Sophie

Sophie

distrib > Mageia > 2 > i586 > media > nonfree-release > by-pkgid > f86555c654b1f4a4c7ccf47789979868 > files > 1197

nvidia-cuda-toolkit-devel-4.2.9-2.mga2.nonfree.i586.rpm

<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html><head><meta http-equiv="Content-Type" content="text/html;charset=UTF-8">
<title>NVIDIA CUDA Library: Mathematical Functions</title>
<link href="customdoxygen.css" rel="stylesheet" type="text/css">
<link href="tabs.css" rel="stylesheet" type="text/css">
</head><body>
<!-- Generated by Doxygen 1.5.8 -->
<div class="navigation" id="top">
  <div class="tabs">
    <ul>
      <li><a href="index.html"><span>Main&nbsp;Page</span></a></li>
      <li><a href="modules.html"><span>Modules</span></a></li>
      <li><a href="annotated.html"><span>Data&nbsp;Structures</span></a></li>
      <li><a href="pages.html"><span>Related&nbsp;Pages</span></a></li>
    </ul>
  </div>
</div>
<div class="contents">
<h1>Mathematical Functions</h1><table border="0" cellpadding="0" cellspacing="0">
<tr><td></td></tr>
<tr><td colspan="2"><br><h2>Modules</h2></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__CUDA__MATH__SINGLE.html">Single Precision Mathematical Functions</a></td></tr>

<tr><td class="memItemLeft" nowrap align="right" valign="top">&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__CUDA__MATH__DOUBLE.html">Double Precision Mathematical Functions</a></td></tr>

<tr><td class="memItemLeft" nowrap align="right" valign="top">&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__CUDA__MATH__INTRINSIC__SINGLE.html">Single Precision Intrinsics</a></td></tr>

<tr><td class="memItemLeft" nowrap align="right" valign="top">&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__CUDA__MATH__INTRINSIC__DOUBLE.html">Double Precision Intrinsics</a></td></tr>

<tr><td class="memItemLeft" nowrap align="right" valign="top">&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__CUDA__MATH__INTRINSIC__INT.html">Integer Intrinsics</a></td></tr>

<tr><td class="memItemLeft" nowrap align="right" valign="top">&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__CUDA__MATH__INTRINSIC__CAST.html">Type Casting Intrinsics</a></td></tr>

</table>
<hr><a name="_details"></a><h2>Detailed Description</h2>
CUDA mathematical functions are always available in device code. Some functions are also available in host code as indicated.<p>
Note that floating-point functions are overloaded for different argument types. For example, the <a class="el" href="group__CUDA__MATH__DOUBLE_g28ce8e15ef5149c271eba95663becba2.html#g28ce8e15ef5149c271eba95663becba2" title="Calculate the base  logarithm of the input argument.">log()</a> function has the following prototypes: <div class="fragment"><pre class="fragment"> <span class="keywordtype">double</span> <a class="code" href="group__CUDA__MATH__DOUBLE_g28ce8e15ef5149c271eba95663becba2.html#g28ce8e15ef5149c271eba95663becba2" title="Calculate the base  logarithm of the input argument.">log</a>(<span class="keywordtype">double</span> x);
 <span class="keywordtype">float</span> <a class="code" href="group__CUDA__MATH__DOUBLE_g28ce8e15ef5149c271eba95663becba2.html#g28ce8e15ef5149c271eba95663becba2" title="Calculate the base  logarithm of the input argument.">log</a>(<span class="keywordtype">float</span> x);
 <span class="keywordtype">float</span> <a class="code" href="group__CUDA__MATH__SINGLE_gcdaf041c4071f63cba0e51658b89ffa4.html#gcdaf041c4071f63cba0e51658b89ffa4" title="Calculate the natural logarithm of the input argument.">logf</a>(<span class="keywordtype">float</span> x);
</pre></div> </div>
<hr size="1"><address style="text-align: right;"><small>
Generated by Doxygen for NVIDIA CUDA Library &nbsp;<a
href="http://www.nvidia.com/cuda"><img src="nvidia_logo.jpg" alt="NVIDIA" align="middle" border="0" height="80"></a></small></address>
</body>
</html>