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			105 lines
		
	
	
		
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								<!-- This manual is for FFTW
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								(version 3.3.10, 10 December 2020).
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								Copyright (C) 2003 Matteo Frigo.
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								Copyright (C) 2003 Massachusetts Institute of Technology.
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								<title>FFTW MPI Performance Tips (FFTW 3.3.10)</title>
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								<meta name="description" content="FFTW MPI Performance Tips (FFTW 3.3.10)">
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								<link href="index.html" rel="start" title="Top">
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								<link href="Concept-Index.html" rel="index" title="Concept Index">
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								<link href="index.html#SEC_Contents" rel="contents" title="Table of Contents">
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								<link href="Distributed_002dmemory-FFTW-with-MPI.html" rel="up" title="Distributed-memory FFTW with MPI">
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								<link href="Combining-MPI-and-Threads.html" rel="next" title="Combining MPI and Threads">
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								<span id="FFTW-MPI-Performance-Tips"></span><div class="header">
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								<p>
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								Next: <a href="Combining-MPI-and-Threads.html" accesskey="n" rel="next">Combining MPI and Threads</a>, Previous: <a href="Avoiding-MPI-Deadlocks.html" accesskey="p" rel="prev">Avoiding MPI Deadlocks</a>, Up: <a href="Distributed_002dmemory-FFTW-with-MPI.html" accesskey="u" rel="up">Distributed-memory FFTW with MPI</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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								</div>
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								<hr>
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								<span id="FFTW-MPI-Performance-Tips-1"></span><h3 class="section">6.10 FFTW MPI Performance Tips</h3>
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								<p>In this section, we collect a few tips on getting the best performance
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								out of FFTW’s MPI transforms.
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								</p>
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								<p>First, because of the 1d block distribution, FFTW’s parallelization is
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								currently limited by the size of the first dimension.
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								(Multidimensional block distributions may be supported by a future
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								version.) More generally, you should ideally arrange the dimensions so
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								that FFTW can divide them equally among the processes. See <a href="Load-balancing.html">Load balancing</a>.
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								<span id="index-block-distribution-2"></span>
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								<span id="index-load-balancing-1"></span>
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								</p>
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								<p>Second, if it is not too inconvenient, you should consider working
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								with transposed output for multidimensional plans, as this saves a
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								considerable amount of communications.  See <a href="Transposed-distributions.html">Transposed distributions</a>.
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								<span id="index-transpose-3"></span>
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								</p>
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								<p>Third, the fastest choices are generally either an in-place transform
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								or an out-of-place transform with the <code>FFTW_DESTROY_INPUT</code> flag
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								(which allows the input array to be used as scratch space).  In-place
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								is especially beneficial if the amount of data per process is large.
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								<span id="index-FFTW_005fDESTROY_005fINPUT-1"></span>
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								</p>
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								<p>Fourth, if you have multiple arrays to transform at once, rather than
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								calling FFTW’s MPI transforms several times it usually seems to be
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								faster to interleave the data and use the advanced interface.  (This
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								groups the communications together instead of requiring separate
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								messages for each transform.)
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