蜂鸟配送价格

書名： Kali Linux Cookbook
作者名： Willie L. Pritchett David De Smet
本章字?jǐn)?shù)： 303字
更新時(shí)間： 2021-07-23 16:08:07

Installing and configuring nVidia video card drivers

In this recipe, we will embrace Compute Unified Device Architecture (CUDA), the nVidia parallel computing architecture. The first step will be the installation of the nVidia developer display driver followed by the installation of the CUDA toolkit. This will give us dramatic increases in computer performance with the power of the GPU which will be used in scenarios like password cracking.

Note

For more information about CUDA, please visit their website at http://www.nvidia.com/object/cuda_home_new.html.

Getting ready

An Internet connection is required to complete this recipe.

The preparation of kernel headers is needed before starting this task, which is explained in the Preparing kernel headers recipe at the beginning of this chapter.

In order to accomplish the installation of the nVidia driver, the X session needs to be shut down.

How to do it...

Let's begin the process of installing and configuring the nVidia video card drivers:

Download the nVidia developer display driver according to your CPU architecture:

cd /tmp/
wget http://developer.download.nvidia.com/compute/cuda/4_1/rel/drivers/NVIDIA-Linux-x86_64-285.05.33.run

Install the driver:

chmod +x NVIDIA-Linux-x86_64-285.05.33.run
./NVIDIA-Linux-x86_64-285.05.33.run –kernel-source-path='/usr/src/linux'

Download the CUDA toolkit:

wget http://developer.download.nvidia.com/compute/cuda/4_1/rel/toolkit/cudatoolkit_4.1.28_linux_64_ubuntu11.04.run

Install the CUDA toolkit to /opt:

chmod +x cudatoolkit_4.1.28_linux_64_ubuntu11.04.run
./cudatoolkit_4.1.28_linux_64_ubuntu11.04.runConfigure the environment variables required for nvcc to work:
echo PATH=$PATH:/opt/cuda/bin >> ~/.bashrc
echo LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/opt/cuda/lib >> ~/.bashrc
echo export PATH >> ~/.bashrc
echo export LD_LIBRARY_PATH >> ~/.bashrc

Run the following command to make the variables take effect:
```
source ~/.bashrc
ldconfig
```

Install pyrit dependencies:

apt-get install libssl-dev python-dev python-scapy

Download and install the GPU powered tool, pyrit:

svn co http://pyrit.googlecode.com/svn/trunk/ pyrit_src
cd pyrit_src/pyrit
python setup.py build
python setup.py install

Finally, add the nVidia GPU module to pyrit:

cd /tmp/pyrit_src/cpyrit_cuda
python setup.py build
python setup.py install

Note

To verify if nvcc is installed correctly, we issue the following command:

nvcc –V

To perform a benchmark, we simply type the following command:

pyrit benchmark

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Kali Linux Cookbook

Installing and configuring nVidia video card drivers

Note

Getting ready

How to do it...

Note