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hashcat/OpenCL
History
Jens Steube 6bc98368ba Get rid of old pw_cache mechanism to control host-based vector data-types
2016-02-22 11:57:37 +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
New SIMD code for -a 1 prepare
2016-02-21 18:39:44 +01:00
kernel_aes256.c
Some cleanups
2016-02-04 15:47:52 +01:00
kernel_serpent256.c
Some cleanups
2016-02-04 15:47:52 +01:00
kernel_twofish256.c
Some cleanups
2016-02-04 15:47:52 +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
New SIMD code for -a 1 -m 0
2016-02-21 18:40:01 +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
Converted to new SIMD: -m 10 -a 0
2016-02-05 17:38:39 +01:00
m00010_a1.cl
New SIMD code for -a 1 -m 10
2016-02-21 18:40:06 +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
Converted to new SIMD: -m 20 -a 0
2016-02-05 17:41:05 +01:00
m00020_a1.cl
New SIMD code for -a 1 -m 20
2016-02-21 18:40:10 +01:00
m00020_a3.cl
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m00030_a0.cl
Converted to new SIMD: -m 30 -a 0
2016-02-05 17:41:08 +01:00
m00030_a1.cl
New SIMD code for -a 1 -m 30
2016-02-22 10:01:49 +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
Converted to new SIMD: -m 40 -a 0
2016-02-05 17:41:11 +01:00
m00040_a1.cl
New SIMD code for -a 1 -m 40
2016-02-22 10:01:53 +01:00
m00040_a3.cl
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m00050_a0.cl
Converted to new SIMD: -m 50 -a 0
2016-02-05 17:41:14 +01:00
m00050_a1.cl
New SIMD code for -a 1 -m 40
2016-02-22 10:01:55 +01:00
m00050_a3.cl
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m00060_a0.cl
Converted to new SIMD: -m 60 -a 0
2016-02-05 17:41:24 +01:00
m00060_a1.cl
New SIMD code for -a 1 -m 60
2016-02-22 10:02:23 +01:00
m00060_a3.cl
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m00100_a0.cl
Converted to new SIMD: -m 100 -a 0
2016-02-05 17:41:27 +01:00
m00100_a1.cl
New SIMD code for -a 1 -m 100
2016-02-22 10:09:16 +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 to new SIMD: -m 110 -a 0
2016-02-05 17:41:30 +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 to new SIMD: -m 120 -a 0
2016-02-05 17:41:33 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m00130_a0.cl
Converted to new SIMD: -m 130 -a 0
2016-02-05 17:41:36 +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 to new SIMD: -m 140 -a 0
2016-02-05 17:41:39 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m00150_a0.cl
Converted to new SIMD: -m 150 -a 0
2016-02-05 17:41:42 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m00160_a0.cl
Converted to new SIMD: -m 160 -a 0
2016-02-05 17:41:45 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m00190_a0.cl
Converted to new SIMD: -m 190 -a 0
2016-02-05 17:44:33 +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
Converted to new SIMD: -m 200 -a 0
2016-02-05 17:43:00 +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
Converted to new SIMD: -m 300 -a 0
2016-02-05 17:43:03 +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
Converted to new SIMD: -m 900 -a 0
2016-02-05 17:43:07 +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
Converted to new SIMD: -m 1100 -a 0
2016-02-05 17:43:10 +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
Converted to new SIMD: -m 1400 -a 0
2016-02-05 17:43:13 +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 to new SIMD: -m 1410 -a 0
2016-02-05 17:43:16 +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 to new SIMD: -m 1420 -a 0
2016-02-05 17:43:19 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m01430_a0.cl
Converted to new SIMD: -m 1430 -a 0
2016-02-05 17:43:22 +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 to new SIMD: -m 1440 -a 0
2016-02-05 17:43:25 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m01450_a0.cl
Converted to new SIMD: -m 1450 -a 0
2016-02-05 17:43:28 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m01460_a0.cl
Converted to new SIMD: -m 1460 -a 0
2016-02-05 17:43:31 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m01500_a0.cl
Allow and support vector-width 16, which is current maximum for
2016-02-18 08:51:45 +01:00
m01500_a1.cl
Fixed all gpu code (see PR 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
Converted to new SIMD: -m 1700 -a 0
2016-02-05 17:52:42 +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 to new SIMD: -m 1710 -a 0
2016-02-05 17:52:52 +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 to new SIMD: -m 1720 -a 0
2016-02-05 17:53:03 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m01730_a0.cl
Converted to new SIMD: -m 1730 -a 0
2016-02-05 17:54:04 +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 to new SIMD: -m 1740 -a 0
2016-02-05 17:55:55 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m01750_a0.cl
Converted to new SIMD: -m 1750 -a 0
2016-02-05 18:00:47 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m01760_a0.cl
Converted to new SIMD: -m 1760 -a 0
2016-02-05 18:01:37 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +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
Converted to new SIMD: -m 2400 -a 0
2016-02-05 18:11:54 +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
Converted to new SIMD: -m 2410 -a 0
2016-02-05 18:12:12 +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
Allow and support vector-width 16, which is current maximum for
2016-02-18 08:51:45 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m02710_a0.cl
Allow and support vector-width 16, which is current maximum for
2016-02-18 08:51:45 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m02810_a0.cl
Allow and support vector-width 16, which is current maximum for
2016-02-18 08:51:45 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m03000_a0.cl
Allow and support vector-width 16, which is current maximum for
2016-02-18 08:51:45 +01:00
m03000_a1.cl
Fixed all gpu code (see PR 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
Allow and support vector-width 16, which is current maximum for
2016-02-18 08:51:45 +01:00
m03100_a1.cl
Fixed m03100_a* Apple OpenCL compiler issue
2016-01-30 21:55:42 +01:00
m03100_a3.cl
Allow and support vector-width 16, which is current maximum for
2016-02-18 08:51:45 +01:00
m03200.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m03710_a0.cl
Allow and support vector-width 16, which is current maximum for
2016-02-18 08:51:45 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m03800_a0.cl
Converted to new SIMD: -m 3800 -a 0
2016-02-05 21:53:47 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m04310_a0.cl
Allow and support vector-width 16, which is current maximum for
2016-02-18 08:51:45 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m04400_a0.cl
Allow and support vector-width 16, which is current maximum for
2016-02-18 08:51:45 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m04500_a0.cl
Allow and support vector-width 16, which is current maximum for
2016-02-18 08:51:45 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m04700_a0.cl
Allow and support vector-width 16, which is current maximum for
2016-02-18 08:51:45 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m04800_a0.cl
Converted to new SIMD: -m 4800 -a 0
2016-02-06 10:11:07 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m04900_a0.cl
Converted to new SIMD: -m 4900 -a 0
2016-02-06 10:14:38 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m05000_a0.cl
Converted to new SIMD: -m 5000 -a 0
2016-02-06 11:29:07 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m05100_a0.cl
Converted to new SIMD: -m 5100 -a 0
2016-02-06 10:18:38 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m05200.cl
Converted _a3 kernels, use SIMD for CPU and GPU
2016-01-23 15:32:31 +01:00
m05300_a0.cl
Converted to new SIMD: -m 5300 -a 0
2016-02-06 10:19:54 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m05400_a0.cl
Converted to new SIMD: -m 5400 -a 0
2016-02-06 10:23:42 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m05500_a0.cl
Allow and support vector-width 16, which is current maximum for
2016-02-18 08:51:45 +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
Allow and support vector-width 16, which is current maximum for
2016-02-18 08:51:45 +01:00
m05600_a0.cl
Converted to new SIMD: -m 5600 -a 0
2016-02-06 10:35:59 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m05800.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m06000_a0.cl
Converted to new SIMD: -m 6000 -a 0
2016-02-06 10:38:39 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m06100_a0.cl
Allow and support vector-width 16, which is current maximum for
2016-02-18 08:51:45 +01:00
m06100_a1.cl
Fixed all gpu code (see PR for details)
2016-01-30 23:02:15 +01:00
m06100_a3.cl
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m06211.cl
Some cleanups
2016-02-04 15:47:52 +01:00
m06212.cl
Some cleanups
2016-02-04 15:47:52 +01:00
m06213.cl
Some cleanups
2016-02-04 15:47:52 +01:00
m06221.cl
Some cleanups
2016-02-04 15:47:52 +01:00
m06222.cl
Some cleanups
2016-02-04 15:47:52 +01:00
m06223.cl
Some cleanups
2016-02-04 15:47:52 +01:00
m06231.cl
Fix Truecrypt Whirlpool speed
2016-02-16 10:47:40 +01:00
m06232.cl
Some cleanups
2016-02-04 15:47:52 +01:00
m06233.cl
Some cleanups
2016-02-04 15:47:52 +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 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 for details)
2016-01-30 23:02:15 +01:00
m06900_a0.cl
Allow and support vector-width 16, which is current maximum for
2016-02-18 08:51:45 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m07100.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m07300_a0.cl
Converted to new SIMD: -m 7300 -a 0
2016-02-06 10:47:19 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +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 for details)
2016-01-30 23:02:15 +01:00
m07600_a0.cl
Allow and support vector-width 16, which is current maximum for
2016-02-18 08:51:45 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +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 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
Converted to new SIMD: -m 8000 -a 0
2016-02-06 10:54:34 +01:00
m08000_a1.cl
Fixed all gpu code (see PR for details)
2016-01-30 23:02:15 +01:00
m08000_a3.cl
Fixed all gpu code (see PR for details)
2016-01-30 23:02:15 +01:00
m08100_a0.cl
Converted to new SIMD: -m 8100 -a 0
2016-02-06 10:57:19 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m08200.cl
Upgrade kernel to support dynamic local work sizes
2016-01-19 16:06:03 +01:00
m08300_a0.cl
Converted to new SIMD: -m 8300 -a 0
2016-02-06 10:58:20 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m08400_a0.cl
Allow and support vector-width 16, which is current maximum for
2016-02-18 08:51:45 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m08500_a0.cl
Allow and support vector-width 16, which is current maximum for
2016-02-18 08:51:45 +01:00
m08500_a1.cl
Fix warp bug on -m 8500
2016-02-16 13:24:36 +01:00
m08500_a3.cl
Allow and support vector-width 16, which is current maximum for
2016-02-18 08:51:45 +01:00
m08600_a0.cl
Allow and support vector-width 16, which is current maximum for
2016-02-18 08:51:45 +01:00
m08600_a1.cl
Fixed all gpu code (see PR for details)
2016-01-30 23:02:15 +01:00
m08600_a3.cl
Allow and support vector-width 16, which is current maximum for
2016-02-18 08:51:45 +01:00
m08700_a0.cl
Allow and support vector-width 16, which is current maximum for
2016-02-18 08:51:45 +01:00
m08700_a1.cl
Fixed all gpu code (see PR for details)
2016-01-30 23:02:15 +01:00
m08700_a3.cl
Allow and support vector-width 16, which is current maximum for
2016-02-18 08:51:45 +01:00
m08800.cl
Fixed all gpu code (see PR 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 for details)
2016-01-30 23:02:15 +01:00
m09400.cl
Fixed all gpu code (see PR for details)
2016-01-30 23:02:15 +01:00
m09500.cl
Fixed all gpu code (see PR for details)
2016-01-30 23:02:15 +01:00
m09600.cl
Fixed all gpu code (see PR 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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m09720_a0.cl
Converted to new SIMD: -m 9720 -a 0
2016-02-06 11:29:00 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m09820_a0.cl
Converted to new SIMD: -m 9820 -a 0
2016-02-06 11:28:55 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m09900_a0.cl
Converted to new SIMD: -m 9900 -a 0
2016-02-06 11:28:30 +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
Converted to new SIMD: -m 10100 -a 0
2016-02-04 23:12:24 +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
Converted to new SIMD: -m 10100 -a 0
2016-02-04 23:12:24 +01:00
m10400_a1.cl
Fixed all gpu code (see PR for details)
2016-01-30 23:02:15 +01:00
m10400_a3.cl
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m10410_a0.cl
Fixed __constant in m10410 (see PR for details)
2016-01-31 19:17:33 +01:00
m10410_a1.cl
Fixed __constant in m10410 (see PR for details)
2016-01-31 19:17:33 +01:00
m10410_a3.cl
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m10420_a0.cl
Converted to new SIMD: -m 10420 -a 0
2016-02-04 22:57:50 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +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
Autotuning engine prototype
2016-02-14 15:45:52 +01:00
m10800_a0.cl
Converted to new SIMD: -m 10800 -a 0
2016-02-04 22:52:01 +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
Converted to new SIMD: -m 11000 -a 0
2016-02-04 22:47:02 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m11100_a0.cl
Allow and support vector-width 16, which is current maximum for
2016-02-18 08:51:45 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m11200_a0.cl
Converted to new SIMD: -m 11200 -a 0
2016-02-04 22:31:51 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m11300.cl
Fixed all gpu code (see PR for details)
2016-01-30 23:02:15 +01:00
m11400_a0.cl
Allow and support vector-width 16, which is current maximum for
2016-02-18 08:51:45 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m11500_a0.cl
Allow and support vector-width 16, which is current maximum for
2016-02-18 08:51:45 +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
Allow and support vector-width 16, which is current maximum for
2016-02-18 08:51:45 +01:00
m11600.cl
Fixed all gpu code (see PR for details)
2016-01-30 23:02:15 +01:00
m11700_a0.cl
Allow and support vector-width 16, which is current maximum for
2016-02-18 08:51:45 +01:00
m11700_a1.cl
Fixed all gpu code (see PR for details)
2016-01-30 23:02:15 +01:00
m11700_a3.cl
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m11800_a0.cl
Allow and support vector-width 16, which is current maximum for
2016-02-18 08:51:45 +01:00
m11800_a1.cl
Fixed all gpu code (see PR for details)
2016-01-30 23:02:15 +01:00
m11800_a3.cl
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +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 for details)
2016-01-30 23:02:15 +01:00
m12500.cl
Fixed all gpu code (see PR for details)
2016-01-30 23:02:15 +01:00
m12600_a0.cl
Allow and support vector-width 16, which is current maximum for
2016-02-18 08:51:45 +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
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
m12700.cl
Fixed all gpu code (see PR 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
m13100_a0.cl
Add verification of checksum for -m 13100
2016-02-19 23:12:46 +01:00
m13100_a1.cl
Add verification of checksum for -m 13100
2016-02-19 23:12:46 +01:00
m13100_a3.cl
Add verification of checksum for -m 13100
2016-02-19 23:12:46 +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
Allow and support vector-width 16, which is current maximum for
2016-02-18 08:51:45 +01:00
simd.c
Prepare NEW_SIMD_MODE for -a 1 kernels
2016-02-20 16:13:06 +01:00
types_ocl.c
Get rid of old pw_cache mechanism to control host-based vector data-types
2016-02-22 11:57:37 +01:00