annotate src/fftw-3.3.8/doc/html/Load-balancing.html @ 82:d0c2a83c1364

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 71 <a name="Load-balancing"></a>
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Chris@82 74 Next: <a href="Transposed-distributions.html#Transposed-distributions" accesskey="n" rel="next">Transposed distributions</a>, Previous: <a href="Basic-and-advanced-distribution-interfaces.html#Basic-and-advanced-distribution-interfaces" accesskey="p" rel="prev">Basic and advanced distribution interfaces</a>, Up: <a href="MPI-Data-Distribution.html#MPI-Data-Distribution" accesskey="u" rel="up">MPI Data Distribution</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>
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Chris@82 77 <a name="Load-balancing-1"></a>
Chris@82 78 <h4 class="subsection">6.4.2 Load balancing</h4>
Chris@82 79 <a name="index-load-balancing"></a>
Chris@82 80
Chris@82 81 <p>Ideally, when you parallelize a transform over some <em>P</em>
Chris@82 82 processes, each process should end up with work that takes equal time.
Chris@82 83 Otherwise, all of the processes end up waiting on whichever process is
Chris@82 84 slowest. This goal is known as &ldquo;load balancing.&rdquo; In this section,
Chris@82 85 we describe the circumstances under which FFTW is able to load-balance
Chris@82 86 well, and in particular how you should choose your transform size in
Chris@82 87 order to load balance.
Chris@82 88 </p>
Chris@82 89 <p>Load balancing is especially difficult when you are parallelizing over
Chris@82 90 heterogeneous machines; for example, if one of your processors is a
Chris@82 91 old 486 and another is a Pentium IV, obviously you should give the
Chris@82 92 Pentium more work to do than the 486 since the latter is much slower.
Chris@82 93 FFTW does not deal with this problem, however&mdash;it assumes that your
Chris@82 94 processes run on hardware of comparable speed, and that the goal is
Chris@82 95 therefore to divide the problem as equally as possible.
Chris@82 96 </p>
Chris@82 97 <p>For a multi-dimensional complex DFT, FFTW can divide the problem
Chris@82 98 equally among the processes if: (i) the <em>first</em> dimension
Chris@82 99 <code>n0</code> is divisible by <em>P</em>; and (ii), the <em>product</em> of
Chris@82 100 the subsequent dimensions is divisible by <em>P</em>. (For the advanced
Chris@82 101 interface, where you can specify multiple simultaneous transforms via
Chris@82 102 some &ldquo;vector&rdquo; length <code>howmany</code>, a factor of <code>howmany</code> is
Chris@82 103 included in the product of the subsequent dimensions.)
Chris@82 104 </p>
Chris@82 105 <p>For a one-dimensional complex DFT, the length <code>N</code> of the data
Chris@82 106 should be divisible by <em>P</em> <em>squared</em> to be able to divide
Chris@82 107 the problem equally among the processes.
Chris@82 108 </p>
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