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Add null config files
author Chris Cannam <cannam@all-day-breakfast.com>
date Mon, 02 Mar 2020 14:03:47 +0000
parents bd3cc4d1df30
children
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cannam@167 3 <!-- This manual is for FFTW
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cannam@167 6 Copyright (C) 2003 Matteo Frigo.
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cannam@167 24 <head>
cannam@167 25 <title>FFTW 3.3.8: One-dimensional distributions</title>
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cannam@167 69
cannam@167 70 <body lang="en">
cannam@167 71 <a name="One_002ddimensional-distributions"></a>
cannam@167 72 <div class="header">
cannam@167 73 <p>
cannam@167 74 Previous: <a href="Transposed-distributions.html#Transposed-distributions" accesskey="p" rel="prev">Transposed distributions</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>
cannam@167 75 </div>
cannam@167 76 <hr>
cannam@167 77 <a name="One_002ddimensional-distributions-1"></a>
cannam@167 78 <h4 class="subsection">6.4.4 One-dimensional distributions</h4>
cannam@167 79
cannam@167 80 <p>For one-dimensional distributed DFTs using FFTW, matters are slightly
cannam@167 81 more complicated because the data distribution is more closely tied to
cannam@167 82 how the algorithm works. In particular, you can no longer pass an
cannam@167 83 arbitrary block size and must accept FFTW&rsquo;s default; also, the block
cannam@167 84 sizes may be different for input and output. Also, the data
cannam@167 85 distribution depends on the flags and transform direction, in order
cannam@167 86 for forward and backward transforms to work correctly.
cannam@167 87 </p>
cannam@167 88 <div class="example">
cannam@167 89 <pre class="example">ptrdiff_t fftw_mpi_local_size_1d(ptrdiff_t n0, MPI_Comm comm,
cannam@167 90 int sign, unsigned flags,
cannam@167 91 ptrdiff_t *local_ni, ptrdiff_t *local_i_start,
cannam@167 92 ptrdiff_t *local_no, ptrdiff_t *local_o_start);
cannam@167 93 </pre></div>
cannam@167 94 <a name="index-fftw_005fmpi_005flocal_005fsize_005f1d"></a>
cannam@167 95
cannam@167 96 <p>This function computes the data distribution for a 1d transform of
cannam@167 97 size <code>n0</code> with the given transform <code>sign</code> and <code>flags</code>.
cannam@167 98 Both input and output data use block distributions. The input on the
cannam@167 99 current process will consist of <code>local_ni</code> numbers starting at
cannam@167 100 index <code>local_i_start</code>; e.g. if only a single process is used,
cannam@167 101 then <code>local_ni</code> will be <code>n0</code> and <code>local_i_start</code> will
cannam@167 102 be <code>0</code>. Similarly for the output, with <code>local_no</code> numbers
cannam@167 103 starting at index <code>local_o_start</code>. The return value of
cannam@167 104 <code>fftw_mpi_local_size_1d</code> will be the total number of elements to
cannam@167 105 allocate on the current process (which might be slightly larger than
cannam@167 106 the local size due to intermediate steps in the algorithm).
cannam@167 107 </p>
cannam@167 108 <p>As mentioned above (see <a href="Load-balancing.html#Load-balancing">Load balancing</a>), the data will be divided
cannam@167 109 equally among the processes if <code>n0</code> is divisible by the
cannam@167 110 <em>square</em> of the number of processes. In this case,
cannam@167 111 <code>local_ni</code> will equal <code>local_no</code>. Otherwise, they may be
cannam@167 112 different.
cannam@167 113 </p>
cannam@167 114 <p>For some applications, such as convolutions, the order of the output
cannam@167 115 data is irrelevant. In this case, performance can be improved by
cannam@167 116 specifying that the output data be stored in an FFTW-defined
cannam@167 117 &ldquo;scrambled&rdquo; format. (In particular, this is the analogue of
cannam@167 118 transposed output in the multidimensional case: scrambled output saves
cannam@167 119 a communications step.) If you pass <code>FFTW_MPI_SCRAMBLED_OUT</code> in
cannam@167 120 the flags, then the output is stored in this (undocumented) scrambled
cannam@167 121 order. Conversely, to perform the inverse transform of data in
cannam@167 122 scrambled order, pass the <code>FFTW_MPI_SCRAMBLED_IN</code> flag.
cannam@167 123 <a name="index-FFTW_005fMPI_005fSCRAMBLED_005fOUT"></a>
cannam@167 124 <a name="index-FFTW_005fMPI_005fSCRAMBLED_005fIN"></a>
cannam@167 125 </p>
cannam@167 126
cannam@167 127 <p>In MPI FFTW, only composite sizes <code>n0</code> can be parallelized; we
cannam@167 128 have not yet implemented a parallel algorithm for large prime sizes.
cannam@167 129 </p>
cannam@167 130 <hr>
cannam@167 131 <div class="header">
cannam@167 132 <p>
cannam@167 133 Previous: <a href="Transposed-distributions.html#Transposed-distributions" accesskey="p" rel="prev">Transposed distributions</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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