iup-stack/fftw/doc/html/Multi_002dthreaded-FFTW.html

109 lines
5.2 KiB
HTML
Raw Permalink Normal View History

2023-02-20 16:44:45 +00:00
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
<html>
<!-- This manual is for FFTW
(version 3.3.10, 10 December 2020).
Copyright (C) 2003 Matteo Frigo.
Copyright (C) 2003 Massachusetts Institute of Technology.
Permission is granted to make and distribute verbatim copies of this
manual provided the copyright notice and this permission notice are
preserved on all copies.
Permission is granted to copy and distribute modified versions of this
manual under the conditions for verbatim copying, provided that the
entire resulting derived work is distributed under the terms of a
permission notice identical to this one.
Permission is granted to copy and distribute translations of this manual
into another language, under the above conditions for modified versions,
except that this permission notice may be stated in a translation
approved by the Free Software Foundation. -->
<!-- Created by GNU Texinfo 6.7, http://www.gnu.org/software/texinfo/ -->
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
<title>Multi-threaded FFTW (FFTW 3.3.10)</title>
<meta name="description" content="Multi-threaded FFTW (FFTW 3.3.10)">
<meta name="keywords" content="Multi-threaded FFTW (FFTW 3.3.10)">
<meta name="resource-type" content="document">
<meta name="distribution" content="global">
<meta name="Generator" content="makeinfo">
<link href="index.html" rel="start" title="Top">
<link href="Concept-Index.html" rel="index" title="Concept Index">
<link href="index.html#SEC_Contents" rel="contents" title="Table of Contents">
<link href="index.html" rel="up" title="Top">
<link href="Installation-and-Supported-Hardware_002fSoftware.html" rel="next" title="Installation and Supported Hardware/Software">
<link href="Multi_002ddimensional-Transforms.html" rel="prev" title="Multi-dimensional Transforms">
<style type="text/css">
<!--
a.summary-letter {text-decoration: none}
blockquote.indentedblock {margin-right: 0em}
div.display {margin-left: 3.2em}
div.example {margin-left: 3.2em}
div.lisp {margin-left: 3.2em}
kbd {font-style: oblique}
pre.display {font-family: inherit}
pre.format {font-family: inherit}
pre.menu-comment {font-family: serif}
pre.menu-preformatted {font-family: serif}
span.nolinebreak {white-space: nowrap}
span.roman {font-family: initial; font-weight: normal}
span.sansserif {font-family: sans-serif; font-weight: normal}
ul.no-bullet {list-style: none}
-->
</style>
</head>
<body lang="en">
<span id="Multi_002dthreaded-FFTW"></span><div class="header">
<p>
Next: <a href="Distributed_002dmemory-FFTW-with-MPI.html" accesskey="n" rel="next">Distributed-memory FFTW with MPI</a>, Previous: <a href="FFTW-Reference.html" accesskey="p" rel="prev">FFTW Reference</a>, Up: <a href="index.html" accesskey="u" rel="up">Top</a> &nbsp; [<a href="index.html#SEC_Contents" title="Table of contents" rel="contents">Contents</a>][<a href="Concept-Index.html" title="Index" rel="index">Index</a>]</p>
</div>
<hr>
<span id="Multi_002dthreaded-FFTW-1"></span><h2 class="chapter">5 Multi-threaded FFTW</h2>
<span id="index-parallel-transform"></span>
<p>In this chapter we document the parallel FFTW routines for
shared-memory parallel hardware. These routines, which support
parallel one- and multi-dimensional transforms of both real and
complex data, are the easiest way to take advantage of multiple
processors with FFTW. They work just like the corresponding
uniprocessor transform routines, except that you have an extra
initialization routine to call, and there is a routine to set the
number of threads to employ. Any program that uses the uniprocessor
FFTW can therefore be trivially modified to use the multi-threaded
FFTW.
</p>
<p>A shared-memory machine is one in which all CPUs can directly access
the same main memory, and such machines are now common due to the
ubiquity of multi-core CPUs. FFTW&rsquo;s multi-threading support allows
you to utilize these additional CPUs transparently from a single
program. However, this does not necessarily translate into
performance gains&mdash;when multiple threads/CPUs are employed, there is
an overhead required for synchronization that may outweigh the
computatational parallelism. Therefore, you can only benefit from
threads if your problem is sufficiently large.
<span id="index-shared_002dmemory"></span>
<span id="index-threads"></span>
</p>
<table class="menu" border="0" cellspacing="0">
<tr><td align="left" valign="top">&bull; <a href="Installation-and-Supported-Hardware_002fSoftware.html" accesskey="1">Installation and Supported Hardware/Software</a></td><td>&nbsp;&nbsp;</td><td align="left" valign="top">
</td></tr>
<tr><td align="left" valign="top">&bull; <a href="Usage-of-Multi_002dthreaded-FFTW.html" accesskey="2">Usage of Multi-threaded FFTW</a></td><td>&nbsp;&nbsp;</td><td align="left" valign="top">
</td></tr>
<tr><td align="left" valign="top">&bull; <a href="How-Many-Threads-to-Use_003f.html" accesskey="3">How Many Threads to Use?</a></td><td>&nbsp;&nbsp;</td><td align="left" valign="top">
</td></tr>
<tr><td align="left" valign="top">&bull; <a href="Thread-safety.html" accesskey="4">Thread safety</a></td><td>&nbsp;&nbsp;</td><td align="left" valign="top">
</td></tr>
</table>
</body>
</html>