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| cannam@127 | 25 <title>FFTW 3.3.5: Multi-threaded FFTW</title> | 
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| cannam@127 | 72 <a name="Multi_002dthreaded-FFTW"></a> | 
| cannam@127 | 73 <div class="header"> | 
| cannam@127 | 74 <p> | 
| cannam@127 | 75 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>   [<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> | 
| cannam@127 | 76 </div> | 
| cannam@127 | 77 <hr> | 
| cannam@127 | 78 <a name="Multi_002dthreaded-FFTW-1"></a> | 
| cannam@127 | 79 <h2 class="chapter">5 Multi-threaded FFTW</h2> | 
| cannam@127 | 80 | 
| cannam@127 | 81 <a name="index-parallel-transform"></a> | 
| cannam@127 | 82 <p>In this chapter we document the parallel FFTW routines for | 
| cannam@127 | 83 shared-memory parallel hardware.  These routines, which support | 
| cannam@127 | 84 parallel one- and multi-dimensional transforms of both real and | 
| cannam@127 | 85 complex data, are the easiest way to take advantage of multiple | 
| cannam@127 | 86 processors with FFTW.  They work just like the corresponding | 
| cannam@127 | 87 uniprocessor transform routines, except that you have an extra | 
| cannam@127 | 88 initialization routine to call, and there is a routine to set the | 
| cannam@127 | 89 number of threads to employ.  Any program that uses the uniprocessor | 
| cannam@127 | 90 FFTW can therefore be trivially modified to use the multi-threaded | 
| cannam@127 | 91 FFTW. | 
| cannam@127 | 92 </p> | 
| cannam@127 | 93 <p>A shared-memory machine is one in which all CPUs can directly access | 
| cannam@127 | 94 the same main memory, and such machines are now common due to the | 
| cannam@127 | 95 ubiquity of multi-core CPUs.  FFTW’s multi-threading support allows | 
| cannam@127 | 96 you to utilize these additional CPUs transparently from a single | 
| cannam@127 | 97 program.  However, this does not necessarily translate into | 
| cannam@127 | 98 performance gains—when multiple threads/CPUs are employed, there is | 
| cannam@127 | 99 an overhead required for synchronization that may outweigh the | 
| cannam@127 | 100 computatational parallelism.  Therefore, you can only benefit from | 
| cannam@127 | 101 threads if your problem is sufficiently large. | 
| cannam@127 | 102 <a name="index-shared_002dmemory"></a> | 
| cannam@127 | 103 <a name="index-threads"></a> | 
| cannam@127 | 104 </p> | 
| cannam@127 | 105 <table class="menu" border="0" cellspacing="0"> | 
| cannam@127 | 106 <tr><td align="left" valign="top">• <a href="Installation-and-Supported-Hardware_002fSoftware.html#Installation-and-Supported-Hardware_002fSoftware" accesskey="1">Installation and Supported Hardware/Software</a>:</td><td>  </td><td align="left" valign="top"> | 
| cannam@127 | 107 </td></tr> | 
| cannam@127 | 108 <tr><td align="left" valign="top">• <a href="Usage-of-Multi_002dthreaded-FFTW.html#Usage-of-Multi_002dthreaded-FFTW" accesskey="2">Usage of Multi-threaded FFTW</a>:</td><td>  </td><td align="left" valign="top"> | 
| cannam@127 | 109 </td></tr> | 
| cannam@127 | 110 <tr><td align="left" valign="top">• <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>  </td><td align="left" valign="top"> | 
| cannam@127 | 111 </td></tr> | 
| cannam@127 | 112 <tr><td align="left" valign="top">• <a href="Thread-safety.html#Thread-safety" accesskey="4">Thread safety</a>:</td><td>  </td><td align="left" valign="top"> | 
| cannam@127 | 113 </td></tr> | 
| cannam@127 | 114 </table> | 
| cannam@127 | 115 | 
| cannam@127 | 116 | 
| cannam@127 | 117 | 
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