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d@0 3 <title>MPI data distribution - FFTW 3.2alpha3</title>
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d@0 50 <a name="MPI-data-distribution"></a>
d@0 51 Next:&nbsp;<a rel="next" accesskey="n" href="Multi_002ddimensional-MPI-DFT-of-Real-Data.html#Multi_002ddimensional-MPI-DFT-of-Real-Data">Multi-dimensional MPI DFT of Real Data</a>,
d@0 52 Previous:&nbsp;<a rel="previous" accesskey="p" href="Simple-MPI-example.html#Simple-MPI-example">Simple MPI example</a>,
d@0 53 Up:&nbsp;<a rel="up" accesskey="u" href="Distributed_002dmemory-FFTW-with-MPI.html#Distributed_002dmemory-FFTW-with-MPI">Distributed-memory FFTW with MPI</a>
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d@0 56
d@0 57 <h3 class="section">6.4 MPI data distribution</h3>
d@0 58
d@0 59 <p><a name="index-data-distribution-350"></a>
d@0 60 The most important concept to understand in using FFTW's MPI interface
d@0 61 is the data distribution. With a serial or multithreaded FFT, all of
d@0 62 the input and outputs are stored as a single contiguous chunk of
d@0 63 memory. With a distributed-memory FFT, the inputs and outputs are
d@0 64 broken into disjoint blocks, one per process.
d@0 65
d@0 66 <p>In particular, FFTW uses a <em>1d block distribution</em> of the data,
d@0 67 distributed along the <em>first dimension</em>. For example, if you
d@0 68 want to perform a 100&nbsp;&times;&nbsp;200 complex DFT, distributed over 4
d@0 69 processes, each process will get a 25&nbsp;&times;&nbsp;200 slice of the data.
d@0 70 That is, process 0 will get rows 0 through 24, process 1 will get rows
d@0 71 25 through 49, process 2 will get rows 50 through 74, and process 3
d@0 72 will get rows 75 through 99. If you take the same array but
d@0 73 distribute it over 3 processes, then it is not evenly divisible so the
d@0 74 different processes will have unequal chunks. FFTW's default choice
d@0 75 in this case is to assign 34 rows to processes 0 and 1, and 32 rows to
d@0 76 process 2.
d@0 77 <a name="index-block-distribution-351"></a>
d@0 78 FFTW provides several `<samp><span class="samp">fftw_mpi_local_size</span></samp>' routines that you can
d@0 79 call to find out what portion of an array is stored on the current
d@0 80 process. In most cases, you should use the default block sizes picked
d@0 81 by FFTW, but it is also possible to specify your own block size. For
d@0 82 example, with a 100&nbsp;&times;&nbsp;200 array on three processes, you can
d@0 83 tell FFTW to use a block size of 40, which would assign 40 rows to
d@0 84 processes 0 and 1, and 20 rows to process 2. FFTW's default is to
d@0 85 divide the data equally among the processes if possible, and as best
d@0 86 it can otherwise. The rows are always assigned in &ldquo;rank order,&rdquo;
d@0 87 i.e. process 0 gets the first block of rows, then process 1, and so
d@0 88 on. (You can change this by using <code>MPI_Comm_split</code> to create a
d@0 89 new communicator with re-ordered processes.) However, you should
d@0 90 always call the `<samp><span class="samp">fftw_mpi_local_size</span></samp>' routines, if possible,
d@0 91 rather than trying to predict FFTW's distribution choices.
d@0 92
d@0 93 <ul class="menu">
d@0 94 <li><a accesskey="1" href="Basic-and-advanced-distribution-interfaces.html#Basic-and-advanced-distribution-interfaces">Basic and advanced distribution interfaces</a>
d@0 95 <li><a accesskey="2" href="Load-balancing.html#Load-balancing">Load balancing</a>
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d@0 97 <li><a accesskey="4" href="One_002ddimensional-distributions.html#One_002ddimensional-distributions">One-dimensional distributions</a>
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