[1];
block1[ 9] = append2_t[2];
block1[10] = append2_t[3];
block1[11] = append3_t[0];
block1[12] = append3_t[1];
block1[13] = append3_t[2];
block1[14] = append3_t[3];
block1[15] = append4_t[0];
break;
case 16: block1[ 0] |= append0_t[0];
block1[ 1] = append0_t[1];
block1[ 2] = append0_t[2];
block1[ 3] = append0_t[3];
block1[ 4] = append1_t[0];
block1[ 5] = append1_t[1];
block1[ 6] = append1_t[2];
block1[ 7] = append1_t[3];
block1[ 8] = append2_t[0];
block1[ 9] = append2_t[1];
block1[10] = append2_t[2];
block1[11] = append2_t[3];
block1[12] = append3_t[0];
block1[13] = append3_t[1];
block1[14] = append3_t[2];
block1[15] = append3_t[3];
break;
case 17: block1[ 1] |= append0_t[0];
block1[ 2] = append0_t[1];
block1[ 3] = append0_t[2];
block1[ 4] = append0_t[3];
block1[ 5] = append1_t[0];
block1[ 6] = append1_t[1];
block1[ 7] = append1_t[2];
block1[ 8] = append1_t[3];
block1[ 9] = append2_t[0];
block1[10] = append2_t[1];
block1[11] = append2_t[2];
block1[12] = append2_t[3];
block1[13] = append3_t[0];
block1[14] = append3_t[1];
block1[15] = append3_t[2];
break;
case 18: block1[ 2] |= append0_t[0];
block1[ 3] = append0_t[1];
block1[ 4] = append0_t[2];
block1[ 5] = append0_t[3];
block1[ 6] = append1_t[0];
block1[ 7] = append1_t[1];
block1[ 8] = append1_t[2];
block1[ 9] = append1_t[3];
block1[10] = append2_t[0];
block1[11] = append2_t[1];
block1[12] = append2_t[2];
block1[13] = append2_t[3];
block1[14] = append3_t[0];
block1[15] = append3_t[1];
break;
case 19: block1[ 3] |= append0_t[0];
block1[ 4] = append0_t[1];
block1[ 5] = append0_t[2];
block1[ 6] = append0_t[3];
block1[ 7] = append1_t[0];
block1[ 8] = append1_t[1];
block1[ 9] = append1_t[2];
block1[10] = append1_t[3];
block1[11] = append2_t[0];
block1[12] = append2_t[1];
block1[13] = append2_t[2];
block1[14] = append2_t[3];
block1[15] = append3_t[0];
break;
case 20: block1[ 4] |= append0_t[0];
block1[ 5] = append0_t[1];
block1[ 6] = append0_t[2];
block1[ 7] = append0_t[3];
block1[ 8] = append1_t[0];
block1[ 9] = append1_t[1];
block1[10] = append1_t[2];
block1[11] = append1_t[3];
block1[12] = append2_t[0];
block1[13] = append2_t[1];
block1[14] = append2_t[2];
block1[15] = append2_t[3];
break;
case 21: block1[ 5] |= append0_t[0];
block1[ 6] = append0_t[1];
block1[ 7] = append0_t[2];
block1[ 8] = append0_t[3];
block1[ 9] = append1_t[0];
block1[10] = append1_t[1];
block1[11] = append1_t[2];
block1[12] = append1_t[3];
block1[13] = append2_t[0];
block1[14] = append2_t[1];
block1[15] = append2_t[2];
break;
case 22: block1[ 6] |= append0_t[0];
block1[ 7] = append0_t[1];
block1[ 8] = append0_t[2];
block1[ 9] = append0_t[3];
block1[10] = append1_t[0];
block1[11] = append1_t[1];
block1[12] = append1_t[2];
block1[13] = append1_t[3];
block1[14] = append2_t[0];
block1[15] = append2_t[1];
break;
case 23: block1[ 7] |= append0_t[0];
block1[ 8] = append0_t[1];
block1[ 9] = append0_t[2];
block1[10] = append0_t[3];
block1[11] = append1_t[0];
block1[12] = append1_t[1];
block1[13] = append1_t[2];
block1[14] = append1_t[3];
block1[15] = append2_t[0];
break;
case 24: block1[ 8] |= append0_t[0];
block1[ 9] = append0_t[1];
block1[10] = append0_t[2];
block1[11] = append0_t[3];
block1[12] = append1_t[0];
block1[13] = append1_t[1];
block1[14] = append1_t[2];
block1[15] = append1_t[3];
break;
case 25: block1[ 9] |= append0_t[0];
block1[10] = append0_t[1];
block1[11] = append0_t[2];
block1[12] = append0_t[3];
block1[13] = append1_t[0];
block1[14] = append1_t[1];
block1[15] = append1_t[2];
break;
case 26: block1[10] |= append0_t[0];
block1[11] = append0_t[1];
block1[12] = append0_t[2];
block1[13] = append0_t[3];
block1[14] = append1_t[0];
block1[15] = append1_t[1];
break;
case 27: block1[11] |= append0_t[0];
block1[12] = append0_t[1];
block1[13] = append0_t[2];
block1[14] = append0_t[3];
block1[15] = append1_t[0];
break;
case 28: block1[12] |= append0_t[0];
block1[13] = append0_t[1];
block1[14] = append0_t[2];
block1[15] = append0_t[3];
break;
case 29: block1[13] |= append0_t[0];
block1[14] = append0_t[1];
block1[15] = append0_t[2];
break;
case 30: block1[14] |= append0_t[0];
block1[15] = append0_t[1];
break;
}
u32 new_len = block_len + append_len;
return new_len;
}
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
__kernel void m11400_m04 (__global pw_t *pws, __global kernel_rule_t *rules_buf, __global comb_t *combs_buf, __global bf_t *bfs_buf, __global void *tmps, __global void *hooks, __global u32 *bitmaps_buf_s1_a, __global u32 *bitmaps_buf_s1_b, __global u32 *bitmaps_buf_s1_c, __global u32 *bitmaps_buf_s1_d, __global u32 *bitmaps_buf_s2_a, __global u32 *bitmaps_buf_s2_b, __global u32 *bitmaps_buf_s2_c, __global u32 *bitmaps_buf_s2_d, __global plain_t *plains_buf, __global digest_t *digests_buf, __global u32 *hashes_shown, __global salt_t *salt_bufs, __global sip_t *esalt_bufs, __global u32 *d_return_buf, __global u32 *d_scryptV_buf, const u32 bitmap_mask, const u32 bitmap_shift1, const u32 bitmap_shift2, const u32 salt_pos, const u32 loop_pos, const u32 loop_cnt, const u32 il_cnt, const u32 digests_cnt, const u32 digests_offset, const u32 combs_mode, const u32 gid_max)
Initial commit
2015-12-04 14:47:52 +00:00
{
/**
* modifier
*/
Upgrade kernel to support dynamic local work sizes
2016-01-19 15:06:03 +00:00
const u32 gid = get_global_id (0);
Initial commit
2015-12-04 14:47:52 +00:00
const u32 lid = get_local_id (0);
Upgrade kernel to support dynamic local work sizes
2016-01-19 15:06:03 +00:00
const u32 lsz = get_local_size (0);
Initial commit
2015-12-04 14:47:52 +00:00
/**
Upgrade kernel to support dynamic local work sizes
2016-01-19 15:06:03 +00:00
* bin2asc table
Initial commit
2015-12-04 14:47:52 +00:00
*/
Upgrade kernel to support dynamic local work sizes
2016-01-19 15:06:03 +00:00
__local u32 l_bin2asc[256];
for (u32 i = lid; i < 256; i += lsz)
{
const u32 i0 = (i >> 0) & 15;
const u32 i1 = (i >> 4) & 15;
l_bin2asc[i] = ((i0 < 10) ? '0' + i0 : 'a' - 10 + i0) << 8
| ((i1 < 10) ? '0' + i1 : 'a' - 10 + i1) << 0;
}
barrier (CLK_LOCAL_MEM_FENCE);
if (gid >= gid_max) return;
/**
* base
*/
Initial commit
2015-12-04 14:47:52 +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
u32 pw_buf0[4];
Initial commit
2015-12-04 14:47:52 +00:00
pw_buf0[0] = pws[gid].i[ 0];
pw_buf0[1] = pws[gid].i[ 1];
pw_buf0[2] = pws[gid].i[ 2];
pw_buf0[3] = pws[gid].i[ 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
u32 pw_buf1[4];
Initial commit
2015-12-04 14:47:52 +00:00
pw_buf1[0] = pws[gid].i[ 4];
pw_buf1[1] = pws[gid].i[ 5];
pw_buf1[2] = pws[gid].i[ 6];
pw_buf1[3] = pws[gid].i[ 7];
const u32 pw_len = pws[gid].pw_len;
/**
* salt
*/
const u32 salt_len = esalt_bufs[salt_pos].salt_len; // not a bug, we need to get it from the esalt
u32 salt_buf0[16];
salt_buf0[ 0] = esalt_bufs[salt_pos].salt_buf[ 0];
salt_buf0[ 1] = esalt_bufs[salt_pos].salt_buf[ 1];
salt_buf0[ 2] = esalt_bufs[salt_pos].salt_buf[ 2];
salt_buf0[ 3] = esalt_bufs[salt_pos].salt_buf[ 3];
salt_buf0[ 4] = esalt_bufs[salt_pos].salt_buf[ 4];
salt_buf0[ 5] = esalt_bufs[salt_pos].salt_buf[ 5];
salt_buf0[ 6] = esalt_bufs[salt_pos].salt_buf[ 6];
salt_buf0[ 7] = esalt_bufs[salt_pos].salt_buf[ 7];
salt_buf0[ 8] = esalt_bufs[salt_pos].salt_buf[ 8];
salt_buf0[ 9] = esalt_bufs[salt_pos].salt_buf[ 9];
salt_buf0[10] = esalt_bufs[salt_pos].salt_buf[10];
salt_buf0[11] = esalt_bufs[salt_pos].salt_buf[11];
salt_buf0[12] = esalt_bufs[salt_pos].salt_buf[12];
salt_buf0[13] = esalt_bufs[salt_pos].salt_buf[13];
salt_buf0[14] = esalt_bufs[salt_pos].salt_buf[14];
salt_buf0[15] = esalt_bufs[salt_pos].salt_buf[15];
u32 salt_buf1[16];
salt_buf1[ 0] = esalt_bufs[salt_pos].salt_buf[16];
salt_buf1[ 1] = esalt_bufs[salt_pos].salt_buf[17];
salt_buf1[ 2] = esalt_bufs[salt_pos].salt_buf[18];
salt_buf1[ 3] = esalt_bufs[salt_pos].salt_buf[19];
salt_buf1[ 4] = esalt_bufs[salt_pos].salt_buf[20];
salt_buf1[ 5] = esalt_bufs[salt_pos].salt_buf[21];
salt_buf1[ 6] = esalt_bufs[salt_pos].salt_buf[22];
salt_buf1[ 7] = esalt_bufs[salt_pos].salt_buf[23];
salt_buf1[ 8] = esalt_bufs[salt_pos].salt_buf[24];
salt_buf1[ 9] = esalt_bufs[salt_pos].salt_buf[25];
salt_buf1[10] = esalt_bufs[salt_pos].salt_buf[26];
salt_buf1[11] = esalt_bufs[salt_pos].salt_buf[27];
salt_buf1[12] = esalt_bufs[salt_pos].salt_buf[28];
salt_buf1[13] = esalt_bufs[salt_pos].salt_buf[29];
salt_buf1[14] = 0;
salt_buf1[15] = 0;
/**
* esalt
*/
const u32 esalt_len = esalt_bufs[salt_pos].esalt_len;
u32 esalt_buf0[16];
esalt_buf0[ 0] = esalt_bufs[salt_pos].esalt_buf[ 0];
esalt_buf0[ 1] = esalt_bufs[salt_pos].esalt_buf[ 1];
esalt_buf0[ 2] = esalt_bufs[salt_pos].esalt_buf[ 2];
esalt_buf0[ 3] = esalt_bufs[salt_pos].esalt_buf[ 3];
esalt_buf0[ 4] = esalt_bufs[salt_pos].esalt_buf[ 4];
esalt_buf0[ 5] = esalt_bufs[salt_pos].esalt_buf[ 5];
esalt_buf0[ 6] = esalt_bufs[salt_pos].esalt_buf[ 6];
esalt_buf0[ 7] = esalt_bufs[salt_pos].esalt_buf[ 7];
esalt_buf0[ 8] = esalt_bufs[salt_pos].esalt_buf[ 8];
esalt_buf0[ 9] = esalt_bufs[salt_pos].esalt_buf[ 9];
esalt_buf0[10] = esalt_bufs[salt_pos].esalt_buf[10];
esalt_buf0[11] = esalt_bufs[salt_pos].esalt_buf[11];
esalt_buf0[12] = esalt_bufs[salt_pos].esalt_buf[12];
esalt_buf0[13] = esalt_bufs[salt_pos].esalt_buf[13];
esalt_buf0[14] = esalt_bufs[salt_pos].esalt_buf[14];
esalt_buf0[15] = esalt_bufs[salt_pos].esalt_buf[15];
u32 esalt_buf1[16];
esalt_buf1[ 0] = esalt_bufs[salt_pos].esalt_buf[16];
esalt_buf1[ 1] = esalt_bufs[salt_pos].esalt_buf[17];
esalt_buf1[ 2] = esalt_bufs[salt_pos].esalt_buf[18];
esalt_buf1[ 3] = esalt_bufs[salt_pos].esalt_buf[19];
esalt_buf1[ 4] = esalt_bufs[salt_pos].esalt_buf[20];
esalt_buf1[ 5] = esalt_bufs[salt_pos].esalt_buf[21];
esalt_buf1[ 6] = esalt_bufs[salt_pos].esalt_buf[22];
esalt_buf1[ 7] = esalt_bufs[salt_pos].esalt_buf[23];
esalt_buf1[ 8] = esalt_bufs[salt_pos].esalt_buf[24];
esalt_buf1[ 9] = esalt_bufs[salt_pos].esalt_buf[25];
esalt_buf1[10] = esalt_bufs[salt_pos].esalt_buf[26];
esalt_buf1[11] = esalt_bufs[salt_pos].esalt_buf[27];
esalt_buf1[12] = esalt_bufs[salt_pos].esalt_buf[28];
esalt_buf1[13] = esalt_bufs[salt_pos].esalt_buf[29];
esalt_buf1[14] = esalt_bufs[salt_pos].esalt_buf[30];
esalt_buf1[15] = esalt_bufs[salt_pos].esalt_buf[31];
u32 esalt_buf2[16];
esalt_buf2[ 0] = esalt_bufs[salt_pos].esalt_buf[32];
esalt_buf2[ 1] = esalt_bufs[salt_pos].esalt_buf[33];
esalt_buf2[ 2] = esalt_bufs[salt_pos].esalt_buf[34];
esalt_buf2[ 3] = esalt_bufs[salt_pos].esalt_buf[35];
esalt_buf2[ 4] = esalt_bufs[salt_pos].esalt_buf[36];
esalt_buf2[ 5] = esalt_bufs[salt_pos].esalt_buf[37];
esalt_buf2[ 6] = 0;
esalt_buf2[ 7] = 0;
esalt_buf2[ 8] = 0;
esalt_buf2[ 9] = 0;
esalt_buf2[10] = 0;
esalt_buf2[11] = 0;
esalt_buf2[12] = 0;
esalt_buf2[13] = 0;
esalt_buf2[14] = 0;
esalt_buf2[15] = 0;
const u32 digest_esalt_len = 32 + esalt_len;
const u32 remaining_bytes = digest_esalt_len + 1 - 64; // substract previous block
/**
* loop
*/
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
for (u32 il_pos = 0; il_pos < il_cnt; il_pos += VECT_SIZE)
Initial commit
2015-12-04 14:47:52 +00:00
{
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
u32x w0[4] = { 0 };
u32x w1[4] = { 0 };
u32x w2[4] = { 0 };
u32x w3[4] = { 0 };
Initial commit
2015-12-04 14:47:52 +00:00
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
const u32x out_len = apply_rules_vect (pw_buf0, pw_buf1, pw_len, rules_buf, il_pos, w0, w1);
Initial commit
2015-12-04 14:47:52 +00:00
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
append_0x80_2x4_VV (w0, w1, out_len);
Initial commit
2015-12-04 14:47:52 +00:00
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
const u32x pw_salt_len = salt_len + out_len;
Initial commit
2015-12-04 14:47:52 +00:00
/*
* HA1 = md5 ($salt . $pass)
*/
// append the pass to the salt
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
u32x block0[16];
Initial commit
2015-12-04 14:47:52 +00:00
block0[ 0] = salt_buf0[ 0];
block0[ 1] = salt_buf0[ 1];
block0[ 2] = salt_buf0[ 2];
block0[ 3] = salt_buf0[ 3];
block0[ 4] = salt_buf0[ 4];
block0[ 5] = salt_buf0[ 5];
block0[ 6] = salt_buf0[ 6];
block0[ 7] = salt_buf0[ 7];
block0[ 8] = salt_buf0[ 8];
block0[ 9] = salt_buf0[ 9];
block0[10] = salt_buf0[10];
block0[11] = salt_buf0[11];
block0[12] = salt_buf0[12];
block0[13] = salt_buf0[13];
block0[14] = salt_buf0[14];
block0[15] = salt_buf0[15];
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
u32x block1[16];
Initial commit
2015-12-04 14:47:52 +00:00
block1[ 0] = salt_buf1[ 0];
block1[ 1] = salt_buf1[ 1];
block1[ 2] = salt_buf1[ 2];
block1[ 3] = salt_buf1[ 3];
block1[ 4] = salt_buf1[ 4];
block1[ 5] = salt_buf1[ 5];
block1[ 6] = salt_buf1[ 6];
block1[ 7] = salt_buf1[ 7];
block1[ 8] = salt_buf1[ 8];
block1[ 9] = salt_buf1[ 9];
block1[10] = salt_buf1[10];
block1[11] = salt_buf1[11];
block1[12] = salt_buf1[12];
block1[13] = salt_buf1[13];
block1[14] = salt_buf1[14];
block1[15] = salt_buf1[15];
u32 block_len = 0;
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
block_len = memcat32_VV (block0, block1, salt_len, w0, w1, w2, w3, out_len);
Initial commit
2015-12-04 14:47:52 +00:00
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
u32x w0_t[4];
Initial commit
2015-12-04 14:47:52 +00:00
w0_t[0] = block0[ 0];
w0_t[1] = block0[ 1];
w0_t[2] = block0[ 2];
w0_t[3] = block0[ 3];
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
u32x w1_t[4];
Initial commit
2015-12-04 14:47:52 +00:00
w1_t[0] = block0[ 4];
w1_t[1] = block0[ 5];
w1_t[2] = block0[ 6];
w1_t[3] = block0[ 7];
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
u32x w2_t[4];
Initial commit
2015-12-04 14:47:52 +00:00
w2_t[0] = block0[ 8];
w2_t[1] = block0[ 9];
w2_t[2] = block0[10];
w2_t[3] = block0[11];
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
u32x w3_t[4];
Initial commit
2015-12-04 14:47:52 +00:00
w3_t[0] = block0[12];
w3_t[1] = block0[13];
w3_t[2] = block0[14];
w3_t[3] = block0[15];
if (block_len < 56)
{
w3_t[2] = pw_salt_len * 8;
}
// md5
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
u32x a = MD5M_A;
u32x b = MD5M_B;
u32x c = MD5M_C;
u32x d = MD5M_D;
Initial commit
2015-12-04 14:47:52 +00:00
MD5_STEP (MD5_Fo, a, b, c, d, w0_t[0], MD5C00, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w0_t[1], MD5C01, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w0_t[2], MD5C02, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w0_t[3], MD5C03, MD5S03);
MD5_STEP (MD5_Fo, a, b, c, d, w1_t[0], MD5C04, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w1_t[1], MD5C05, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w1_t[2], MD5C06, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w1_t[3], MD5C07, MD5S03);
MD5_STEP (MD5_Fo, a, b, c, d, w2_t[0], MD5C08, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w2_t[1], MD5C09, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w2_t[2], MD5C0a, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w2_t[3], MD5C0b, MD5S03);
MD5_STEP (MD5_Fo, a, b, c, d, w3_t[0], MD5C0c, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w3_t[1], MD5C0d, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w3_t[2], MD5C0e, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w3_t[3], MD5C0f, MD5S03);
MD5_STEP (MD5_Go, a, b, c, d, w0_t[1], MD5C10, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w1_t[2], MD5C11, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w2_t[3], MD5C12, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w0_t[0], MD5C13, MD5S13);
MD5_STEP (MD5_Go, a, b, c, d, w1_t[1], MD5C14, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w2_t[2], MD5C15, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w3_t[3], MD5C16, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w1_t[0], MD5C17, MD5S13);
MD5_STEP (MD5_Go, a, b, c, d, w2_t[1], MD5C18, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w3_t[2], MD5C19, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w0_t[3], MD5C1a, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w2_t[0], MD5C1b, MD5S13);
MD5_STEP (MD5_Go, a, b, c, d, w3_t[1], MD5C1c, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w0_t[2], MD5C1d, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w1_t[3], MD5C1e, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w3_t[0], MD5C1f, MD5S13);
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 17:38:34 +00:00
MD5_STEP (MD5_H , a, b, c, d, w1_t[1], MD5C20, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w2_t[0], MD5C21, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w2_t[3], MD5C22, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w3_t[2], MD5C23, MD5S23);
MD5_STEP (MD5_H , a, b, c, d, w0_t[1], MD5C24, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w1_t[0], MD5C25, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w1_t[3], MD5C26, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w2_t[2], MD5C27, MD5S23);
MD5_STEP (MD5_H , a, b, c, d, w3_t[1], MD5C28, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w0_t[0], MD5C29, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w0_t[3], MD5C2a, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w1_t[2], MD5C2b, MD5S23);
MD5_STEP (MD5_H , a, b, c, d, w2_t[1], MD5C2c, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w3_t[0], MD5C2d, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w3_t[3], MD5C2e, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w0_t[2], MD5C2f, MD5S23);
Initial commit
2015-12-04 14:47:52 +00:00
MD5_STEP (MD5_I , a, b, c, d, w0_t[0], MD5C30, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w1_t[3], MD5C31, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w3_t[2], MD5C32, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w1_t[1], MD5C33, MD5S33);
MD5_STEP (MD5_I , a, b, c, d, w3_t[0], MD5C34, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w0_t[3], MD5C35, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w2_t[2], MD5C36, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w0_t[1], MD5C37, MD5S33);
MD5_STEP (MD5_I , a, b, c, d, w2_t[0], MD5C38, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w3_t[3], MD5C39, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w1_t[2], MD5C3a, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w3_t[1], MD5C3b, MD5S33);
MD5_STEP (MD5_I , a, b, c, d, w1_t[0], MD5C3c, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w2_t[3], MD5C3d, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w0_t[2], MD5C3e, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w2_t[1], MD5C3f, MD5S33);
a += MD5M_A;
b += MD5M_B;
c += MD5M_C;
d += MD5M_D;
if (block_len > 55)
{
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
u32x r_a = a;
u32x r_b = b;
u32x r_c = c;
u32x r_d = d;
Initial commit
2015-12-04 14:47:52 +00:00
w0_t[0] = block1[ 0];
w0_t[1] = block1[ 1];
w0_t[2] = block1[ 2];
w0_t[3] = block1[ 3];
w1_t[0] = block1[ 4];
w1_t[1] = block1[ 5];
w1_t[2] = block1[ 6];
w1_t[3] = block1[ 7];
w2_t[0] = block1[ 8];
w2_t[1] = block1[ 9];
w2_t[2] = block1[10];
w2_t[3] = block1[11];
w3_t[0] = block1[12];
w3_t[1] = block1[13];
w3_t[2] = pw_salt_len * 8;
w3_t[3] = 0;
MD5_STEP (MD5_Fo, a, b, c, d, w0_t[0], MD5C00, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w0_t[1], MD5C01, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w0_t[2], MD5C02, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w0_t[3], MD5C03, MD5S03);
MD5_STEP (MD5_Fo, a, b, c, d, w1_t[0], MD5C04, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w1_t[1], MD5C05, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w1_t[2], MD5C06, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w1_t[3], MD5C07, MD5S03);
MD5_STEP (MD5_Fo, a, b, c, d, w2_t[0], MD5C08, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w2_t[1], MD5C09, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w2_t[2], MD5C0a, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w2_t[3], MD5C0b, MD5S03);
MD5_STEP (MD5_Fo, a, b, c, d, w3_t[0], MD5C0c, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w3_t[1], MD5C0d, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w3_t[2], MD5C0e, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w3_t[3], MD5C0f, MD5S03);
MD5_STEP (MD5_Go, a, b, c, d, w0_t[1], MD5C10, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w1_t[2], MD5C11, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w2_t[3], MD5C12, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w0_t[0], MD5C13, MD5S13);
MD5_STEP (MD5_Go, a, b, c, d, w1_t[1], MD5C14, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w2_t[2], MD5C15, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w3_t[3], MD5C16, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w1_t[0], MD5C17, MD5S13);
MD5_STEP (MD5_Go, a, b, c, d, w2_t[1], MD5C18, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w3_t[2], MD5C19, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w0_t[3], MD5C1a, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w2_t[0], MD5C1b, MD5S13);
MD5_STEP (MD5_Go, a, b, c, d, w3_t[1], MD5C1c, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w0_t[2], MD5C1d, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w1_t[3], MD5C1e, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w3_t[0], MD5C1f, MD5S13);
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 17:38:34 +00:00
MD5_STEP (MD5_H , a, b, c, d, w1_t[1], MD5C20, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w2_t[0], MD5C21, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w2_t[3], MD5C22, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w3_t[2], MD5C23, MD5S23);
MD5_STEP (MD5_H , a, b, c, d, w0_t[1], MD5C24, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w1_t[0], MD5C25, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w1_t[3], MD5C26, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w2_t[2], MD5C27, MD5S23);
MD5_STEP (MD5_H , a, b, c, d, w3_t[1], MD5C28, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w0_t[0], MD5C29, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w0_t[3], MD5C2a, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w1_t[2], MD5C2b, MD5S23);
MD5_STEP (MD5_H , a, b, c, d, w2_t[1], MD5C2c, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w3_t[0], MD5C2d, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w3_t[3], MD5C2e, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w0_t[2], MD5C2f, MD5S23);
Initial commit
2015-12-04 14:47:52 +00:00
MD5_STEP (MD5_I , a, b, c, d, w0_t[0], MD5C30, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w1_t[3], MD5C31, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w3_t[2], MD5C32, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w1_t[1], MD5C33, MD5S33);
MD5_STEP (MD5_I , a, b, c, d, w3_t[0], MD5C34, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w0_t[3], MD5C35, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w2_t[2], MD5C36, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w0_t[1], MD5C37, MD5S33);
MD5_STEP (MD5_I , a, b, c, d, w2_t[0], MD5C38, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w3_t[3], MD5C39, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w1_t[2], MD5C3a, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w3_t[1], MD5C3b, MD5S33);
MD5_STEP (MD5_I , a, b, c, d, w1_t[0], MD5C3c, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w2_t[3], MD5C3d, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w0_t[2], MD5C3e, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w2_t[1], MD5C3f, MD5S33);
a += r_a;
b += r_b;
c += r_c;
d += r_d;
}
/*
* final = md5 ($HA1 . $esalt)
* we have at least 2 MD5 blocks/transformations, but we might need 3
*/
w0_t[0] = uint_to_hex_lower8 ((a >> 0) & 255) << 0
| uint_to_hex_lower8 ((a >> 8) & 255) << 16;
w0_t[1] = uint_to_hex_lower8 ((a >> 16) & 255) << 0
| uint_to_hex_lower8 ((a >> 24) & 255) << 16;
w0_t[2] = uint_to_hex_lower8 ((b >> 0) & 255) << 0
| uint_to_hex_lower8 ((b >> 8) & 255) << 16;
w0_t[3] = uint_to_hex_lower8 ((b >> 16) & 255) << 0
| uint_to_hex_lower8 ((b >> 24) & 255) << 16;
w1_t[0] = uint_to_hex_lower8 ((c >> 0) & 255) << 0
| uint_to_hex_lower8 ((c >> 8) & 255) << 16;
w1_t[1] = uint_to_hex_lower8 ((c >> 16) & 255) << 0
| uint_to_hex_lower8 ((c >> 24) & 255) << 16;
w1_t[2] = uint_to_hex_lower8 ((d >> 0) & 255) << 0
| uint_to_hex_lower8 ((d >> 8) & 255) << 16;
w1_t[3] = uint_to_hex_lower8 ((d >> 16) & 255) << 0
| uint_to_hex_lower8 ((d >> 24) & 255) << 16;
w2_t[0] = esalt_buf0[0];
w2_t[1] = esalt_buf0[1];
w2_t[2] = esalt_buf0[2];
w2_t[3] = esalt_buf0[3];
w3_t[0] = esalt_buf0[4];
w3_t[1] = esalt_buf0[5];
w3_t[2] = esalt_buf0[6];
w3_t[3] = esalt_buf0[7];
// md5
// 1st transform
a = MD5M_A;
b = MD5M_B;
c = MD5M_C;
d = MD5M_D;
MD5_STEP (MD5_Fo, a, b, c, d, w0_t[0], MD5C00, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w0_t[1], MD5C01, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w0_t[2], MD5C02, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w0_t[3], MD5C03, MD5S03);
MD5_STEP (MD5_Fo, a, b, c, d, w1_t[0], MD5C04, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w1_t[1], MD5C05, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w1_t[2], MD5C06, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w1_t[3], MD5C07, MD5S03);
MD5_STEP (MD5_Fo, a, b, c, d, w2_t[0], MD5C08, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w2_t[1], MD5C09, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w2_t[2], MD5C0a, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w2_t[3], MD5C0b, MD5S03);
MD5_STEP (MD5_Fo, a, b, c, d, w3_t[0], MD5C0c, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w3_t[1], MD5C0d, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w3_t[2], MD5C0e, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w3_t[3], MD5C0f, MD5S03);
MD5_STEP (MD5_Go, a, b, c, d, w0_t[1], MD5C10, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w1_t[2], MD5C11, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w2_t[3], MD5C12, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w0_t[0], MD5C13, MD5S13);
MD5_STEP (MD5_Go, a, b, c, d, w1_t[1], MD5C14, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w2_t[2], MD5C15, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w3_t[3], MD5C16, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w1_t[0], MD5C17, MD5S13);
MD5_STEP (MD5_Go, a, b, c, d, w2_t[1], MD5C18, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w3_t[2], MD5C19, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w0_t[3], MD5C1a, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w2_t[0], MD5C1b, MD5S13);
MD5_STEP (MD5_Go, a, b, c, d, w3_t[1], MD5C1c, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w0_t[2], MD5C1d, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w1_t[3], MD5C1e, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w3_t[0], MD5C1f, MD5S13);
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 17:38:34 +00:00
MD5_STEP (MD5_H , a, b, c, d, w1_t[1], MD5C20, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w2_t[0], MD5C21, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w2_t[3], MD5C22, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w3_t[2], MD5C23, MD5S23);
MD5_STEP (MD5_H , a, b, c, d, w0_t[1], MD5C24, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w1_t[0], MD5C25, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w1_t[3], MD5C26, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w2_t[2], MD5C27, MD5S23);
MD5_STEP (MD5_H , a, b, c, d, w3_t[1], MD5C28, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w0_t[0], MD5C29, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w0_t[3], MD5C2a, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w1_t[2], MD5C2b, MD5S23);
MD5_STEP (MD5_H , a, b, c, d, w2_t[1], MD5C2c, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w3_t[0], MD5C2d, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w3_t[3], MD5C2e, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w0_t[2], MD5C2f, MD5S23);
Initial commit
2015-12-04 14:47:52 +00:00
MD5_STEP (MD5_I , a, b, c, d, w0_t[0], MD5C30, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w1_t[3], MD5C31, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w3_t[2], MD5C32, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w1_t[1], MD5C33, MD5S33);
MD5_STEP (MD5_I , a, b, c, d, w3_t[0], MD5C34, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w0_t[3], MD5C35, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w2_t[2], MD5C36, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w0_t[1], MD5C37, MD5S33);
MD5_STEP (MD5_I , a, b, c, d, w2_t[0], MD5C38, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w3_t[3], MD5C39, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w1_t[2], MD5C3a, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w3_t[1], MD5C3b, MD5S33);
MD5_STEP (MD5_I , a, b, c, d, w1_t[0], MD5C3c, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w2_t[3], MD5C3d, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w0_t[2], MD5C3e, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w2_t[1], MD5C3f, MD5S33);
a += MD5M_A;
b += MD5M_B;
c += MD5M_C;
d += MD5M_D;
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
u32x r_a = a;
u32x r_b = b;
u32x r_c = c;
u32x r_d = d;
Initial commit
2015-12-04 14:47:52 +00:00
// 2nd transform
w0_t[0] = esalt_buf0[ 8];
w0_t[1] = esalt_buf0[ 9];
w0_t[2] = esalt_buf0[10];
w0_t[3] = esalt_buf0[11];
w1_t[0] = esalt_buf0[12];
w1_t[1] = esalt_buf0[13];
w1_t[2] = esalt_buf0[14];
w1_t[3] = esalt_buf0[15];
w2_t[0] = esalt_buf1[ 0];
w2_t[1] = esalt_buf1[ 1];
w2_t[2] = esalt_buf1[ 2];
w2_t[3] = esalt_buf1[ 3];
w3_t[0] = esalt_buf1[ 4];
w3_t[1] = esalt_buf1[ 5];
w3_t[2] = esalt_buf1[ 6];
w3_t[3] = esalt_buf1[ 7];
// it is the final block when no more than 55 bytes left
if (remaining_bytes < 56)
{
// it is the last block !
w3_t[2] = digest_esalt_len * 8;
}
MD5_STEP (MD5_Fo, a, b, c, d, w0_t[0], MD5C00, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w0_t[1], MD5C01, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w0_t[2], MD5C02, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w0_t[3], MD5C03, MD5S03);
MD5_STEP (MD5_Fo, a, b, c, d, w1_t[0], MD5C04, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w1_t[1], MD5C05, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w1_t[2], MD5C06, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w1_t[3], MD5C07, MD5S03);
MD5_STEP (MD5_Fo, a, b, c, d, w2_t[0], MD5C08, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w2_t[1], MD5C09, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w2_t[2], MD5C0a, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w2_t[3], MD5C0b, MD5S03);
MD5_STEP (MD5_Fo, a, b, c, d, w3_t[0], MD5C0c, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w3_t[1], MD5C0d, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w3_t[2], MD5C0e, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w3_t[3], MD5C0f, MD5S03);
MD5_STEP (MD5_Go, a, b, c, d, w0_t[1], MD5C10, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w1_t[2], MD5C11, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w2_t[3], MD5C12, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w0_t[0], MD5C13, MD5S13);
MD5_STEP (MD5_Go, a, b, c, d, w1_t[1], MD5C14, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w2_t[2], MD5C15, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w3_t[3], MD5C16, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w1_t[0], MD5C17, MD5S13);
MD5_STEP (MD5_Go, a, b, c, d, w2_t[1], MD5C18, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w3_t[2], MD5C19, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w0_t[3], MD5C1a, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w2_t[0], MD5C1b, MD5S13);
MD5_STEP (MD5_Go, a, b, c, d, w3_t[1], MD5C1c, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w0_t[2], MD5C1d, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w1_t[3], MD5C1e, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w3_t[0], MD5C1f, MD5S13);
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 17:38:34 +00:00
MD5_STEP (MD5_H , a, b, c, d, w1_t[1], MD5C20, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w2_t[0], MD5C21, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w2_t[3], MD5C22, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w3_t[2], MD5C23, MD5S23);
MD5_STEP (MD5_H , a, b, c, d, w0_t[1], MD5C24, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w1_t[0], MD5C25, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w1_t[3], MD5C26, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w2_t[2], MD5C27, MD5S23);
MD5_STEP (MD5_H , a, b, c, d, w3_t[1], MD5C28, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w0_t[0], MD5C29, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w0_t[3], MD5C2a, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w1_t[2], MD5C2b, MD5S23);
MD5_STEP (MD5_H , a, b, c, d, w2_t[1], MD5C2c, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w3_t[0], MD5C2d, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w3_t[3], MD5C2e, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w0_t[2], MD5C2f, MD5S23);
Initial commit
2015-12-04 14:47:52 +00:00
MD5_STEP (MD5_I , a, b, c, d, w0_t[0], MD5C30, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w1_t[3], MD5C31, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w3_t[2], MD5C32, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w1_t[1], MD5C33, MD5S33);
MD5_STEP (MD5_I , a, b, c, d, w3_t[0], MD5C34, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w0_t[3], MD5C35, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w2_t[2], MD5C36, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w0_t[1], MD5C37, MD5S33);
MD5_STEP (MD5_I , a, b, c, d, w2_t[0], MD5C38, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w3_t[3], MD5C39, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w1_t[2], MD5C3a, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w3_t[1], MD5C3b, MD5S33);
MD5_STEP (MD5_I , a, b, c, d, w1_t[0], MD5C3c, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w2_t[3], MD5C3d, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w0_t[2], MD5C3e, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w2_t[1], MD5C3f, MD5S33);
// sometimes (not rare at all) we need a third block :(
if (remaining_bytes > 55)
{
// this is for sure the final block
a += r_a;
b += r_b;
c += r_c;
d += r_d;
r_a = a;
r_b = b;
r_c = c;
r_d = d;
w0_t[0] = esalt_buf1[ 8];
w0_t[1] = esalt_buf1[ 9];
w0_t[2] = esalt_buf1[10];
w0_t[3] = esalt_buf1[11];
w1_t[0] = esalt_buf1[12];
w1_t[1] = esalt_buf1[13];
w1_t[2] = esalt_buf1[14];
w1_t[3] = esalt_buf1[15];
w2_t[0] = esalt_buf2[ 0];
w2_t[1] = esalt_buf2[ 1];
w2_t[2] = esalt_buf2[ 2];
w2_t[3] = esalt_buf2[ 3];
w3_t[0] = esalt_buf2[ 4];
w3_t[1] = esalt_buf2[ 5];
w3_t[2] = digest_esalt_len * 8;
w3_t[3] = 0;
MD5_STEP (MD5_Fo, a, b, c, d, w0_t[0], MD5C00, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w0_t[1], MD5C01, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w0_t[2], MD5C02, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w0_t[3], MD5C03, MD5S03);
MD5_STEP (MD5_Fo, a, b, c, d, w1_t[0], MD5C04, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w1_t[1], MD5C05, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w1_t[2], MD5C06, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w1_t[3], MD5C07, MD5S03);
MD5_STEP (MD5_Fo, a, b, c, d, w2_t[0], MD5C08, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w2_t[1], MD5C09, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w2_t[2], MD5C0a, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w2_t[3], MD5C0b, MD5S03);
MD5_STEP (MD5_Fo, a, b, c, d, w3_t[0], MD5C0c, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w3_t[1], MD5C0d, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w3_t[2], MD5C0e, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w3_t[3], MD5C0f, MD5S03);
MD5_STEP (MD5_Go, a, b, c, d, w0_t[1], MD5C10, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w1_t[2], MD5C11, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w2_t[3], MD5C12, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w0_t[0], MD5C13, MD5S13);
MD5_STEP (MD5_Go, a, b, c, d, w1_t[1], MD5C14, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w2_t[2], MD5C15, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w3_t[3], MD5C16, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w1_t[0], MD5C17, MD5S13);
MD5_STEP (MD5_Go, a, b, c, d, w2_t[1], MD5C18, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w3_t[2], MD5C19, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w0_t[3], MD5C1a, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w2_t[0], MD5C1b, MD5S13);
MD5_STEP (MD5_Go, a, b, c, d, w3_t[1], MD5C1c, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w0_t[2], MD5C1d, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w1_t[3], MD5C1e, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w3_t[0], MD5C1f, MD5S13);
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 17:38:34 +00:00
MD5_STEP (MD5_H , a, b, c, d, w1_t[1], MD5C20, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w2_t[0], MD5C21, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w2_t[3], MD5C22, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w3_t[2], MD5C23, MD5S23);
MD5_STEP (MD5_H , a, b, c, d, w0_t[1], MD5C24, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w1_t[0], MD5C25, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w1_t[3], MD5C26, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w2_t[2], MD5C27, MD5S23);
MD5_STEP (MD5_H , a, b, c, d, w3_t[1], MD5C28, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w0_t[0], MD5C29, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w0_t[3], MD5C2a, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w1_t[2], MD5C2b, MD5S23);
MD5_STEP (MD5_H , a, b, c, d, w2_t[1], MD5C2c, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w3_t[0], MD5C2d, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w3_t[3], MD5C2e, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w0_t[2], MD5C2f, MD5S23);
Initial commit
2015-12-04 14:47:52 +00:00
MD5_STEP (MD5_I , a, b, c, d, w0_t[0], MD5C30, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w1_t[3], MD5C31, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w3_t[2], MD5C32, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w1_t[1], MD5C33, MD5S33);
MD5_STEP (MD5_I , a, b, c, d, w3_t[0], MD5C34, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w0_t[3], MD5C35, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w2_t[2], MD5C36, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w0_t[1], MD5C37, MD5S33);
MD5_STEP (MD5_I , a, b, c, d, w2_t[0], MD5C38, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w3_t[3], MD5C39, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w1_t[2], MD5C3a, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w3_t[1], MD5C3b, MD5S33);
MD5_STEP (MD5_I , a, b, c, d, w1_t[0], MD5C3c, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w2_t[3], MD5C3d, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w0_t[2], MD5C3e, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w2_t[1], MD5C3f, MD5S33);
}
a += r_a;
b += r_b;
c += r_c;
d += r_d;
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
COMPARE_M_SIMD (a, d, c, b);
Initial commit
2015-12-04 14:47:52 +00:00
}
}
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
__kernel void m11400_m08 (__global pw_t *pws, __global kernel_rule_t *rules_buf, __global comb_t *combs_buf, __global bf_t *bfs_buf, __global void *tmps, __global void *hooks, __global u32 *bitmaps_buf_s1_a, __global u32 *bitmaps_buf_s1_b, __global u32 *bitmaps_buf_s1_c, __global u32 *bitmaps_buf_s1_d, __global u32 *bitmaps_buf_s2_a, __global u32 *bitmaps_buf_s2_b, __global u32 *bitmaps_buf_s2_c, __global u32 *bitmaps_buf_s2_d, __global plain_t *plains_buf, __global digest_t *digests_buf, __global u32 *hashes_shown, __global salt_t *salt_bufs, __global sip_t *esalt_bufs, __global u32 *d_return_buf, __global u32 *d_scryptV_buf, const u32 bitmap_mask, const u32 bitmap_shift1, const u32 bitmap_shift2, const u32 salt_pos, const u32 loop_pos, const u32 loop_cnt, const u32 il_cnt, const u32 digests_cnt, const u32 digests_offset, const u32 combs_mode, const u32 gid_max)
Initial commit
2015-12-04 14:47:52 +00:00
{
}
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
__kernel void m11400_m16 (__global pw_t *pws, __global kernel_rule_t *rules_buf, __global comb_t *combs_buf, __global bf_t *bfs_buf, __global void *tmps, __global void *hooks, __global u32 *bitmaps_buf_s1_a, __global u32 *bitmaps_buf_s1_b, __global u32 *bitmaps_buf_s1_c, __global u32 *bitmaps_buf_s1_d, __global u32 *bitmaps_buf_s2_a, __global u32 *bitmaps_buf_s2_b, __global u32 *bitmaps_buf_s2_c, __global u32 *bitmaps_buf_s2_d, __global plain_t *plains_buf, __global digest_t *digests_buf, __global u32 *hashes_shown, __global salt_t *salt_bufs, __global sip_t *esalt_bufs, __global u32 *d_return_buf, __global u32 *d_scryptV_buf, const u32 bitmap_mask, const u32 bitmap_shift1, const u32 bitmap_shift2, const u32 salt_pos, const u32 loop_pos, const u32 loop_cnt, const u32 il_cnt, const u32 digests_cnt, const u32 digests_offset, const u32 combs_mode, const u32 gid_max)
Initial commit
2015-12-04 14:47:52 +00:00
{
}
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
__kernel void m11400_s04 (__global pw_t *pws, __global kernel_rule_t *rules_buf, __global comb_t *combs_buf, __global bf_t *bfs_buf, __global void *tmps, __global void *hooks, __global u32 *bitmaps_buf_s1_a, __global u32 *bitmaps_buf_s1_b, __global u32 *bitmaps_buf_s1_c, __global u32 *bitmaps_buf_s1_d, __global u32 *bitmaps_buf_s2_a, __global u32 *bitmaps_buf_s2_b, __global u32 *bitmaps_buf_s2_c, __global u32 *bitmaps_buf_s2_d, __global plain_t *plains_buf, __global digest_t *digests_buf, __global u32 *hashes_shown, __global salt_t *salt_bufs, __global sip_t *esalt_bufs, __global u32 *d_return_buf, __global u32 *d_scryptV_buf, const u32 bitmap_mask, const u32 bitmap_shift1, const u32 bitmap_shift2, const u32 salt_pos, const u32 loop_pos, const u32 loop_cnt, const u32 il_cnt, const u32 digests_cnt, const u32 digests_offset, const u32 combs_mode, const u32 gid_max)
Initial commit
2015-12-04 14:47:52 +00:00
{
/**
* modifier
*/
Upgrade kernel to support dynamic local work sizes
2016-01-19 15:06:03 +00:00
const u32 gid = get_global_id (0);
Initial commit
2015-12-04 14:47:52 +00:00
const u32 lid = get_local_id (0);
Upgrade kernel to support dynamic local work sizes
2016-01-19 15:06:03 +00:00
const u32 lsz = get_local_size (0);
Initial commit
2015-12-04 14:47:52 +00:00
/**
Upgrade kernel to support dynamic local work sizes
2016-01-19 15:06:03 +00:00
* bin2asc table
Initial commit
2015-12-04 14:47:52 +00:00
*/
Upgrade kernel to support dynamic local work sizes
2016-01-19 15:06:03 +00:00
__local u32 l_bin2asc[256];
for (u32 i = lid; i < 256; i += lsz)
{
const u32 i0 = (i >> 0) & 15;
const u32 i1 = (i >> 4) & 15;
l_bin2asc[i] = ((i0 < 10) ? '0' + i0 : 'a' - 10 + i0) << 8
| ((i1 < 10) ? '0' + i1 : 'a' - 10 + i1) << 0;
}
barrier (CLK_LOCAL_MEM_FENCE);
if (gid >= gid_max) return;
/**
* base
*/
Initial commit
2015-12-04 14:47:52 +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
u32 pw_buf0[4];
Initial commit
2015-12-04 14:47:52 +00:00
pw_buf0[0] = pws[gid].i[ 0];
pw_buf0[1] = pws[gid].i[ 1];
pw_buf0[2] = pws[gid].i[ 2];
pw_buf0[3] = pws[gid].i[ 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
u32 pw_buf1[4];
Initial commit
2015-12-04 14:47:52 +00:00
pw_buf1[0] = pws[gid].i[ 4];
pw_buf1[1] = pws[gid].i[ 5];
pw_buf1[2] = pws[gid].i[ 6];
pw_buf1[3] = pws[gid].i[ 7];
const u32 pw_len = pws[gid].pw_len;
/**
* salt
*/
const u32 salt_len = esalt_bufs[salt_pos].salt_len; // not a bug, we need to get it from the esalt
u32 salt_buf0[16];
salt_buf0[ 0] = esalt_bufs[salt_pos].salt_buf[ 0];
salt_buf0[ 1] = esalt_bufs[salt_pos].salt_buf[ 1];
salt_buf0[ 2] = esalt_bufs[salt_pos].salt_buf[ 2];
salt_buf0[ 3] = esalt_bufs[salt_pos].salt_buf[ 3];
salt_buf0[ 4] = esalt_bufs[salt_pos].salt_buf[ 4];
salt_buf0[ 5] = esalt_bufs[salt_pos].salt_buf[ 5];
salt_buf0[ 6] = esalt_bufs[salt_pos].salt_buf[ 6];
salt_buf0[ 7] = esalt_bufs[salt_pos].salt_buf[ 7];
salt_buf0[ 8] = esalt_bufs[salt_pos].salt_buf[ 8];
salt_buf0[ 9] = esalt_bufs[salt_pos].salt_buf[ 9];
salt_buf0[10] = esalt_bufs[salt_pos].salt_buf[10];
salt_buf0[11] = esalt_bufs[salt_pos].salt_buf[11];
salt_buf0[12] = esalt_bufs[salt_pos].salt_buf[12];
salt_buf0[13] = esalt_bufs[salt_pos].salt_buf[13];
salt_buf0[14] = esalt_bufs[salt_pos].salt_buf[14];
salt_buf0[15] = esalt_bufs[salt_pos].salt_buf[15];
u32 salt_buf1[16];
salt_buf1[ 0] = esalt_bufs[salt_pos].salt_buf[16];
salt_buf1[ 1] = esalt_bufs[salt_pos].salt_buf[17];
salt_buf1[ 2] = esalt_bufs[salt_pos].salt_buf[18];
salt_buf1[ 3] = esalt_bufs[salt_pos].salt_buf[19];
salt_buf1[ 4] = esalt_bufs[salt_pos].salt_buf[20];
salt_buf1[ 5] = esalt_bufs[salt_pos].salt_buf[21];
salt_buf1[ 6] = esalt_bufs[salt_pos].salt_buf[22];
salt_buf1[ 7] = esalt_bufs[salt_pos].salt_buf[23];
salt_buf1[ 8] = esalt_bufs[salt_pos].salt_buf[24];
salt_buf1[ 9] = esalt_bufs[salt_pos].salt_buf[25];
salt_buf1[10] = esalt_bufs[salt_pos].salt_buf[26];
salt_buf1[11] = esalt_bufs[salt_pos].salt_buf[27];
salt_buf1[12] = esalt_bufs[salt_pos].salt_buf[28];
salt_buf1[13] = esalt_bufs[salt_pos].salt_buf[29];
salt_buf1[14] = 0;
salt_buf1[15] = 0;
/**
* esalt
*/
const u32 esalt_len = esalt_bufs[salt_pos].esalt_len;
u32 esalt_buf0[16];
esalt_buf0[ 0] = esalt_bufs[salt_pos].esalt_buf[ 0];
esalt_buf0[ 1] = esalt_bufs[salt_pos].esalt_buf[ 1];
esalt_buf0[ 2] = esalt_bufs[salt_pos].esalt_buf[ 2];
esalt_buf0[ 3] = esalt_bufs[salt_pos].esalt_buf[ 3];
esalt_buf0[ 4] = esalt_bufs[salt_pos].esalt_buf[ 4];
esalt_buf0[ 5] = esalt_bufs[salt_pos].esalt_buf[ 5];
esalt_buf0[ 6] = esalt_bufs[salt_pos].esalt_buf[ 6];
esalt_buf0[ 7] = esalt_bufs[salt_pos].esalt_buf[ 7];
esalt_buf0[ 8] = esalt_bufs[salt_pos].esalt_buf[ 8];
esalt_buf0[ 9] = esalt_bufs[salt_pos].esalt_buf[ 9];
esalt_buf0[10] = esalt_bufs[salt_pos].esalt_buf[10];
esalt_buf0[11] = esalt_bufs[salt_pos].esalt_buf[11];
esalt_buf0[12] = esalt_bufs[salt_pos].esalt_buf[12];
esalt_buf0[13] = esalt_bufs[salt_pos].esalt_buf[13];
esalt_buf0[14] = esalt_bufs[salt_pos].esalt_buf[14];
esalt_buf0[15] = esalt_bufs[salt_pos].esalt_buf[15];
u32 esalt_buf1[16];
esalt_buf1[ 0] = esalt_bufs[salt_pos].esalt_buf[16];
esalt_buf1[ 1] = esalt_bufs[salt_pos].esalt_buf[17];
esalt_buf1[ 2] = esalt_bufs[salt_pos].esalt_buf[18];
esalt_buf1[ 3] = esalt_bufs[salt_pos].esalt_buf[19];
esalt_buf1[ 4] = esalt_bufs[salt_pos].esalt_buf[20];
esalt_buf1[ 5] = esalt_bufs[salt_pos].esalt_buf[21];
esalt_buf1[ 6] = esalt_bufs[salt_pos].esalt_buf[22];
esalt_buf1[ 7] = esalt_bufs[salt_pos].esalt_buf[23];
esalt_buf1[ 8] = esalt_bufs[salt_pos].esalt_buf[24];
esalt_buf1[ 9] = esalt_bufs[salt_pos].esalt_buf[25];
esalt_buf1[10] = esalt_bufs[salt_pos].esalt_buf[26];
esalt_buf1[11] = esalt_bufs[salt_pos].esalt_buf[27];
esalt_buf1[12] = esalt_bufs[salt_pos].esalt_buf[28];
esalt_buf1[13] = esalt_bufs[salt_pos].esalt_buf[29];
esalt_buf1[14] = esalt_bufs[salt_pos].esalt_buf[30];
esalt_buf1[15] = esalt_bufs[salt_pos].esalt_buf[31];
u32 esalt_buf2[16];
esalt_buf2[ 0] = esalt_bufs[salt_pos].esalt_buf[32];
esalt_buf2[ 1] = esalt_bufs[salt_pos].esalt_buf[33];
esalt_buf2[ 2] = esalt_bufs[salt_pos].esalt_buf[34];
esalt_buf2[ 3] = esalt_bufs[salt_pos].esalt_buf[35];
esalt_buf2[ 4] = esalt_bufs[salt_pos].esalt_buf[36];
esalt_buf2[ 5] = esalt_bufs[salt_pos].esalt_buf[37];
esalt_buf2[ 6] = 0;
esalt_buf2[ 7] = 0;
esalt_buf2[ 8] = 0;
esalt_buf2[ 9] = 0;
esalt_buf2[10] = 0;
esalt_buf2[11] = 0;
esalt_buf2[12] = 0;
esalt_buf2[13] = 0;
esalt_buf2[14] = 0;
esalt_buf2[15] = 0;
const u32 digest_esalt_len = 32 + esalt_len;
const u32 remaining_bytes = digest_esalt_len + 1 - 64; // substract previous block
/**
* digest
*/
const u32 search[4] =
{
digests_buf[digests_offset].digest_buf[DGST_R0],
digests_buf[digests_offset].digest_buf[DGST_R1],
digests_buf[digests_offset].digest_buf[DGST_R2],
digests_buf[digests_offset].digest_buf[DGST_R3]
};
/**
* loop
*/
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
for (u32 il_pos = 0; il_pos < il_cnt; il_pos += VECT_SIZE)
Initial commit
2015-12-04 14:47:52 +00:00
{
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
u32x w0[4] = { 0 };
u32x w1[4] = { 0 };
u32x w2[4] = { 0 };
u32x w3[4] = { 0 };
Initial commit
2015-12-04 14:47:52 +00:00
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
const u32x out_len = apply_rules_vect (pw_buf0, pw_buf1, pw_len, rules_buf, il_pos, w0, w1);
Initial commit
2015-12-04 14:47:52 +00:00
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
append_0x80_2x4_VV (w0, w1, out_len);
Initial commit
2015-12-04 14:47:52 +00:00
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
const u32x pw_salt_len = salt_len + out_len;
Initial commit
2015-12-04 14:47:52 +00:00
/*
* HA1 = md5 ($salt . $pass)
*/
// append the pass to the salt
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
u32x block0[16];
Initial commit
2015-12-04 14:47:52 +00:00
block0[ 0] = salt_buf0[ 0];
block0[ 1] = salt_buf0[ 1];
block0[ 2] = salt_buf0[ 2];
block0[ 3] = salt_buf0[ 3];
block0[ 4] = salt_buf0[ 4];
block0[ 5] = salt_buf0[ 5];
block0[ 6] = salt_buf0[ 6];
block0[ 7] = salt_buf0[ 7];
block0[ 8] = salt_buf0[ 8];
block0[ 9] = salt_buf0[ 9];
block0[10] = salt_buf0[10];
block0[11] = salt_buf0[11];
block0[12] = salt_buf0[12];
block0[13] = salt_buf0[13];
block0[14] = salt_buf0[14];
block0[15] = salt_buf0[15];
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
u32x block1[16];
Initial commit
2015-12-04 14:47:52 +00:00
block1[ 0] = salt_buf1[ 0];
block1[ 1] = salt_buf1[ 1];
block1[ 2] = salt_buf1[ 2];
block1[ 3] = salt_buf1[ 3];
block1[ 4] = salt_buf1[ 4];
block1[ 5] = salt_buf1[ 5];
block1[ 6] = salt_buf1[ 6];
block1[ 7] = salt_buf1[ 7];
block1[ 8] = salt_buf1[ 8];
block1[ 9] = salt_buf1[ 9];
block1[10] = salt_buf1[10];
block1[11] = salt_buf1[11];
block1[12] = salt_buf1[12];
block1[13] = salt_buf1[13];
block1[14] = salt_buf1[14];
block1[15] = salt_buf1[15];
u32 block_len = 0;
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
block_len = memcat32_VV (block0, block1, salt_len, w0, w1, w2, w3, out_len);
Initial commit
2015-12-04 14:47:52 +00:00
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
u32x w0_t[4];
Initial commit
2015-12-04 14:47:52 +00:00
w0_t[0] = block0[ 0];
w0_t[1] = block0[ 1];
w0_t[2] = block0[ 2];
w0_t[3] = block0[ 3];
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
u32x w1_t[4];
Initial commit
2015-12-04 14:47:52 +00:00
w1_t[0] = block0[ 4];
w1_t[1] = block0[ 5];
w1_t[2] = block0[ 6];
w1_t[3] = block0[ 7];
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
u32x w2_t[4];
Initial commit
2015-12-04 14:47:52 +00:00
w2_t[0] = block0[ 8];
w2_t[1] = block0[ 9];
w2_t[2] = block0[10];
w2_t[3] = block0[11];
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
u32x w3_t[4];
Initial commit
2015-12-04 14:47:52 +00:00
w3_t[0] = block0[12];
w3_t[1] = block0[13];
w3_t[2] = block0[14];
w3_t[3] = block0[15];
if (block_len < 56)
{
w3_t[2] = pw_salt_len * 8;
}
// md5
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
u32x a = MD5M_A;
u32x b = MD5M_B;
u32x c = MD5M_C;
u32x d = MD5M_D;
Initial commit
2015-12-04 14:47:52 +00:00
MD5_STEP (MD5_Fo, a, b, c, d, w0_t[0], MD5C00, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w0_t[1], MD5C01, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w0_t[2], MD5C02, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w0_t[3], MD5C03, MD5S03);
MD5_STEP (MD5_Fo, a, b, c, d, w1_t[0], MD5C04, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w1_t[1], MD5C05, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w1_t[2], MD5C06, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w1_t[3], MD5C07, MD5S03);
MD5_STEP (MD5_Fo, a, b, c, d, w2_t[0], MD5C08, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w2_t[1], MD5C09, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w2_t[2], MD5C0a, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w2_t[3], MD5C0b, MD5S03);
MD5_STEP (MD5_Fo, a, b, c, d, w3_t[0], MD5C0c, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w3_t[1], MD5C0d, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w3_t[2], MD5C0e, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w3_t[3], MD5C0f, MD5S03);
MD5_STEP (MD5_Go, a, b, c, d, w0_t[1], MD5C10, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w1_t[2], MD5C11, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w2_t[3], MD5C12, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w0_t[0], MD5C13, MD5S13);
MD5_STEP (MD5_Go, a, b, c, d, w1_t[1], MD5C14, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w2_t[2], MD5C15, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w3_t[3], MD5C16, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w1_t[0], MD5C17, MD5S13);
MD5_STEP (MD5_Go, a, b, c, d, w2_t[1], MD5C18, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w3_t[2], MD5C19, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w0_t[3], MD5C1a, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w2_t[0], MD5C1b, MD5S13);
MD5_STEP (MD5_Go, a, b, c, d, w3_t[1], MD5C1c, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w0_t[2], MD5C1d, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w1_t[3], MD5C1e, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w3_t[0], MD5C1f, MD5S13);
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 17:38:34 +00:00
MD5_STEP (MD5_H , a, b, c, d, w1_t[1], MD5C20, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w2_t[0], MD5C21, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w2_t[3], MD5C22, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w3_t[2], MD5C23, MD5S23);
MD5_STEP (MD5_H , a, b, c, d, w0_t[1], MD5C24, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w1_t[0], MD5C25, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w1_t[3], MD5C26, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w2_t[2], MD5C27, MD5S23);
MD5_STEP (MD5_H , a, b, c, d, w3_t[1], MD5C28, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w0_t[0], MD5C29, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w0_t[3], MD5C2a, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w1_t[2], MD5C2b, MD5S23);
MD5_STEP (MD5_H , a, b, c, d, w2_t[1], MD5C2c, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w3_t[0], MD5C2d, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w3_t[3], MD5C2e, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w0_t[2], MD5C2f, MD5S23);
Initial commit
2015-12-04 14:47:52 +00:00
MD5_STEP (MD5_I , a, b, c, d, w0_t[0], MD5C30, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w1_t[3], MD5C31, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w3_t[2], MD5C32, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w1_t[1], MD5C33, MD5S33);
MD5_STEP (MD5_I , a, b, c, d, w3_t[0], MD5C34, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w0_t[3], MD5C35, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w2_t[2], MD5C36, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w0_t[1], MD5C37, MD5S33);
MD5_STEP (MD5_I , a, b, c, d, w2_t[0], MD5C38, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w3_t[3], MD5C39, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w1_t[2], MD5C3a, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w3_t[1], MD5C3b, MD5S33);
MD5_STEP (MD5_I , a, b, c, d, w1_t[0], MD5C3c, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w2_t[3], MD5C3d, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w0_t[2], MD5C3e, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w2_t[1], MD5C3f, MD5S33);
a += MD5M_A;
b += MD5M_B;
c += MD5M_C;
d += MD5M_D;
if (block_len > 55)
{
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
u32x r_a = a;
u32x r_b = b;
u32x r_c = c;
u32x r_d = d;
Initial commit
2015-12-04 14:47:52 +00:00
w0_t[0] = block1[ 0];
w0_t[1] = block1[ 1];
w0_t[2] = block1[ 2];
w0_t[3] = block1[ 3];
w1_t[0] = block1[ 4];
w1_t[1] = block1[ 5];
w1_t[2] = block1[ 6];
w1_t[3] = block1[ 7];
w2_t[0] = block1[ 8];
w2_t[1] = block1[ 9];
w2_t[2] = block1[10];
w2_t[3] = block1[11];
w3_t[0] = block1[12];
w3_t[1] = block1[13];
w3_t[2] = pw_salt_len * 8;
w3_t[3] = 0;
MD5_STEP (MD5_Fo, a, b, c, d, w0_t[0], MD5C00, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w0_t[1], MD5C01, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w0_t[2], MD5C02, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w0_t[3], MD5C03, MD5S03);
MD5_STEP (MD5_Fo, a, b, c, d, w1_t[0], MD5C04, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w1_t[1], MD5C05, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w1_t[2], MD5C06, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w1_t[3], MD5C07, MD5S03);
MD5_STEP (MD5_Fo, a, b, c, d, w2_t[0], MD5C08, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w2_t[1], MD5C09, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w2_t[2], MD5C0a, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w2_t[3], MD5C0b, MD5S03);
MD5_STEP (MD5_Fo, a, b, c, d, w3_t[0], MD5C0c, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w3_t[1], MD5C0d, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w3_t[2], MD5C0e, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w3_t[3], MD5C0f, MD5S03);
MD5_STEP (MD5_Go, a, b, c, d, w0_t[1], MD5C10, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w1_t[2], MD5C11, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w2_t[3], MD5C12, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w0_t[0], MD5C13, MD5S13);
MD5_STEP (MD5_Go, a, b, c, d, w1_t[1], MD5C14, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w2_t[2], MD5C15, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w3_t[3], MD5C16, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w1_t[0], MD5C17, MD5S13);
MD5_STEP (MD5_Go, a, b, c, d, w2_t[1], MD5C18, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w3_t[2], MD5C19, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w0_t[3], MD5C1a, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w2_t[0], MD5C1b, MD5S13);
MD5_STEP (MD5_Go, a, b, c, d, w3_t[1], MD5C1c, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w0_t[2], MD5C1d, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w1_t[3], MD5C1e, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w3_t[0], MD5C1f, MD5S13);
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 17:38:34 +00:00
MD5_STEP (MD5_H , a, b, c, d, w1_t[1], MD5C20, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w2_t[0], MD5C21, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w2_t[3], MD5C22, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w3_t[2], MD5C23, MD5S23);
MD5_STEP (MD5_H , a, b, c, d, w0_t[1], MD5C24, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w1_t[0], MD5C25, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w1_t[3], MD5C26, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w2_t[2], MD5C27, MD5S23);
MD5_STEP (MD5_H , a, b, c, d, w3_t[1], MD5C28, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w0_t[0], MD5C29, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w0_t[3], MD5C2a, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w1_t[2], MD5C2b, MD5S23);
MD5_STEP (MD5_H , a, b, c, d, w2_t[1], MD5C2c, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w3_t[0], MD5C2d, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w3_t[3], MD5C2e, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w0_t[2], MD5C2f, MD5S23);
Initial commit
2015-12-04 14:47:52 +00:00
MD5_STEP (MD5_I , a, b, c, d, w0_t[0], MD5C30, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w1_t[3], MD5C31, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w3_t[2], MD5C32, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w1_t[1], MD5C33, MD5S33);
MD5_STEP (MD5_I , a, b, c, d, w3_t[0], MD5C34, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w0_t[3], MD5C35, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w2_t[2], MD5C36, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w0_t[1], MD5C37, MD5S33);
MD5_STEP (MD5_I , a, b, c, d, w2_t[0], MD5C38, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w3_t[3], MD5C39, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w1_t[2], MD5C3a, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w3_t[1], MD5C3b, MD5S33);
MD5_STEP (MD5_I , a, b, c, d, w1_t[0], MD5C3c, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w2_t[3], MD5C3d, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w0_t[2], MD5C3e, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w2_t[1], MD5C3f, MD5S33);
a += r_a;
b += r_b;
c += r_c;
d += r_d;
}
/*
* final = md5 ($HA1 . $esalt)
* we have at least 2 MD5 blocks/transformations, but we might need 3
*/
w0_t[0] = uint_to_hex_lower8 ((a >> 0) & 255) << 0
| uint_to_hex_lower8 ((a >> 8) & 255) << 16;
w0_t[1] = uint_to_hex_lower8 ((a >> 16) & 255) << 0
| uint_to_hex_lower8 ((a >> 24) & 255) << 16;
w0_t[2] = uint_to_hex_lower8 ((b >> 0) & 255) << 0
| uint_to_hex_lower8 ((b >> 8) & 255) << 16;
w0_t[3] = uint_to_hex_lower8 ((b >> 16) & 255) << 0
| uint_to_hex_lower8 ((b >> 24) & 255) << 16;
w1_t[0] = uint_to_hex_lower8 ((c >> 0) & 255) << 0
| uint_to_hex_lower8 ((c >> 8) & 255) << 16;
w1_t[1] = uint_to_hex_lower8 ((c >> 16) & 255) << 0
| uint_to_hex_lower8 ((c >> 24) & 255) << 16;
w1_t[2] = uint_to_hex_lower8 ((d >> 0) & 255) << 0
| uint_to_hex_lower8 ((d >> 8) & 255) << 16;
w1_t[3] = uint_to_hex_lower8 ((d >> 16) & 255) << 0
| uint_to_hex_lower8 ((d >> 24) & 255) << 16;
w2_t[0] = esalt_buf0[0];
w2_t[1] = esalt_buf0[1];
w2_t[2] = esalt_buf0[2];
w2_t[3] = esalt_buf0[3];
w3_t[0] = esalt_buf0[4];
w3_t[1] = esalt_buf0[5];
w3_t[2] = esalt_buf0[6];
w3_t[3] = esalt_buf0[7];
// md5
// 1st transform
a = MD5M_A;
b = MD5M_B;
c = MD5M_C;
d = MD5M_D;
MD5_STEP (MD5_Fo, a, b, c, d, w0_t[0], MD5C00, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w0_t[1], MD5C01, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w0_t[2], MD5C02, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w0_t[3], MD5C03, MD5S03);
MD5_STEP (MD5_Fo, a, b, c, d, w1_t[0], MD5C04, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w1_t[1], MD5C05, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w1_t[2], MD5C06, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w1_t[3], MD5C07, MD5S03);
MD5_STEP (MD5_Fo, a, b, c, d, w2_t[0], MD5C08, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w2_t[1], MD5C09, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w2_t[2], MD5C0a, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w2_t[3], MD5C0b, MD5S03);
MD5_STEP (MD5_Fo, a, b, c, d, w3_t[0], MD5C0c, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w3_t[1], MD5C0d, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w3_t[2], MD5C0e, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w3_t[3], MD5C0f, MD5S03);
MD5_STEP (MD5_Go, a, b, c, d, w0_t[1], MD5C10, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w1_t[2], MD5C11, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w2_t[3], MD5C12, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w0_t[0], MD5C13, MD5S13);
MD5_STEP (MD5_Go, a, b, c, d, w1_t[1], MD5C14, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w2_t[2], MD5C15, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w3_t[3], MD5C16, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w1_t[0], MD5C17, MD5S13);
MD5_STEP (MD5_Go, a, b, c, d, w2_t[1], MD5C18, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w3_t[2], MD5C19, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w0_t[3], MD5C1a, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w2_t[0], MD5C1b, MD5S13);
MD5_STEP (MD5_Go, a, b, c, d, w3_t[1], MD5C1c, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w0_t[2], MD5C1d, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w1_t[3], MD5C1e, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w3_t[0], MD5C1f, MD5S13);
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 17:38:34 +00:00
MD5_STEP (MD5_H , a, b, c, d, w1_t[1], MD5C20, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w2_t[0], MD5C21, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w2_t[3], MD5C22, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w3_t[2], MD5C23, MD5S23);
MD5_STEP (MD5_H , a, b, c, d, w0_t[1], MD5C24, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w1_t[0], MD5C25, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w1_t[3], MD5C26, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w2_t[2], MD5C27, MD5S23);
MD5_STEP (MD5_H , a, b, c, d, w3_t[1], MD5C28, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w0_t[0], MD5C29, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w0_t[3], MD5C2a, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w1_t[2], MD5C2b, MD5S23);
MD5_STEP (MD5_H , a, b, c, d, w2_t[1], MD5C2c, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w3_t[0], MD5C2d, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w3_t[3], MD5C2e, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w0_t[2], MD5C2f, MD5S23);
Initial commit
2015-12-04 14:47:52 +00:00
MD5_STEP (MD5_I , a, b, c, d, w0_t[0], MD5C30, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w1_t[3], MD5C31, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w3_t[2], MD5C32, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w1_t[1], MD5C33, MD5S33);
MD5_STEP (MD5_I , a, b, c, d, w3_t[0], MD5C34, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w0_t[3], MD5C35, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w2_t[2], MD5C36, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w0_t[1], MD5C37, MD5S33);
MD5_STEP (MD5_I , a, b, c, d, w2_t[0], MD5C38, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w3_t[3], MD5C39, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w1_t[2], MD5C3a, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w3_t[1], MD5C3b, MD5S33);
MD5_STEP (MD5_I , a, b, c, d, w1_t[0], MD5C3c, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w2_t[3], MD5C3d, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w0_t[2], MD5C3e, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w2_t[1], MD5C3f, MD5S33);
a += MD5M_A;
b += MD5M_B;
c += MD5M_C;
d += MD5M_D;
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
u32x r_a = a;
u32x r_b = b;
u32x r_c = c;
u32x r_d = d;
Initial commit
2015-12-04 14:47:52 +00:00
// 2nd transform
w0_t[0] = esalt_buf0[ 8];
w0_t[1] = esalt_buf0[ 9];
w0_t[2] = esalt_buf0[10];
w0_t[3] = esalt_buf0[11];
w1_t[0] = esalt_buf0[12];
w1_t[1] = esalt_buf0[13];
w1_t[2] = esalt_buf0[14];
w1_t[3] = esalt_buf0[15];
w2_t[0] = esalt_buf1[ 0];
w2_t[1] = esalt_buf1[ 1];
w2_t[2] = esalt_buf1[ 2];
w2_t[3] = esalt_buf1[ 3];
w3_t[0] = esalt_buf1[ 4];
w3_t[1] = esalt_buf1[ 5];
w3_t[2] = esalt_buf1[ 6];
w3_t[3] = esalt_buf1[ 7];
// it is the final block when no more than 55 bytes left
if (remaining_bytes < 56)
{
// it is the last block !
w3_t[2] = digest_esalt_len * 8;
}
MD5_STEP (MD5_Fo, a, b, c, d, w0_t[0], MD5C00, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w0_t[1], MD5C01, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w0_t[2], MD5C02, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w0_t[3], MD5C03, MD5S03);
MD5_STEP (MD5_Fo, a, b, c, d, w1_t[0], MD5C04, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w1_t[1], MD5C05, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w1_t[2], MD5C06, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w1_t[3], MD5C07, MD5S03);
MD5_STEP (MD5_Fo, a, b, c, d, w2_t[0], MD5C08, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w2_t[1], MD5C09, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w2_t[2], MD5C0a, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w2_t[3], MD5C0b, MD5S03);
MD5_STEP (MD5_Fo, a, b, c, d, w3_t[0], MD5C0c, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w3_t[1], MD5C0d, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w3_t[2], MD5C0e, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w3_t[3], MD5C0f, MD5S03);
MD5_STEP (MD5_Go, a, b, c, d, w0_t[1], MD5C10, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w1_t[2], MD5C11, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w2_t[3], MD5C12, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w0_t[0], MD5C13, MD5S13);
MD5_STEP (MD5_Go, a, b, c, d, w1_t[1], MD5C14, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w2_t[2], MD5C15, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w3_t[3], MD5C16, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w1_t[0], MD5C17, MD5S13);
MD5_STEP (MD5_Go, a, b, c, d, w2_t[1], MD5C18, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w3_t[2], MD5C19, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w0_t[3], MD5C1a, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w2_t[0], MD5C1b, MD5S13);
MD5_STEP (MD5_Go, a, b, c, d, w3_t[1], MD5C1c, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w0_t[2], MD5C1d, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w1_t[3], MD5C1e, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w3_t[0], MD5C1f, MD5S13);
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 17:38:34 +00:00
MD5_STEP (MD5_H , a, b, c, d, w1_t[1], MD5C20, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w2_t[0], MD5C21, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w2_t[3], MD5C22, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w3_t[2], MD5C23, MD5S23);
MD5_STEP (MD5_H , a, b, c, d, w0_t[1], MD5C24, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w1_t[0], MD5C25, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w1_t[3], MD5C26, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w2_t[2], MD5C27, MD5S23);
MD5_STEP (MD5_H , a, b, c, d, w3_t[1], MD5C28, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w0_t[0], MD5C29, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w0_t[3], MD5C2a, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w1_t[2], MD5C2b, MD5S23);
MD5_STEP (MD5_H , a, b, c, d, w2_t[1], MD5C2c, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w3_t[0], MD5C2d, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w3_t[3], MD5C2e, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w0_t[2], MD5C2f, MD5S23);
Initial commit
2015-12-04 14:47:52 +00:00
MD5_STEP (MD5_I , a, b, c, d, w0_t[0], MD5C30, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w1_t[3], MD5C31, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w3_t[2], MD5C32, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w1_t[1], MD5C33, MD5S33);
MD5_STEP (MD5_I , a, b, c, d, w3_t[0], MD5C34, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w0_t[3], MD5C35, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w2_t[2], MD5C36, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w0_t[1], MD5C37, MD5S33);
MD5_STEP (MD5_I , a, b, c, d, w2_t[0], MD5C38, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w3_t[3], MD5C39, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w1_t[2], MD5C3a, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w3_t[1], MD5C3b, MD5S33);
MD5_STEP (MD5_I , a, b, c, d, w1_t[0], MD5C3c, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w2_t[3], MD5C3d, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w0_t[2], MD5C3e, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w2_t[1], MD5C3f, MD5S33);
// sometimes (not rare at all) we need a third block :(
if (remaining_bytes > 55)
{
// this is for sure the final block
a += r_a;
b += r_b;
c += r_c;
d += r_d;
r_a = a;
r_b = b;
r_c = c;
r_d = d;
w0_t[0] = esalt_buf1[ 8];
w0_t[1] = esalt_buf1[ 9];
w0_t[2] = esalt_buf1[10];
w0_t[3] = esalt_buf1[11];
w1_t[0] = esalt_buf1[12];
w1_t[1] = esalt_buf1[13];
w1_t[2] = esalt_buf1[14];
w1_t[3] = esalt_buf1[15];
w2_t[0] = esalt_buf2[ 0];
w2_t[1] = esalt_buf2[ 1];
w2_t[2] = esalt_buf2[ 2];
w2_t[3] = esalt_buf2[ 3];
w3_t[0] = esalt_buf2[ 4];
w3_t[1] = esalt_buf2[ 5];
w3_t[2] = digest_esalt_len * 8;
w3_t[3] = 0;
MD5_STEP (MD5_Fo, a, b, c, d, w0_t[0], MD5C00, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w0_t[1], MD5C01, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w0_t[2], MD5C02, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w0_t[3], MD5C03, MD5S03);
MD5_STEP (MD5_Fo, a, b, c, d, w1_t[0], MD5C04, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w1_t[1], MD5C05, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w1_t[2], MD5C06, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w1_t[3], MD5C07, MD5S03);
MD5_STEP (MD5_Fo, a, b, c, d, w2_t[0], MD5C08, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w2_t[1], MD5C09, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w2_t[2], MD5C0a, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w2_t[3], MD5C0b, MD5S03);
MD5_STEP (MD5_Fo, a, b, c, d, w3_t[0], MD5C0c, MD5S00);
MD5_STEP (MD5_Fo, d, a, b, c, w3_t[1], MD5C0d, MD5S01);
MD5_STEP (MD5_Fo, c, d, a, b, w3_t[2], MD5C0e, MD5S02);
MD5_STEP (MD5_Fo, b, c, d, a, w3_t[3], MD5C0f, MD5S03);
MD5_STEP (MD5_Go, a, b, c, d, w0_t[1], MD5C10, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w1_t[2], MD5C11, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w2_t[3], MD5C12, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w0_t[0], MD5C13, MD5S13);
MD5_STEP (MD5_Go, a, b, c, d, w1_t[1], MD5C14, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w2_t[2], MD5C15, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w3_t[3], MD5C16, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w1_t[0], MD5C17, MD5S13);
MD5_STEP (MD5_Go, a, b, c, d, w2_t[1], MD5C18, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w3_t[2], MD5C19, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w0_t[3], MD5C1a, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w2_t[0], MD5C1b, MD5S13);
MD5_STEP (MD5_Go, a, b, c, d, w3_t[1], MD5C1c, MD5S10);
MD5_STEP (MD5_Go, d, a, b, c, w0_t[2], MD5C1d, MD5S11);
MD5_STEP (MD5_Go, c, d, a, b, w1_t[3], MD5C1e, MD5S12);
MD5_STEP (MD5_Go, b, c, d, a, w3_t[0], MD5C1f, MD5S13);
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 17:38:34 +00:00
MD5_STEP (MD5_H , a, b, c, d, w1_t[1], MD5C20, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w2_t[0], MD5C21, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w2_t[3], MD5C22, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w3_t[2], MD5C23, MD5S23);
MD5_STEP (MD5_H , a, b, c, d, w0_t[1], MD5C24, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w1_t[0], MD5C25, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w1_t[3], MD5C26, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w2_t[2], MD5C27, MD5S23);
MD5_STEP (MD5_H , a, b, c, d, w3_t[1], MD5C28, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w0_t[0], MD5C29, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w0_t[3], MD5C2a, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w1_t[2], MD5C2b, MD5S23);
MD5_STEP (MD5_H , a, b, c, d, w2_t[1], MD5C2c, MD5S20);
MD5_STEP (MD5_H , d, a, b, c, w3_t[0], MD5C2d, MD5S21);
MD5_STEP (MD5_H , c, d, a, b, w3_t[3], MD5C2e, MD5S22);
MD5_STEP (MD5_H , b, c, d, a, w0_t[2], MD5C2f, MD5S23);
Initial commit
2015-12-04 14:47:52 +00:00
MD5_STEP (MD5_I , a, b, c, d, w0_t[0], MD5C30, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w1_t[3], MD5C31, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w3_t[2], MD5C32, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w1_t[1], MD5C33, MD5S33);
MD5_STEP (MD5_I , a, b, c, d, w3_t[0], MD5C34, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w0_t[3], MD5C35, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w2_t[2], MD5C36, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w0_t[1], MD5C37, MD5S33);
MD5_STEP (MD5_I , a, b, c, d, w2_t[0], MD5C38, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w3_t[3], MD5C39, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w1_t[2], MD5C3a, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w3_t[1], MD5C3b, MD5S33);
MD5_STEP (MD5_I , a, b, c, d, w1_t[0], MD5C3c, MD5S30);
MD5_STEP (MD5_I , d, a, b, c, w2_t[3], MD5C3d, MD5S31);
MD5_STEP (MD5_I , c, d, a, b, w0_t[2], MD5C3e, MD5S32);
MD5_STEP (MD5_I , b, c, d, a, w2_t[1], MD5C3f, MD5S33);
}
a += r_a;
b += r_b;
c += r_c;
d += r_d;
Converted to new SIMD: -m 11400 -a 0
2016-02-04 21:20:30 +00:00
COMPARE_S_SIMD (a, d, c, b);
Initial commit
2015-12-04 14:47:52 +00:00
}
}
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
__kernel void m11400_s08 (__global pw_t *pws, __global kernel_rule_t *rules_buf, __global comb_t *combs_buf, __global bf_t *bfs_buf, __global void *tmps, __global void *hooks, __global u32 *bitmaps_buf_s1_a, __global u32 *bitmaps_buf_s1_b, __global u32 *bitmaps_buf_s1_c, __global u32 *bitmaps_buf_s1_d, __global u32 *bitmaps_buf_s2_a, __global u32 *bitmaps_buf_s2_b, __global u32 *bitmaps_buf_s2_c, __global u32 *bitmaps_buf_s2_d, __global plain_t *plains_buf, __global digest_t *digests_buf, __global u32 *hashes_shown, __global salt_t *salt_bufs, __global sip_t *esalt_bufs, __global u32 *d_return_buf, __global u32 *d_scryptV_buf, const u32 bitmap_mask, const u32 bitmap_shift1, const u32 bitmap_shift2, const u32 salt_pos, const u32 loop_pos, const u32 loop_cnt, const u32 il_cnt, const u32 digests_cnt, const u32 digests_offset, const u32 combs_mode, const u32 gid_max)
Initial commit
2015-12-04 14:47:52 +00:00
{
}
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
__kernel void m11400_s16 (__global pw_t *pws, __global kernel_rule_t *rules_buf, __global comb_t *combs_buf, __global bf_t *bfs_buf, __global void *tmps, __global void *hooks, __global u32 *bitmaps_buf_s1_a, __global u32 *bitmaps_buf_s1_b, __global u32 *bitmaps_buf_s1_c, __global u32 *bitmaps_buf_s1_d, __global u32 *bitmaps_buf_s2_a, __global u32 *bitmaps_buf_s2_b, __global u32 *bitmaps_buf_s2_c, __global u32 *bitmaps_buf_s2_d, __global plain_t *plains_buf, __global digest_t *digests_buf, __global u32 *hashes_shown, __global salt_t *salt_bufs, __global sip_t *esalt_bufs, __global u32 *d_return_buf, __global u32 *d_scryptV_buf, const u32 bitmap_mask, const u32 bitmap_shift1, const u32 bitmap_shift2, const u32 salt_pos, const u32 loop_pos, const u32 loop_cnt, const u32 il_cnt, const u32 digests_cnt, const u32 digests_offset, const u32 combs_mode, const u32 gid_max)
Initial commit
2015-12-04 14:47:52 +00:00
{
}
Reference in New Issue Copy Permalink