1
0
mirror of https://github.com/hashcat/hashcat.git synced 2024-12-27 00:48:13 +00:00
Commit Graph

18 Commits

Author SHA1 Message Date
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
jsteube
a0221cd368 Fix broken -m 1500 and -m 3000 2016-05-09 09:17:59 +02:00
jsteube
6dac6b409e Add compiler kernel hints for algorithms with fixed workgroup size 2016-05-09 00:58:04 +02:00
Jens Steube
c0d0ef60a5 Replace minus with select give a small boost in speed for -m 1500 and -m 3000 2016-04-24 20:52:21 +02:00
Jens Steube
01baa89bc0 Fix -m 3000 cracking performance
Fix -m 1500 cracking performance
2016-04-23 22:29:29 +02:00
Jens Steube
55cadb6834 Fix broken -m 1500 and -m 3000 in -a 3 mode 2016-03-06 14:24:21 +01:00
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
Jens Steube
a62b7ed06e Upgrade kernel to support dynamic local work sizes 2016-01-19 16:06:03 +01:00
Jens Steube
245301c9b4 Started optimizing some of the OpenCL kernel for latest AMD Catalyst 15.12:
- Replaced SBOX for DES:

replaced JtR's * Bitslice DES S-boxes making use of a vector conditional select operation (e.g., vsel on PowerPC with AltiVec).
with     JtR's * Bitslice DES S-boxes for x86 with MMX/SSE2/AVX and for typical RISC architectures.

Performance increased for DEScrypt from 355MH/s to 405MH/s and for LM from 11100MH/s to 12000MH/s

BTW, the same effect can be seen with non-maxwell GPU's

- Remove some volatile keywords no longer needed thanks to fixed catalyst bugs

- Fix weak-hash-check parameter for use with tools/test.sh
2016-01-14 19:44:47 +01:00
jsteube
e8229af09b 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 20:14:34 +01:00
jsteube
331188167c Replace the substring GPU to a more appropriate "device" or "kernel" substring depending on the context 2016-01-05 08:26:44 +01:00
jsteube
8b50b60484 More fixes for general OpenCL platforms 2016-01-04 19:23:21 +01:00
jsteube
5f7c47b461 Fix path to includes 2016-01-03 01:48:05 +01:00
jsteube
acea69c561 final cleanup for -m 1500 2015-12-16 12:06:18 +01:00
jsteube
661225f03f Fix -m 1500 for NV
Fix C++ function header
2015-12-16 11:52:32 +01:00
jsteube
76cc1631be More kernel fixes for function calls and vector datatypes 2015-12-15 17:46:00 +01:00
jsteube
0bf4e3c34a - Dropped all vector code since new GPU's are all scalar, makes the code much easier
- Some performance on low-end GPU may drop because of that, but only for a few hash-modes
- Dropped scalar code (aka warp) since we do not have any vector datatypes anymore
- Renamed C++ overloading functions memcat32_9 -> memcat_c32_w4x4_a3x4
- Still need to fix kernels to new function names, needs to be done manually
- Temperature Management needs to be rewritten partially because of conflicting datatypes names
- Added code to create different codepaths for NV on AMD in runtime in host (see data.vendor_id)
- Added code to create different codepaths for NV on AMD in runtime in kernels (see IS_NV and IS_AMD)
- First tests working for -m 0, for example
- Great performance increases in general for NV so far
- Tested amp_* and markov_* kernel
- Migrated special NV optimizations for rule processor
2015-12-15 12:04:22 +01:00