mirror of
https://github.com/hashcat/hashcat.git
synced 2024-11-27 02:18:21 +00:00
e47030ed7d
This release markes the fusion of "hashcat" and "oclHashcat" into "hashcat". It combines all features of all hashcat projects in one project.
343 lines
22 KiB
Plaintext
343 lines
22 KiB
Plaintext
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# This file is used to override autotune settings
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# This file is used to preset the Vector-Width, the Kernel-Accept and the Kernel-Loops Value per Device, Attack-Mode and Hash-Type
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#
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# - A valid line consists of the following fields (in that order):
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# - Device-Name
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# - Attack-Mode
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# - Hash-Type
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# - Vector-Width
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# - Kernel-Accel
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# - Kernel-Loops
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# - The first three columns define the filter, the other three is what is assigned when that filter matches
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# - If no filter matches, autotune is used
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# - Columns are separated with one or many spaces or tabs
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# - A line can not start with a space or a tab
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# - Comment lines are allowed, use a # as first character
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# - Invalid lines are ignored
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# - The Device-Name is the OpenCL Device-Name. It's shown on hashcat startup.
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# - If the device contains spaces, replace all spaces with _ character.
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# - The Device-Name can be assigned an alias. This is useful if many devices share the same chip
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# - There's also a hard-wired Device-Name which matches all device types called:
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# - DEVICE_TYPE_CPU
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# - DEVICE_TYPE_GPU
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# - DEVICE_TYPE_ACCELERATOR
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# - The use of wildcards is allowed, some rules:
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# - Wildcards can only replace an entire Device-Name, not parts just of it. eg: not Geforce_*
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# - The policy is local > global, means the closer you configure something, the more likely it is selected
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# - The policy testing order is from left to right
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# - Attack modes can be:
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# - 0 = Dictionary-Attack
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# - 1 = Combinator-Attack, will also be used for attack-mode 6 and 7 since they share the same kernel
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# - 3 = Mask-Attack
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# - The Kernel-Accel is a multiplier to OpenCL's concept of a workitem, not the workitem count
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# - The Kernel-Loops has a functionality depending on the hash-type:
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# - Slow Hash: Number of iterations calculated per workitem
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# - Fast Hash: Number of mutations calculated per workitem
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# - None of both should be confused with the OpenCL concept of a "thread", this one is maintained automatically
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# - The Vector-Width can have only the values 1, 2, 4, 8 or 'N', where 'N' stands for native, which is an OpenCl-queried data value
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# - The Kernel-Accel is limited to 1024
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# - The Kernel-Loops is limited to 1024
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# - The Kernel-Accel can have 'A', where 'A' stands for autotune
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# - The Kernel-Loops can have 'A', where 'A' stands for autotune
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#############
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## ALIASES ##
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#############
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#Device Alias
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#Name Name
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Quadro_K2200 ALIAS_nv_use_simd
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Quadro_K1200 ALIAS_nv_use_simd
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Quadro_K620 ALIAS_nv_use_simd
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Quadro_M5500M ALIAS_nv_use_simd
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Quadro_M5000M ALIAS_nv_use_simd
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Quadro_M4000M ALIAS_nv_use_simd
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Quadro_M3000M ALIAS_nv_use_simd
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Quadro_K2200M ALIAS_nv_use_simd
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Quadro_M2000M ALIAS_nv_use_simd
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Quadro_M1000M ALIAS_nv_use_simd
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Quadro_K620M ALIAS_nv_use_simd
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Quadro_M600M ALIAS_nv_use_simd
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Quadro_M500M ALIAS_nv_use_simd
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NVIDIA_NVS_810 ALIAS_nv_use_simd
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GeForce_GTX_750_Ti ALIAS_nv_use_simd
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GeForce_GTX_750 ALIAS_nv_use_simd
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GeForce_GTX_960M ALIAS_nv_use_simd
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GeForce_GTX_950M ALIAS_nv_use_simd
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GeForce_GTX_940M ALIAS_nv_use_simd
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GeForce_GTX_930M ALIAS_nv_use_simd
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GeForce_GTX_850M ALIAS_nv_use_simd
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GeForce_840M ALIAS_nv_use_simd
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GeForce_830M ALIAS_nv_use_simd
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GeForce_940M ALIAS_nv_use_simd
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GeForce_930M ALIAS_nv_use_simd
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GeForce_840M ALIAS_nv_use_simd
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GeForce_830M ALIAS_nv_use_simd
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Tesla_C2050 ALIAS_nv_use_simd
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Tesla_C2050/C2070 ALIAS_nv_use_simd
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Tesla_C2070 ALIAS_nv_use_simd
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Tesla_C2075 ALIAS_nv_use_simd
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Tesla_K10 ALIAS_nv_use_simd
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Tesla_K20 ALIAS_nv_use_simd
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Tesla_K40 ALIAS_nv_use_simd
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Tesla_K80 ALIAS_nv_use_simd
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Tesla_M20xx ALIAS_nv_use_simd
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Quadro_410 ALIAS_nv_use_simd
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Quadro_K2000 ALIAS_nv_use_simd
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Quadro_K2000D ALIAS_nv_use_simd
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Quadro_K4000 ALIAS_nv_use_simd
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Quadro_K420 ALIAS_nv_use_simd
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Quadro_K4200 ALIAS_nv_use_simd
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Quadro_K5000 ALIAS_nv_use_simd
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Quadro_K5200 ALIAS_nv_use_simd
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Quadro_K600 ALIAS_nv_use_simd
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Quadro_K6000 ALIAS_nv_use_simd
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Quadro_Plex_7000 ALIAS_nv_use_simd
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NVIDIA_NVS_310 ALIAS_nv_use_simd
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NVIDIA_NVS_315 ALIAS_nv_use_simd
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NVIDIA_NVS_510 ALIAS_nv_use_simd
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NVS_310 ALIAS_nv_use_simd
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NVS_315 ALIAS_nv_use_simd
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NVS_4200M ALIAS_nv_use_simd
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NVS_510 ALIAS_nv_use_simd
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NVS_5200M ALIAS_nv_use_simd
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NVS_5400M ALIAS_nv_use_simd
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GeForce_410M ALIAS_nv_use_simd
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GeForce_610M ALIAS_nv_use_simd
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GeForce_705M ALIAS_nv_use_simd
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GeForce_710M ALIAS_nv_use_simd
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GeForce_800M ALIAS_nv_use_simd
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GeForce_820M ALIAS_nv_use_simd
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GeForce_920M ALIAS_nv_use_simd
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GeForce_GT_410M ALIAS_nv_use_simd
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GeForce_GT_415M ALIAS_nv_use_simd
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GeForce_GT_420M ALIAS_nv_use_simd
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GeForce_GT_430 ALIAS_nv_use_simd
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GeForce_GT_435M ALIAS_nv_use_simd
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GeForce_GT_440 ALIAS_nv_use_simd
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GeForce_GT_445M ALIAS_nv_use_simd
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GeForce_GT_520 ALIAS_nv_use_simd
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GeForce_GT_520M ALIAS_nv_use_simd
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GeForce_GT_520MX ALIAS_nv_use_simd
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GeForce_GT_525M ALIAS_nv_use_simd
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GeForce_GT_540M ALIAS_nv_use_simd
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GeForce_GT_550M ALIAS_nv_use_simd
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GeForce_GT_555M ALIAS_nv_use_simd
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GeForce_GT_610 ALIAS_nv_use_simd
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GeForce_GT_620 ALIAS_nv_use_simd
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GeForce_GT_620M ALIAS_nv_use_simd
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GeForce_GT_625M ALIAS_nv_use_simd
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GeForce_GT_630 ALIAS_nv_use_simd
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GeForce_GT_630M ALIAS_nv_use_simd
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GeForce_GT_635M ALIAS_nv_use_simd
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GeForce_GT_640 ALIAS_nv_use_simd
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GeForce_GT_640M ALIAS_nv_use_simd
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GeForce_GT_640M_LE ALIAS_nv_use_simd
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GeForce_GT_645M ALIAS_nv_use_simd
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GeForce_GT_650M ALIAS_nv_use_simd
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GeForce_GT_705 ALIAS_nv_use_simd
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GeForce_GT_720 ALIAS_nv_use_simd
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GeForce_GT_720M ALIAS_nv_use_simd
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GeForce_GT_730 ALIAS_nv_use_simd
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GeForce_GT_730M ALIAS_nv_use_simd
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GeForce_GT_735M ALIAS_nv_use_simd
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GeForce_GT_740 ALIAS_nv_use_simd
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GeForce_GT_740M ALIAS_nv_use_simd
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GeForce_GT_745M ALIAS_nv_use_simd
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GeForce_GT_750M ALIAS_nv_use_simd
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GeForce_GTS_450 ALIAS_nv_use_simd
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GeForce_GTX_460 ALIAS_nv_use_simd
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GeForce_GTX_460M ALIAS_nv_use_simd
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GeForce_GTX_465 ALIAS_nv_use_simd
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GeForce_GTX_470 ALIAS_nv_use_simd
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GeForce_GTX_470M ALIAS_nv_use_simd
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GeForce_GTX_480 ALIAS_nv_use_simd
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GeForce_GTX_480M ALIAS_nv_use_simd
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GeForce_GTX_485M ALIAS_nv_use_simd
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GeForce_GTX_550_Ti ALIAS_nv_use_simd
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GeForce_GTX_560M ALIAS_nv_use_simd
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GeForce_GTX_560_Ti ALIAS_nv_use_simd
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GeForce_GTX_570 ALIAS_nv_use_simd
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GeForce_GTX_570M ALIAS_nv_use_simd
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GeForce_GTX_580 ALIAS_nv_use_simd
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GeForce_GTX_580M ALIAS_nv_use_simd
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GeForce_GTX_590 ALIAS_nv_use_simd
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GeForce_GTX_610M ALIAS_nv_use_simd
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GeForce_GTX_650 ALIAS_nv_use_simd
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GeForce_GTX_650_Ti ALIAS_nv_use_simd
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GeForce_GTX_650_Ti_BOOST ALIAS_nv_use_simd
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GeForce_GTX_660 ALIAS_nv_use_simd
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GeForce_GTX_660M ALIAS_nv_use_simd
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GeForce_GTX_660_Ti ALIAS_nv_use_simd
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GeForce_GTX_670 ALIAS_nv_use_simd
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GeForce_GTX_670M ALIAS_nv_use_simd
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GeForce_GTX_670MX ALIAS_nv_use_simd
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GeForce_GTX_675M ALIAS_nv_use_simd
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GeForce_GTX_675MX ALIAS_nv_use_simd
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GeForce_GTX_680 ALIAS_nv_use_simd
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GeForce_GTX_680M ALIAS_nv_use_simd
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GeForce_GTX_680MX ALIAS_nv_use_simd
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GeForce_GTX_690 ALIAS_nv_use_simd
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GeForce_GTX_705M ALIAS_nv_use_simd
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GeForce_GTX_710M ALIAS_nv_use_simd
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GeForce_GTX_760 ALIAS_nv_use_simd
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GeForce_GTX_760M ALIAS_nv_use_simd
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GeForce_GTX_765M ALIAS_nv_use_simd
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GeForce_GTX_770 ALIAS_nv_use_simd
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GeForce_GTX_770M ALIAS_nv_use_simd
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GeForce_GTX_780 ALIAS_nv_use_simd
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GeForce_GTX_780M ALIAS_nv_use_simd
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GeForce_GTX_780_Ti ALIAS_nv_use_simd
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GeForce_GTX_800M ALIAS_nv_use_simd
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GeForce_GTX_820M ALIAS_nv_use_simd
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GeForce_GTX_860M ALIAS_nv_use_simd
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GeForce_GTX_870M ALIAS_nv_use_simd
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GeForce_GTX_880M ALIAS_nv_use_simd
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GeForce_GTX_920M ALIAS_nv_use_simd
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GeForce_GTX_TITAN ALIAS_nv_vanilla_titan
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GeForce_GTX_TITAN_Black ALIAS_nv_use_simd
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GeForce_GTX_TITAN_Z ALIAS_nv_use_simd
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#############
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## ENTRIES ##
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#############
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DEVICE_TYPE_CPU * * N A A
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DEVICE_TYPE_CPU * 6100 1 A A
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DEVICE_TYPE_CPU * 6900 1 A A
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#Device Attack Hash Vector Kernel Kernel
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#Name Mode Type Width Accel Loops
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ALIAS_nv_use_simd * * 1 A A
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ALIAS_nv_use_simd * 0 4 A A
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ALIAS_nv_use_simd * 10 4 A A
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ALIAS_nv_use_simd * 11 4 A A
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ALIAS_nv_use_simd * 12 4 A A
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ALIAS_nv_use_simd * 20 2 A A
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ALIAS_nv_use_simd * 21 2 A A
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ALIAS_nv_use_simd * 22 2 A A
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ALIAS_nv_use_simd * 23 2 A A
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ALIAS_nv_use_simd * 30 4 A A
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ALIAS_nv_use_simd * 40 2 A A
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ALIAS_nv_use_simd * 200 4 A A
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ALIAS_nv_use_simd * 400 2 A A
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ALIAS_nv_use_simd * 900 4 A A
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ALIAS_nv_use_simd * 1000 4 A A
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ALIAS_nv_use_simd * 1100 2 A A
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ALIAS_nv_use_simd * 2400 2 A A
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ALIAS_nv_use_simd * 2410 2 A A
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ALIAS_nv_use_simd * 2600 2 A A
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ALIAS_nv_use_simd * 2611 2 A A
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ALIAS_nv_use_simd * 2612 2 A A
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ALIAS_nv_use_simd * 2711 2 A A
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ALIAS_nv_use_simd * 2811 2 A A
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ALIAS_nv_use_simd * 3711 2 A A
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ALIAS_nv_use_simd * 5100 2 A A
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ALIAS_nv_use_simd * 5500 2 A A
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ALIAS_nv_use_simd * 9900 4 A A
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ALIAS_nv_use_simd * 10100 2 A A
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ALIAS_nv_use_simd * 11000 2 A A
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ALIAS_nv_use_simd * 11100 2 A A
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ALIAS_nv_vanilla_titan * * 1 A A
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ALIAS_nv_vanilla_titan * 0 4 A A
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ALIAS_nv_vanilla_titan * 11 4 A A
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ALIAS_nv_vanilla_titan * 12 4 A A
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ALIAS_nv_vanilla_titan * 21 1 A A
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ALIAS_nv_vanilla_titan * 22 1 A A
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ALIAS_nv_vanilla_titan * 23 1 A A
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ALIAS_nv_vanilla_titan * 30 4 A A
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ALIAS_nv_vanilla_titan * 200 2 A A
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ALIAS_nv_vanilla_titan * 400 1 A A
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ALIAS_nv_vanilla_titan * 900 4 A A
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ALIAS_nv_vanilla_titan * 1000 4 A A
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ALIAS_nv_vanilla_titan * 1100 4 A A
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ALIAS_nv_vanilla_titan * 2400 4 A A
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ALIAS_nv_vanilla_titan * 2410 2 A A
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ALIAS_nv_vanilla_titan * 2600 2 A A
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ALIAS_nv_vanilla_titan * 2611 2 A A
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ALIAS_nv_vanilla_titan * 2612 2 A A
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ALIAS_nv_vanilla_titan * 2711 2 A A
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ALIAS_nv_vanilla_titan * 2811 2 A A
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ALIAS_nv_vanilla_titan * 3711 1 A A
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ALIAS_nv_vanilla_titan * 5100 2 A A
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ALIAS_nv_vanilla_titan * 5500 1 A A
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ALIAS_nv_vanilla_titan * 9900 2 A A
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ALIAS_nv_vanilla_titan * 10100 2 A A
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ALIAS_nv_vanilla_titan * 11000 2 A A
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ALIAS_nv_vanilla_titan * 11100 2 A A
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##############
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## OSX Iris ##
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##############
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Iris * * 1 A 2
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Iris * 400 1 A 256
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Iris * 500 1 8 256
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Iris * 501 1 8 256
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Iris * 1500 1 A 256
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Iris * 1600 1 8 256
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Iris * 1800 1 1 16
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Iris * 2100 1 8 256
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Iris * 2500 1 2 256
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Iris * 3000 1 A 256
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Iris * 5200 1 8 256
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Iris * 5800 1 8 256
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Iris * 6211 1 8 200
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Iris * 6212 1 8 200
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Iris * 6213 1 8 200
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Iris * 6221 1 4 200
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Iris * 6222 1 4 200
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Iris * 6223 1 4 200
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Iris * 6231 1 4 200
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Iris * 6232 1 4 200
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Iris * 6233 1 4 200
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Iris * 6241 1 4 200
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Iris * 6242 1 4 200
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Iris * 6243 1 4 200
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Iris * 6300 1 8 256
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Iris * 6400 1 8 256
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Iris * 6500 1 8 256
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Iris * 6600 1 8 200
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Iris * 6700 1 8 256
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Iris * 6800 1 2 200
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Iris * 7100 1 1 256
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Iris * 7200 1 1 200
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Iris * 7400 1 2 200
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Iris * 7900 1 1 256
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Iris * 8800 1 8 256
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Iris * 8900 1 1 1
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Iris * 9000 1 2 16
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Iris * 9100 1 4 256
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Iris * 9200 1 1 200
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Iris * 9300 1 1 1
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Iris * 9400 1 1 200
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Iris * 9500 1 1 200
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Iris * 9600 1 1 200
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Iris * 10000 1 1 200
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Iris * 10300 1 8 128
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Iris * 10500 1 4 64
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Iris * 10900 1 2 200
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Iris * 11300 1 1 1
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Iris * 11600 1 1 512
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Iris * 11900 1 2 200
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Iris * 12000 1 2 200
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Iris * 12100 1 2 200
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Iris * 12200 1 1 256
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Iris * 12300 1 2 256
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Iris * 12400 1 1 256
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Iris * 12500 1 1 256
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Iris * 12700 1 64 10
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Iris * 12800 1 64 100
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Iris * 12900 1 8 64
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Iris * 13000 1 1 64
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