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Commit Graph

9 Commits

Author SHA1 Message Date
jsteube
8702d0e3e1 Workaround memory allocation limit from OpenCL by using multiple buffers for scrypt 2016-06-28 11:03:04 +02:00
Jens Steube
ed1863c263 Move macros DGST_R0 - DGST_R3 to host, define dgst_size for opencl kernel from host; both at runtime 2016-06-26 23:39:42 +02:00
Jens Steube
2899f53a15 Move files from include/ to OpenCL/ if they are used within kernels
Rename includes in OpenCL so that it's easier to recognize them as such
2016-05-25 23:04:26 +02:00
jsteube
c79bed3b7d Prepare for a more dynamic #pragma unroll use 2016-05-09 21:32:12 +02:00
Jens Steube
0b3743ce94 - Added inline declaration to functions from simd.c, common.c, rp.c and types_ocl.c to increase performance
- Dropped static declaration from functions in all kernel to achieve OpenCL 1.1 compatibility
- Added -cl-std=CL1.1 to all kernel build options
- Created environment variable to inform NVidia OpenCL runtime to not create its own kernel cache
- Created environment variable to inform pocl OpenCL runtime to not create its own kernel cache
2016-05-01 23:15:26 +02:00
jsteube
dad03e394d 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 17:18:54 +01:00
Gabriele 'matrix' Gristina
44c3f16bcb Fixed compiler warnings (unused variable) 2016-01-25 13:32:45 +01:00
Jens Steube
a62b7ed06e Upgrade kernel to support dynamic local work sizes 2016-01-19 16:06:03 +01:00
jsteube
332b3c35e5 Added new hash mode -m 12900 = Android FDE (Samsung DEK) 2016-01-09 00:49:54 +01:00