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			109 lines
		
	
	
		
			5.2 KiB
		
	
	
	
		
			HTML
		
	
	
	
	
	
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|  | (version 3.3.10, 10 December 2020). | ||
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|  | Copyright (C) 2003 Matteo Frigo. | ||
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|  | <span id="Multi_002dthreaded-FFTW"></span><div class="header"> | ||
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|  | 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>   [<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> | ||
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|  | <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’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—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> | ||
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|  | <tr><td align="left" valign="top">• <a href="Usage-of-Multi_002dthreaded-FFTW.html" accesskey="2">Usage of Multi-threaded FFTW</a></td><td>  </td><td align="left" valign="top"> | ||
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|  | <tr><td align="left" valign="top">• <a href="How-Many-Threads-to-Use_003f.html" accesskey="3">How Many Threads to Use?</a></td><td>  </td><td align="left" valign="top"> | ||
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