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1 <!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
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2 <html>
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3 <!-- This manual is for FFTW
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4 (version 3.3.8, 24 May 2018).
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5
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6 Copyright (C) 2003 Matteo Frigo.
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7
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8 Copyright (C) 2003 Massachusetts Institute of Technology.
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9
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10 Permission is granted to make and distribute verbatim copies of this
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11 manual provided the copyright notice and this permission notice are
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12 preserved on all copies.
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13
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14 Permission is granted to copy and distribute modified versions of this
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15 manual under the conditions for verbatim copying, provided that the
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16 entire resulting derived work is distributed under the terms of a
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17 permission notice identical to this one.
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18
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19 Permission is granted to copy and distribute translations of this manual
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20 into another language, under the above conditions for modified versions,
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22 approved by the Free Software Foundation. -->
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23 <!-- Created by GNU Texinfo 6.3, http://www.gnu.org/software/texinfo/ -->
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24 <head>
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25 <title>FFTW 3.3.8: One-dimensional distributions</title>
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26
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27 <meta name="description" content="FFTW 3.3.8: One-dimensional distributions">
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28 <meta name="keywords" content="FFTW 3.3.8: One-dimensional distributions">
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33 <link href="index.html#Top" rel="start" title="Top">
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34 <link href="Concept-Index.html#Concept-Index" rel="index" title="Concept Index">
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35 <link href="index.html#SEC_Contents" rel="contents" title="Table of Contents">
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36 <link href="MPI-Data-Distribution.html#MPI-Data-Distribution" rel="up" title="MPI Data Distribution">
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37 <link href="Multi_002ddimensional-MPI-DFTs-of-Real-Data.html#Multi_002ddimensional-MPI-DFTs-of-Real-Data" rel="next" title="Multi-dimensional MPI DFTs of Real Data">
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38 <link href="Transposed-distributions.html#Transposed-distributions" rel="prev" title="Transposed distributions">
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64 -->
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65 </style>
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66
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67
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68 </head>
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69
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70 <body lang="en">
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71 <a name="One_002ddimensional-distributions"></a>
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72 <div class="header">
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73 <p>
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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> [<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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75 </div>
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76 <hr>
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77 <a name="One_002ddimensional-distributions-1"></a>
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78 <h4 class="subsection">6.4.4 One-dimensional distributions</h4>
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79
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80 <p>For one-dimensional distributed DFTs using FFTW, matters are slightly
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81 more complicated because the data distribution is more closely tied to
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82 how the algorithm works. In particular, you can no longer pass an
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83 arbitrary block size and must accept FFTW’s default; also, the block
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84 sizes may be different for input and output. Also, the data
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85 distribution depends on the flags and transform direction, in order
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86 for forward and backward transforms to work correctly.
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87 </p>
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88 <div class="example">
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89 <pre class="example">ptrdiff_t fftw_mpi_local_size_1d(ptrdiff_t n0, MPI_Comm comm,
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90 int sign, unsigned flags,
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91 ptrdiff_t *local_ni, ptrdiff_t *local_i_start,
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92 ptrdiff_t *local_no, ptrdiff_t *local_o_start);
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93 </pre></div>
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94 <a name="index-fftw_005fmpi_005flocal_005fsize_005f1d"></a>
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95
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96 <p>This function computes the data distribution for a 1d transform of
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97 size <code>n0</code> with the given transform <code>sign</code> and <code>flags</code>.
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98 Both input and output data use block distributions. The input on the
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99 current process will consist of <code>local_ni</code> numbers starting at
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100 index <code>local_i_start</code>; e.g. if only a single process is used,
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101 then <code>local_ni</code> will be <code>n0</code> and <code>local_i_start</code> will
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102 be <code>0</code>. Similarly for the output, with <code>local_no</code> numbers
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103 starting at index <code>local_o_start</code>. The return value of
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104 <code>fftw_mpi_local_size_1d</code> will be the total number of elements to
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105 allocate on the current process (which might be slightly larger than
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106 the local size due to intermediate steps in the algorithm).
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107 </p>
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108 <p>As mentioned above (see <a href="Load-balancing.html#Load-balancing">Load balancing</a>), the data will be divided
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109 equally among the processes if <code>n0</code> is divisible by the
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110 <em>square</em> of the number of processes. In this case,
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111 <code>local_ni</code> will equal <code>local_no</code>. Otherwise, they may be
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112 different.
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113 </p>
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114 <p>For some applications, such as convolutions, the order of the output
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115 data is irrelevant. In this case, performance can be improved by
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116 specifying that the output data be stored in an FFTW-defined
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117 “scrambled” format. (In particular, this is the analogue of
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118 transposed output in the multidimensional case: scrambled output saves
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119 a communications step.) If you pass <code>FFTW_MPI_SCRAMBLED_OUT</code> in
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120 the flags, then the output is stored in this (undocumented) scrambled
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121 order. Conversely, to perform the inverse transform of data in
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122 scrambled order, pass the <code>FFTW_MPI_SCRAMBLED_IN</code> flag.
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123 <a name="index-FFTW_005fMPI_005fSCRAMBLED_005fOUT"></a>
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124 <a name="index-FFTW_005fMPI_005fSCRAMBLED_005fIN"></a>
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125 </p>
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126
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127 <p>In MPI FFTW, only composite sizes <code>n0</code> can be parallelized; we
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128 have not yet implemented a parallel algorithm for large prime sizes.
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129 </p>
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130 <hr>
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131 <div class="header">
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132 <p>
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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> [<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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134 </div>
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135
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136
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137
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138 </body>
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139 </html>
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