BackTrack 3

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BackTrack 3BackTrack 4 CUDA Guide Written by Pureh@te 1Table of ContentsWhat is CUDA? ................................................................................................................................................................. 3Supported GPUs ................................................................................................................................................................ 3Why do I care about CUDA? .............................................................................................................................................. 3Where can I get this CUDA thing? ..................................................................................................................................... 3What is CUDA not? ........................................................................................................................................................... 4Getting started.................................................................................................................................................................... 4 Nvidia-drivers: ............................................................................................................................................................. 4 Overclocking: ............................................................................................................................................................... 5 Installing the CUDA toolkit and SDK : ......................................................................................................................... 8CUDA Tools .................................................................................................................................................................... 12 CUDA-multiforcer:..................................................................................................................................................... 12 Pyrit ........................................................................................................................................................................... 14 What is pyrit? ........................................................................................................................................................ 14 Up and running with pyrit ...................................................................................................................................... 14 Making sure Pyrit is working: ................................................................................................................................ 15 Passthrough Mode: ................................................................................................................................................ 16 Passthrough with Crunch: ...................................................................................................................................... 17 Server / Client Mode: ............................................................................................................................................ 21 Building aircrack-ng with CUDA support: .................................................................................................................. 23 Cuda Debugger: .......................................................................................................................................................... 24Useful Links: ................................................................................................................................................................... 25Special Thanks: ................................................................................................................................................................ 25 2What is CUDA?CUDA (an acronym for Compute Unified Device Architecture) is a parallel computing architecturedeveloped by NVIDIA. CUDA lets programmers utilize a dedicated driver written using C languagesubroutines to offload data processing to the graphics processing hardware found on Nvidias late-model GeForce graphics hardware. The software lets programmers use the cards to process dataother than just graphics, without having to learn OpenGL or how to talk with the card specifically.Since CUDA tools first emerged in late 2006, Nvidias seen them used in everything from consumersoftware to industrial products, and the applications are limitless.Supported GPUsA complete list of supported GPUs can be found at the following link:http://en.wikipedia.org/wiki/CUDA#Supported_GPUsWhy do I care about CUDA?Hardware acceleration o ...