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author Chris Cannam
date Fri, 07 Feb 2020 11:51:13 +0000
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Chris@42 4 (version 3.3.5, 30 July 2016).
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Chris@42 24 <head>
Chris@42 25 <title>FFTW 3.3.5: MPI Data Distribution</title>
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Chris@42 71 <body lang="en" bgcolor="#FFFFFF" text="#000000" link="#0000FF" vlink="#800080" alink="#FF0000">
Chris@42 72 <a name="MPI-Data-Distribution"></a>
Chris@42 73 <div class="header">
Chris@42 74 <p>
Chris@42 75 Next: <a href="Multi_002ddimensional-MPI-DFTs-of-Real-Data.html#Multi_002ddimensional-MPI-DFTs-of-Real-Data" accesskey="n" rel="next">Multi-dimensional MPI DFTs of Real Data</a>, Previous: <a href="2d-MPI-example.html#g_t2d-MPI-example" accesskey="p" rel="prev">2d MPI example</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>
Chris@42 76 </div>
Chris@42 77 <hr>
Chris@42 78 <a name="MPI-Data-Distribution-1"></a>
Chris@42 79 <h3 class="section">6.4 MPI Data Distribution</h3>
Chris@42 80 <a name="index-data-distribution-2"></a>
Chris@42 81
Chris@42 82 <p>The most important concept to understand in using FFTW&rsquo;s MPI interface
Chris@42 83 is the data distribution. With a serial or multithreaded FFT, all of
Chris@42 84 the inputs and outputs are stored as a single contiguous chunk of
Chris@42 85 memory. With a distributed-memory FFT, the inputs and outputs are
Chris@42 86 broken into disjoint blocks, one per process.
Chris@42 87 </p>
Chris@42 88 <p>In particular, FFTW uses a <em>1d block distribution</em> of the data,
Chris@42 89 distributed along the <em>first dimension</em>. For example, if you
Chris@42 90 want to perform a 100&nbsp;&times;&nbsp;200 complex DFT, distributed over 4
Chris@42 91 processes, each process will get a 25&nbsp;&times;&nbsp;200 slice of the data.
Chris@42 92 That is, process 0 will get rows 0 through 24, process 1 will get rows
Chris@42 93 25 through 49, process 2 will get rows 50 through 74, and process 3
Chris@42 94 will get rows 75 through 99. If you take the same array but
Chris@42 95 distribute it over 3 processes, then it is not evenly divisible so the
Chris@42 96 different processes will have unequal chunks. FFTW&rsquo;s default choice
Chris@42 97 in this case is to assign 34 rows to processes 0 and 1, and 32 rows to
Chris@42 98 process 2.
Chris@42 99 <a name="index-block-distribution"></a>
Chris@42 100 </p>
Chris@42 101
Chris@42 102 <p>FFTW provides several &lsquo;<samp>fftw_mpi_local_size</samp>&rsquo; routines that you can
Chris@42 103 call to find out what portion of an array is stored on the current
Chris@42 104 process. In most cases, you should use the default block sizes picked
Chris@42 105 by FFTW, but it is also possible to specify your own block size. For
Chris@42 106 example, with a 100&nbsp;&times;&nbsp;200 array on three processes, you can
Chris@42 107 tell FFTW to use a block size of 40, which would assign 40 rows to
Chris@42 108 processes 0 and 1, and 20 rows to process 2. FFTW&rsquo;s default is to
Chris@42 109 divide the data equally among the processes if possible, and as best
Chris@42 110 it can otherwise. The rows are always assigned in &ldquo;rank order,&rdquo;
Chris@42 111 i.e. process 0 gets the first block of rows, then process 1, and so
Chris@42 112 on. (You can change this by using <code>MPI_Comm_split</code> to create a
Chris@42 113 new communicator with re-ordered processes.) However, you should
Chris@42 114 always call the &lsquo;<samp>fftw_mpi_local_size</samp>&rsquo; routines, if possible,
Chris@42 115 rather than trying to predict FFTW&rsquo;s distribution choices.
Chris@42 116 </p>
Chris@42 117 <p>In particular, it is critical that you allocate the storage size that
Chris@42 118 is returned by &lsquo;<samp>fftw_mpi_local_size</samp>&rsquo;, which is <em>not</em>
Chris@42 119 necessarily the size of the local slice of the array. The reason is
Chris@42 120 that intermediate steps of FFTW&rsquo;s algorithms involve transposing the
Chris@42 121 array and redistributing the data, so at these intermediate steps FFTW
Chris@42 122 may require more local storage space (albeit always proportional to
Chris@42 123 the total size divided by the number of processes). The
Chris@42 124 &lsquo;<samp>fftw_mpi_local_size</samp>&rsquo; functions know how much storage is required
Chris@42 125 for these intermediate steps and tell you the correct amount to
Chris@42 126 allocate.
Chris@42 127 </p>
Chris@42 128 <table class="menu" border="0" cellspacing="0">
Chris@42 129 <tr><td align="left" valign="top">&bull; <a href="Basic-and-advanced-distribution-interfaces.html#Basic-and-advanced-distribution-interfaces" accesskey="1">Basic and advanced distribution interfaces</a>:</td><td>&nbsp;&nbsp;</td><td align="left" valign="top">
Chris@42 130 </td></tr>
Chris@42 131 <tr><td align="left" valign="top">&bull; <a href="Load-balancing.html#Load-balancing" accesskey="2">Load balancing</a>:</td><td>&nbsp;&nbsp;</td><td align="left" valign="top">
Chris@42 132 </td></tr>
Chris@42 133 <tr><td align="left" valign="top">&bull; <a href="Transposed-distributions.html#Transposed-distributions" accesskey="3">Transposed distributions</a>:</td><td>&nbsp;&nbsp;</td><td align="left" valign="top">
Chris@42 134 </td></tr>
Chris@42 135 <tr><td align="left" valign="top">&bull; <a href="One_002ddimensional-distributions.html#One_002ddimensional-distributions" accesskey="4">One-dimensional distributions</a>:</td><td>&nbsp;&nbsp;</td><td align="left" valign="top">
Chris@42 136 </td></tr>
Chris@42 137 </table>
Chris@42 138
Chris@42 139 <hr>
Chris@42 140 <div class="header">
Chris@42 141 <p>
Chris@42 142 Next: <a href="Multi_002ddimensional-MPI-DFTs-of-Real-Data.html#Multi_002ddimensional-MPI-DFTs-of-Real-Data" accesskey="n" rel="next">Multi-dimensional MPI DFTs of Real Data</a>, Previous: <a href="2d-MPI-example.html#g_t2d-MPI-example" accesskey="p" rel="prev">2d MPI example</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>
Chris@42 143 </div>
Chris@42 144
Chris@42 145
Chris@42 146
Chris@42 147 </body>
Chris@42 148 </html>