DeforaNetworks/hashcat
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hashcat/OpenCL
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Jens Steube d8e58d5fd3 Prepare _a0 kernel for SIMD
2016-02-01 21:06:56 +01:00
..
amp_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
amp_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
amp_a3.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
check_multi_comp4_bs.c
- Dropped all vector code since new GPU's are all scalar, makes the code much easier
2015-12-15 12:04:22 +01:00
check_multi_comp4.c
- Dropped all vector code since new GPU's are all scalar, makes the code much easier
2015-12-15 12:04:22 +01:00
check_single_comp4_bs.c
- Dropped all vector code since new GPU's are all scalar, makes the code much easier
2015-12-15 12:04:22 +01:00
check_single_comp4.c
- Dropped all vector code since new GPU's are all scalar, makes the code much easier
2015-12-15 12:04:22 +01:00
common.c
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
kernel_aes256_amd.c
Replace the substring GPU to a more appropriate "device" or "kernel" substring depending on the context
2016-01-05 08:26:44 +01:00
kernel_serpent256_amd.c
Replace the substring GPU to a more appropriate "device" or "kernel" substring depending on the context
2016-01-05 08:26:44 +01:00
kernel_twofish256_amd.c
Replace the substring GPU to a more appropriate "device" or "kernel" substring depending on the context
2016-01-05 08:26:44 +01:00
m00000_a0.cl
SIMD code convert for -m 0 and -a 0
2016-01-31 19:38:00 +01:00
m00000_a1.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m00000_a3.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m00010_a0.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m00010_a1.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m00010_a3.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m00020_a0.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m00020_a1.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m00020_a3.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m00030_a0.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m00030_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m00030_a3.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m00040_a0.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m00040_a1.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m00040_a3.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m00050_a0.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m00050_a1.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m00050_a3.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m00060_a0.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m00060_a1.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m00060_a3.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m00100_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m00100_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m00100_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m00110_a0.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m00110_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m00110_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m00120_a0.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m00120_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m00120_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m00130_a0.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m00130_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m00130_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m00140_a0.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m00140_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m00140_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m00150_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m00150_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m00150_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m00160_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m00160_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m00160_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m00190_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m00190_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m00190_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m00200_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m00200_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m00200_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m00300_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m00300_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m00300_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m00400.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m00500.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m00900_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m00900_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m00900_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01000_a0.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m01000_a1.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m01000_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01100_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m01100_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01100_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01400_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m01400_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01400_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01410_a0.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01410_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01410_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01420_a0.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01420_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01420_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01430_a0.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01430_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01430_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01440_a0.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01440_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01440_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01450_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m01450_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01450_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01460_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m01460_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01460_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01500_a0.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m01500_a1.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m01500_a3.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m01600.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m01700_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m01700_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01700_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01710_a0.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01710_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01710_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01720_a0.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01720_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01720_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01730_a0.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01730_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01730_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01740_a0.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01740_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01740_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01750_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m01750_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01750_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01760_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m01760_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01760_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m01800.cl
Use a different workaround for a catalyst bug which takes effect in sha512crypt
2016-01-31 17:24:12 +01:00
m02100.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m02400_a0.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m02400_a1.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m02400_a3.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m02410_a0.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m02410_a1.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m02410_a3.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m02500.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m02610_a0.cl
Prepare _a0 kernel for SIMD
2016-02-01 21:06:56 +01:00
m02610_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m02610_a3.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m02710_a0.cl
Prepare _a0 kernel for SIMD
2016-02-01 21:06:56 +01:00
m02710_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m02710_a3.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m02810_a0.cl
Prepare _a0 kernel for SIMD
2016-02-01 21:06:56 +01:00
m02810_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m02810_a3.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m03000_a0.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m03000_a1.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m03000_a3.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m03100_a0.cl
Prepare _a0 kernel for SIMD
2016-02-01 21:06:56 +01:00
m03100_a1.cl
Fixed m03100_a* Apple OpenCL compiler issue
2016-01-30 21:55:42 +01:00
m03100_a3.cl
Fixed m03100_a* Apple OpenCL compiler issue
2016-01-30 21:55:42 +01:00
m03200.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m03710_a0.cl
Prepare _a0 kernel for SIMD
2016-02-01 21:06:56 +01:00
m03710_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m03710_a3.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m03800_a0.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m03800_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m03800_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m04310_a0.cl
Prepare _a0 kernel for SIMD
2016-02-01 21:06:56 +01:00
m04310_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m04310_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m04400_a0.cl
Prepare _a0 kernel for SIMD
2016-02-01 21:06:56 +01:00
m04400_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m04400_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m04500_a0.cl
Prepare _a0 kernel for SIMD
2016-02-01 21:06:56 +01:00
m04500_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m04500_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m04700_a0.cl
Prepare _a0 kernel for SIMD
2016-02-01 21:06:56 +01:00
m04700_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m04700_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m04800_a0.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m04800_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m04800_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m04900_a0.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m04900_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m04900_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m05000_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m05000_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m05000_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m05100_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m05100_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m05100_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m05200.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m05300_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m05300_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m05300_a3.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m05400_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m05400_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m05400_a3.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m05500_a0.cl
Workaround JIT-compiler or ForceWare Bug in sm_50
2016-01-31 15:29:54 +01:00
m05500_a1.cl
Workaround JIT-compiler or ForceWare Bug in sm_50
2016-01-31 15:29:54 +01:00
m05500_a3.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m05600_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m05600_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m05600_a3.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m05800.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m06000_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m06000_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m06000_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m06100_a0.cl
Prepare _a0 kernel for SIMD
2016-02-01 21:06:56 +01:00
m06100_a1.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m06100_a3.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m06211.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m06212.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m06213.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m06221.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m06222.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m06223.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m06231.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m06232.cl
Fixed __local in m06232 and m06233 (see PR #179 for details)
2016-01-31 19:08:43 +01:00
m06233.cl
Fixed __local in m06232 and m06233 (see PR #179 for details)
2016-01-31 19:08:43 +01:00
m06300.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m06400.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m06500.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m06600.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m06700.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m06800.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m06900_a0.cl
Prepare _a0 kernel for SIMD
2016-02-01 21:06:56 +01:00
m06900_a1.cl
Fixed __local issue with Apple platform for hash mode 6900
2016-01-29 14:17:46 +01:00
m06900_a3.cl
Fixed __local issue with Apple platform for hash mode 6900
2016-01-29 14:17:46 +01:00
m07100.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m07300_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m07300_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m07300_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m07400.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m07500_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m07500_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m07500_a3.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m07600_a0.cl
Prepare _a0 kernel for SIMD
2016-02-01 21:06:56 +01:00
m07600_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m07600_a3.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m07700_a0.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m07700_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m07700_a3.cl
Fixed compiler warnings (unused variable)
2016-01-25 13:32:45 +01:00
m07800_a0.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m07800_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m07800_a3.cl
Merge pull request #160 from gm4tr1x/gpu-warnings2
2016-01-26 18:13:51 +01:00
m07900.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m08000_a0.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m08000_a1.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m08000_a3.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m08100_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m08100_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m08100_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m08200.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m08300_a0.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m08300_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m08300_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m08400_a0.cl
Prepare _a0 kernel for SIMD
2016-02-01 21:06:56 +01:00
m08400_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m08400_a3.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m08500_a0.cl
Prepare _a0 kernel for SIMD
2016-02-01 21:06:56 +01:00
m08500_a1.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m08500_a3.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m08600_a0.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m08600_a1.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m08600_a3.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m08700_a0.cl
Prepare _a0 kernel for SIMD
2016-02-01 21:06:56 +01:00
m08700_a1.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m08700_a3.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m08800.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m08900.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m09000.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m09100.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m09400.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m09500.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m09600.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m09700_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m09700_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m09700_a3.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m09710_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m09710_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m09710_a3.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m09720_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m09720_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m09720_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m09800_a0.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m09800_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m09800_a3.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m09810_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m09810_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m09810_a3.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m09820_a0.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m09820_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m09820_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m09900_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m09900_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m09900_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m10100_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m10100_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m10100_a3.cl
Fixed compiler warnings (comparison of integers of different signs) for kernel 7800 and 10100
2016-01-25 13:08:31 +01:00
m10300.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m10400_a0.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m10400_a1.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m10400_a3.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m10410_a0.cl
Fixed __constant in m10410 (see PR #179 for details)
2016-01-31 19:17:33 +01:00
m10410_a1.cl
Fixed __constant in m10410 (see PR #179 for details)
2016-01-31 19:17:33 +01:00
m10410_a3.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m10420_a0.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m10420_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m10420_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m10500.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m10700.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m10800_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m10800_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m10800_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m10900.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m11000_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m11000_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m11000_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m11100_a0.cl
Prepare _a0 kernel for SIMD
2016-02-01 21:06:56 +01:00
m11100_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m11100_a3.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m11200_a0.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m11200_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m11200_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m11300.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m11400_a0.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m11400_a1.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m11400_a3.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m11500_a0.cl
Prepare _a0 kernel for SIMD
2016-02-01 21:06:56 +01:00
m11500_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m11500_a3.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m11600.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m11700_a0.cl
Prepare _a0 kernel for SIMD
2016-02-01 21:06:56 +01:00
m11700_a1.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m11700_a3.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m11800_a0.cl
Prepare _a0 kernel for SIMD
2016-02-01 21:06:56 +01:00
m11800_a1.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m11800_a3.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m11900.cl
Remove MD4/MD5 *H1/*H2 functions and use original H functions. Modern compilers will find this easy optimization automatically
2016-01-29 18:38:34 +01:00
m12000.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m12200.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m12300.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m12400.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m12500.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m12600_a0.cl
Prepare _a0 kernel for SIMD
2016-02-01 21:06:56 +01:00
m12600_a1.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m12600_a3.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m12700.cl
Fixed all gpu code (see PR #179 for details)
2016-01-30 23:02:15 +01:00
m12800.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m12900.cl
Fixed compiler warnings (unused variable)
2016-01-25 13:32:45 +01:00
m13000.cl
Fixed compiler warnings (unused variable)
2016-01-25 13:32:45 +01:00
markov_be.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
markov_le.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
rp.c
Fix issue in https://github.com/hashcat/oclHashcat/issues/170
2016-01-27 20:01:08 +01:00
simd.c
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
types_ocl.c
Use a different workaround for a catalyst bug which takes effect in sha512crypt
2016-01-31 17:24:12 +01:00