HOWTO : BackTrack 5 R2 on Intel X79 Express and nVidia display cards chipset

UPDATE : The better way is here.



Hardware



CPU : Intel i7-3930K (Socket 2011, 12 cores with HT)

Display card : 2 x nVidia GeForce GTX 590 (1024 CUDA cores per card)



Installation of BackTrack 5 R2



BackTrack 5 R2 can be boot up on Intel X79 Express chipset motherboard with 2 nVidia GeForce GTX 590 display cards. However, "nomodeset" should be applied to the boot option by pressing "tab" on the boot menu.



Install the BackTrack 5 R2 as usual. When it is required to reboot, do not remove the BackTrack 5 R2 CD. Boot up the CD accordingly. After the BackTrack 5 R2 is booted up, mount the hard drive and add "nomodeset" to boot option of the grub.cfg at /boot/grub.



After that, reboot the system and remove the CD. The system will be boot into BackTrack 5 R2 without problem.



If the kernel is upgraded, you should rebuild the kernel headers by the following steps :



prepare-kernel-sources

cd /usr/src/linux

cp -rf include/generated/* include/linux/



Installation of nVidia display driver



Go to nVidia Deleloper Zone CUDA Toolkit 4.1 to download the following. Do not enter to X11 by issuing "startx"; otherwise, the installation will be failed.



(1) Download "Latest Drivers for Linux (295.20)" for the nVidia Driver. You can download the driver before not going to the X11.



32-bit :

http://www.nvidia.com/object/linux-display-ia32-295.20-driver.html



64-bit :

http://www.nvidia.com/object/linux-display-amd64-295.20-driver.html



Installation :



32-bit :

chmod +x NVIDIA-Linux-x86-295.20.run

./NVIDIA-Linux-x86-295.20.run



64-bit :

chmod +x NVIDIA-Linux-x86_64-295.20.run

./NVIDIA-Linux-x86_64-295.20.run



After that, you can reboot your system.



Then run the following command to make the suitable resolution :

nvidia-xconfig



(2) Download "CUDA Toolkit for Ubuntu Linux 10.04" for the CUDA Toolkit.



32-bit :

wget http://developer.download.nvidia.com/compute/cuda/4_1/rel/toolkit/cudatoolkit_4.1.28_linux_32_ubuntu10.04.run



64-bit :

wget http://developer.download.nvidia.com/compute/cuda/4_1/rel/toolkit/cudatoolkit_4.1.28_linux_64_ubuntu10.04.run



chmod +x http://developer.download.nvidia.com/compute/cuda/4_1/rel/toolkit/cudatoolkit_4.1.28_linux_xx_ubuntu10.04.run



*** Accept the default settings.



(3) Download "GPU Computing SDK" for the nVidia SDK.



wget http://developer.download.nvidia.com/compute/cuda/4_1/rel/sdk/gpucomputingsdk_4.1.28_linux.run



chmod +x gpucomputingsdk_4.1.28_linux.run

./gpucomputingsdk_4.1.28_linux.run



nano /root/.bashrc



Append the following :



PATH=$PATH:/usr/local/cuda/bin

LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib:/usr/local/cuda/lib64

export PATH

export LD_LIBRARY



source /root/.bashrc

ldconfig



After that, reboot the system to make the nVidia driver effect.



Compile Sample code of CUDA



apt-get install freeglut3-dev libxi-dev libXmu-dev



cd NVIDIA_GPU_computing_SDK/C

make



Then, run the sample codes at :



cd NVIDIA_GPU_computing_SDK/C/bin/linux/release

./deviceQuery

./nbody



Installation of pyrit



Add the following to /etc/apt/sources.list :



deb http://security.ubuntu.com/ubuntu lucid-security main

apt-get update

apt-get libssl-dev scapy python-dev



Then, delete the newly added entry of the sources.list.



apt-get update



Go to the official site of pyrit.



cd ~

svn checkout http://pyrit.googlecode.com/svn/trunk/ pyrit



cd pyrit

python setup.py build

python setup.py install



cd cpyrit

python setup.py build

python setup.py install



To test if the installation is correct or not.



pyrit list_cores

pyrit benchmark

pyrit benchmark_long



Remarks :



Fix the splash :

fix-splash



Install the sensors :

apt-get install sensors-applet



Pyrit Cluster Setup

John the Ripper Cluster Setup



See Also : HOWTO : Pyrit Cluster with BackTrack 5 R2



*** Whenever the linux kernel is updated or upgraded, the nVidia driver should be required to reinstalled to match the upgraded kernel version.



That's all! See you.



Before water cooling







After water cooling