annotate src/fftw-3.3.8/doc/html/FFTW-MPI-Performance-Tips.html @ 167:bd3cc4d1df30

Add FFTW 3.3.8 source, and a Linux build
author Chris Cannam <cannam@all-day-breakfast.com>
date Tue, 19 Nov 2019 14:52:55 +0000
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cannam@167 3 <!-- This manual is for FFTW
cannam@167 4 (version 3.3.8, 24 May 2018).
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cannam@167 6 Copyright (C) 2003 Matteo Frigo.
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cannam@167 8 Copyright (C) 2003 Massachusetts Institute of Technology.
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cannam@167 24 <head>
cannam@167 25 <title>FFTW 3.3.8: FFTW MPI Performance Tips</title>
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cannam@167 36 <link href="Distributed_002dmemory-FFTW-with-MPI.html#Distributed_002dmemory-FFTW-with-MPI" rel="up" title="Distributed-memory FFTW with MPI">
cannam@167 37 <link href="Combining-MPI-and-Threads.html#Combining-MPI-and-Threads" rel="next" title="Combining MPI and Threads">
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cannam@167 70 <body lang="en">
cannam@167 71 <a name="FFTW-MPI-Performance-Tips"></a>
cannam@167 72 <div class="header">
cannam@167 73 <p>
cannam@167 74 Next: <a href="Combining-MPI-and-Threads.html#Combining-MPI-and-Threads" accesskey="n" rel="next">Combining MPI and Threads</a>, Previous: <a href="Avoiding-MPI-Deadlocks.html#Avoiding-MPI-Deadlocks" accesskey="p" rel="prev">Avoiding MPI Deadlocks</a>, Up: <a href="Distributed_002dmemory-FFTW-with-MPI.html#Distributed_002dmemory-FFTW-with-MPI" accesskey="u" rel="up">Distributed-memory FFTW with MPI</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>
cannam@167 75 </div>
cannam@167 76 <hr>
cannam@167 77 <a name="FFTW-MPI-Performance-Tips-1"></a>
cannam@167 78 <h3 class="section">6.10 FFTW MPI Performance Tips</h3>
cannam@167 79
cannam@167 80 <p>In this section, we collect a few tips on getting the best performance
cannam@167 81 out of FFTW&rsquo;s MPI transforms.
cannam@167 82 </p>
cannam@167 83 <p>First, because of the 1d block distribution, FFTW&rsquo;s parallelization is
cannam@167 84 currently limited by the size of the first dimension.
cannam@167 85 (Multidimensional block distributions may be supported by a future
cannam@167 86 version.) More generally, you should ideally arrange the dimensions so
cannam@167 87 that FFTW can divide them equally among the processes. See <a href="Load-balancing.html#Load-balancing">Load balancing</a>.
cannam@167 88 <a name="index-block-distribution-2"></a>
cannam@167 89 <a name="index-load-balancing-1"></a>
cannam@167 90 </p>
cannam@167 91
cannam@167 92 <p>Second, if it is not too inconvenient, you should consider working
cannam@167 93 with transposed output for multidimensional plans, as this saves a
cannam@167 94 considerable amount of communications. See <a href="Transposed-distributions.html#Transposed-distributions">Transposed distributions</a>.
cannam@167 95 <a name="index-transpose-3"></a>
cannam@167 96 </p>
cannam@167 97
cannam@167 98 <p>Third, the fastest choices are generally either an in-place transform
cannam@167 99 or an out-of-place transform with the <code>FFTW_DESTROY_INPUT</code> flag
cannam@167 100 (which allows the input array to be used as scratch space). In-place
cannam@167 101 is especially beneficial if the amount of data per process is large.
cannam@167 102 <a name="index-FFTW_005fDESTROY_005fINPUT-1"></a>
cannam@167 103 </p>
cannam@167 104
cannam@167 105 <p>Fourth, if you have multiple arrays to transform at once, rather than
cannam@167 106 calling FFTW&rsquo;s MPI transforms several times it usually seems to be
cannam@167 107 faster to interleave the data and use the advanced interface. (This
cannam@167 108 groups the communications together instead of requiring separate
cannam@167 109 messages for each transform.)
cannam@167 110 </p>
cannam@167 111
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