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<div class="header">
  <div class="headertitle">
<div class="title">Using <a class="el" href="namespaceEigen.html" title="Namespace containing all symbols from the Eigen library. ">Eigen</a> in CUDA kernels </div>  </div>
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<div class="textblock"><p><b>Disclaimer:</b> this page is about an <b>experimental</b> feature in Eigen.</p>
<p>Staring from CUDA 5.0, the CUDA compiler, <code>nvcc</code>, is able to properly parse Eigen's code (almost). A few adaptations of the Eigen's code already allows to use some parts of Eigen in your own CUDA kernels. To this end you need the devel branch of Eigen, CUDA 5.0 or greater with GCC.</p>
<p>Known issues:</p>
<ul>
<li><code>nvcc</code> with MS Visual Studio does not work (patch welcome)</li>
<li><code>nvcc</code> with <code>clang</code> does not work (patch welcome)</li>
<li><code>nvcc</code> 5.5 with gcc-4.7 (or greater) has issues with the standard <code>&lt;limits&gt;</code> header file. To workaround this, you can add the following before including any other files: <div class="fragment"><div class="line"><span class="comment">// workaround issue between gcc &gt;= 4.7 and cuda 5.5</span></div><div class="line"><span class="preprocessor">#if (defined __GNUC__) &amp;&amp; (__GNUC__&gt;4 || __GNUC_MINOR__&gt;=7)</span></div><div class="line"><span class="preprocessor">  #undef _GLIBCXX_ATOMIC_BUILTINS</span></div><div class="line"><span class="preprocessor">  #undef _GLIBCXX_USE_INT128</span></div><div class="line"><span class="preprocessor">#endif</span></div></div><!-- fragment --></li>
<li>On 64bits system <a class="el" href="namespaceEigen.html" title="Namespace containing all symbols from the Eigen library. ">Eigen</a> uses <code>long</code> <code>int</code> as the default type for indexes and sizes. On CUDA device, it would make sense to default to 32 bits <code>int</code>. However, to keep host and CUDA code compatible, this cannot be done automatically by Eigen, and the user is thus required to define <code>EIGEN_DEFAULT_DENSE_INDEX_TYPE</code> to <code>int</code> throughout his code (or only for CUDA code if there is no interaction between host and CUDA code through Eigen's object). </li>
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