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Add FFTW 3.3.8 source, and a Linux build
author Chris Cannam
date Tue, 19 Nov 2019 14:52:55 +0000
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Chris@82 3 <!-- This manual is for FFTW
Chris@82 4 (version 3.3.8, 24 May 2018).
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Chris@82 6 Copyright (C) 2003 Matteo Frigo.
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Chris@82 8 Copyright (C) 2003 Massachusetts Institute of Technology.
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Chris@82 25 <title>FFTW 3.3.8: Multi-threaded FFTW</title>
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Chris@82 69
Chris@82 70 <body lang="en">
Chris@82 71 <a name="Multi_002dthreaded-FFTW"></a>
Chris@82 72 <div class="header">
Chris@82 73 <p>
Chris@82 74 Next: <a href="Distributed_002dmemory-FFTW-with-MPI.html#Distributed_002dmemory-FFTW-with-MPI" accesskey="n" rel="next">Distributed-memory FFTW with MPI</a>, Previous: <a href="FFTW-Reference.html#FFTW-Reference" accesskey="p" rel="prev">FFTW Reference</a>, Up: <a href="index.html#Top" 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#Concept-Index" title="Index" rel="index">Index</a>]</p>
Chris@82 75 </div>
Chris@82 76 <hr>
Chris@82 77 <a name="Multi_002dthreaded-FFTW-1"></a>
Chris@82 78 <h2 class="chapter">5 Multi-threaded FFTW</h2>
Chris@82 79
Chris@82 80 <a name="index-parallel-transform"></a>
Chris@82 81 <p>In this chapter we document the parallel FFTW routines for
Chris@82 82 shared-memory parallel hardware. These routines, which support
Chris@82 83 parallel one- and multi-dimensional transforms of both real and
Chris@82 84 complex data, are the easiest way to take advantage of multiple
Chris@82 85 processors with FFTW. They work just like the corresponding
Chris@82 86 uniprocessor transform routines, except that you have an extra
Chris@82 87 initialization routine to call, and there is a routine to set the
Chris@82 88 number of threads to employ. Any program that uses the uniprocessor
Chris@82 89 FFTW can therefore be trivially modified to use the multi-threaded
Chris@82 90 FFTW.
Chris@82 91 </p>
Chris@82 92 <p>A shared-memory machine is one in which all CPUs can directly access
Chris@82 93 the same main memory, and such machines are now common due to the
Chris@82 94 ubiquity of multi-core CPUs. FFTW&rsquo;s multi-threading support allows
Chris@82 95 you to utilize these additional CPUs transparently from a single
Chris@82 96 program. However, this does not necessarily translate into
Chris@82 97 performance gains&mdash;when multiple threads/CPUs are employed, there is
Chris@82 98 an overhead required for synchronization that may outweigh the
Chris@82 99 computatational parallelism. Therefore, you can only benefit from
Chris@82 100 threads if your problem is sufficiently large.
Chris@82 101 <a name="index-shared_002dmemory"></a>
Chris@82 102 <a name="index-threads"></a>
Chris@82 103 </p>
Chris@82 104 <table class="menu" border="0" cellspacing="0">
Chris@82 105 <tr><td align="left" valign="top">&bull; <a href="Installation-and-Supported-Hardware_002fSoftware.html#Installation-and-Supported-Hardware_002fSoftware" accesskey="1">Installation and Supported Hardware/Software</a>:</td><td>&nbsp;&nbsp;</td><td align="left" valign="top">
Chris@82 106 </td></tr>
Chris@82 107 <tr><td align="left" valign="top">&bull; <a href="Usage-of-Multi_002dthreaded-FFTW.html#Usage-of-Multi_002dthreaded-FFTW" accesskey="2">Usage of Multi-threaded FFTW</a>:</td><td>&nbsp;&nbsp;</td><td align="left" valign="top">
Chris@82 108 </td></tr>
Chris@82 109 <tr><td align="left" valign="top">&bull; <a href="How-Many-Threads-to-Use_003f.html#How-Many-Threads-to-Use_003f" accesskey="3">How Many Threads to Use?</a>:</td><td>&nbsp;&nbsp;</td><td align="left" valign="top">
Chris@82 110 </td></tr>
Chris@82 111 <tr><td align="left" valign="top">&bull; <a href="Thread-safety.html#Thread-safety" accesskey="4">Thread safety</a>:</td><td>&nbsp;&nbsp;</td><td align="left" valign="top">
Chris@82 112 </td></tr>
Chris@82 113 </table>
Chris@82 114
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