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<h1><a href="http://utappia.org/how-to-install-cuda-toolkit-on-ubuntu.html"> How to install CUDA Toolkit on Ubuntu </a></h1>
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<h4>Contents</h4>
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<ul>
<li><a href="#abstract">Abstract</a></li>
<li><a href="#introduction">Introduction</a></li>
<li><a href="#materials-and-methods">Materials and Methods</a><ul>
<li><a href="#hardware">Hardware</a></li>
<li><a href="#installation">Installation</a></li>
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<h1 id="abstract">Abstract</h1>
<p>The NVIDIA CUDA Toolkit provides a comprehensive development environment for C and C++ developers building GPU-accelerated applications. The CUDA Toolkit includes a compiler for NVIDIA GPUs, math libraries, and tools for debugging and optimizing the performance of your applications. You’ll also find programming guides, user manuals, API reference, and other documentation to help you get started quickly accelerating your application with GPUs</p>
<h1 id="introduction">Introduction</h1>
<p>This guide is based upon Ubuntu LTS, but same principles apply in
also to more recent versions of Ubuntu as well. Let's start</p>
<h1 id="materials-and-methods">Materials and Methods</h1>
<h3 id="hardware">Hardware</h3>
<p>You must have a nVIDIA GPU that supports CUDA, otherwise you can't
program in CUDA code. Here's a <a href="https://developer.nvidia.com/cuda-gpus">list</a> with the CUDA supported GPU models.</p>
<h3 id="installation">Installation</h3>
<p><strong>1- NVIDIA Proprietary drivers</strong></p>
<p>Either use our <a href="https://github.com/ubuntuxtreme/Nvidia-installer">nVIDIA installer script</a> or use Jockey (Additional Drivers) or just pick the driver you want from the NVIDIA
official <a href="http://www.nvidia.com/object/unix.html">website</a>.</p>
<p><strong>2- Download CUDA Toolkit 5.0 for Ubuntu</strong></p>
<p>I used the Ubuntu 11.10 32bit version (it's the latest version so far).
So please<a href="https://developer.nvidia.com/cuda-downloads">dowload</a>.</p>
<p><strong>3- Fix the libglut.so error</strong></p>
<p>There will be an error when you'll try to install the CUDA 5.0 examples.
The driver is trying to find the libglut.so file and it doesn't look for
other versions, such as so.1, so.2 etc.</p>
<p>First confirm that you have a libglut file</p>
<div class="highlight"><pre>sudo find /usr -name libglut\*
</pre></div>
<p>if it does so, symlink that file to libglut.so</p>
<ul>
<li>for 64bit</li>
</ul>
<div class="highlight"><pre>sudo ln -s /usr/lib/x86_64-linux-gnu/libglut.so.3 /usr/lib/libglut.so
</pre></div>
<ul>
<li>for 32bit</li>
</ul>
<div class="highlight"><pre>sudo ln -s /usr/lib/i386-linux-gnu/libglut.so.3 /usr/lib/libglut.so
</pre></div>
<p><strong>4- Install the CUDA Toolkit and Samples</strong></p>
<p>Press CTRL+ALT+F1 to open a shell -- yeah, we're going to do this in old
CLI way, but there's no need to afraid the black and white terminal.</p>
<p><strong>5- Shutdown the all the graphics</strong></p>
<p>Ubuntu uses lightdm, so you need to stop this service.</p>
<div class="highlight"><pre>sudo service lightdm stop
</pre></div>
<p><strong>6- Run the installer</strong></p>
<p>Go to (cd) to the directory you have the CUDA installer (a file with *.run extension) and type the following:</p>
<div class="highlight"><pre>sudo chmod +x *.run
sudo ./*.run
</pre></div>
<p>Accept the Licence and Install only the CUDA 5 Toolkit and the Samples.
DO NOT INSTALL the drivers because we have already done that.</p>
<p><strong>7- Enable the nvcc compiler</strong></p>
<p>In order to compile CUDA code you have to use the nvcc compile. In that
so you have to tweak some enviroment variables into your home bashrc
file.</p>
<ul>
<li>32 bit systems </li>
</ul>
<div class="highlight"><pre><span class="x">export PATH=</span><span class="p">$</span><span class="nv">PATH</span><span class="x">:/usr/local/cuda-5.0/bin export LD_LIBRARY_PATH=/usr/local/cuda-5.0/lib</span>
</pre></div>
<ul>
<li>64 bit systems </li>
</ul>
<div class="highlight"><pre><span class="x">export PATH=</span><span class="p">$</span><span class="nv">PATH</span><span class="x">:/usr/local/cuda-5.0/bin</span>
<span class="x">export LD_LIBRARY_PATH=/usr/local/cuda-5.0/lib64:/lib`</span>
</pre></div>
<p>If you want to compile a CUDA file (*.cu extension) you can use the
following command:</p>
<div class="highlight"><pre>nvcc -o file file.cu
./file
</pre></div>
<p>or use the <a href="http://docs.nvidia.com/cuda/nsight-eclipse-edition-getting-started-guide/index.html">NSight Eclipse Edition</a>.</p>
<h1 id="results-and-discussion">Results and discussion</h1>
<p>I hope this guide is helpful for anyone starting to create GPU-accelerated applications</p>
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<h4>Published</h4>
<time pubdate="pubdate" datetime="2013-02-14T14:45:00+02:00">Feb 14, 2013</time>
<h4>Category</h4>
<a class="category-link" href="http://utappia.org/categories.html#deployment-ref">Deployment</a>
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