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comparison src/fftw-3.3.5/doc/html/One_002ddimensional-distributions.html @ 42:2cd0e3b3e1fd
Current fftw source
author | Chris Cannam |
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date | Tue, 18 Oct 2016 13:40:26 +0100 |
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1 <!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd"> | |
2 <html> | |
3 <!-- This manual is for FFTW | |
4 (version 3.3.5, 30 July 2016). | |
5 | |
6 Copyright (C) 2003 Matteo Frigo. | |
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8 Copyright (C) 2003 Massachusetts Institute of Technology. | |
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24 <head> | |
25 <title>FFTW 3.3.5: One-dimensional distributions</title> | |
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27 <meta name="description" content="FFTW 3.3.5: One-dimensional distributions"> | |
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35 <link href="index.html#SEC_Contents" rel="contents" title="Table of Contents"> | |
36 <link href="MPI-Data-Distribution.html#MPI-Data-Distribution" rel="up" title="MPI Data Distribution"> | |
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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69 </head> | |
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71 <body lang="en" bgcolor="#FFFFFF" text="#000000" link="#0000FF" vlink="#800080" alink="#FF0000"> | |
72 <a name="One_002ddimensional-distributions"></a> | |
73 <div class="header"> | |
74 <p> | |
75 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> | |
76 </div> | |
77 <hr> | |
78 <a name="One_002ddimensional-distributions-1"></a> | |
79 <h4 class="subsection">6.4.4 One-dimensional distributions</h4> | |
80 | |
81 <p>For one-dimensional distributed DFTs using FFTW, matters are slightly | |
82 more complicated because the data distribution is more closely tied to | |
83 how the algorithm works. In particular, you can no longer pass an | |
84 arbitrary block size and must accept FFTW’s default; also, the block | |
85 sizes may be different for input and output. Also, the data | |
86 distribution depends on the flags and transform direction, in order | |
87 for forward and backward transforms to work correctly. | |
88 </p> | |
89 <div class="example"> | |
90 <pre class="example">ptrdiff_t fftw_mpi_local_size_1d(ptrdiff_t n0, MPI_Comm comm, | |
91 int sign, unsigned flags, | |
92 ptrdiff_t *local_ni, ptrdiff_t *local_i_start, | |
93 ptrdiff_t *local_no, ptrdiff_t *local_o_start); | |
94 </pre></div> | |
95 <a name="index-fftw_005fmpi_005flocal_005fsize_005f1d"></a> | |
96 | |
97 <p>This function computes the data distribution for a 1d transform of | |
98 size <code>n0</code> with the given transform <code>sign</code> and <code>flags</code>. | |
99 Both input and output data use block distributions. The input on the | |
100 current process will consist of <code>local_ni</code> numbers starting at | |
101 index <code>local_i_start</code>; e.g. if only a single process is used, | |
102 then <code>local_ni</code> will be <code>n0</code> and <code>local_i_start</code> will | |
103 be <code>0</code>. Similarly for the output, with <code>local_no</code> numbers | |
104 starting at index <code>local_o_start</code>. The return value of | |
105 <code>fftw_mpi_local_size_1d</code> will be the total number of elements to | |
106 allocate on the current process (which might be slightly larger than | |
107 the local size due to intermediate steps in the algorithm). | |
108 </p> | |
109 <p>As mentioned above (see <a href="Load-balancing.html#Load-balancing">Load balancing</a>), the data will be divided | |
110 equally among the processes if <code>n0</code> is divisible by the | |
111 <em>square</em> of the number of processes. In this case, | |
112 <code>local_ni</code> will equal <code>local_no</code>. Otherwise, they may be | |
113 different. | |
114 </p> | |
115 <p>For some applications, such as convolutions, the order of the output | |
116 data is irrelevant. In this case, performance can be improved by | |
117 specifying that the output data be stored in an FFTW-defined | |
118 “scrambled” format. (In particular, this is the analogue of | |
119 transposed output in the multidimensional case: scrambled output saves | |
120 a communications step.) If you pass <code>FFTW_MPI_SCRAMBLED_OUT</code> in | |
121 the flags, then the output is stored in this (undocumented) scrambled | |
122 order. Conversely, to perform the inverse transform of data in | |
123 scrambled order, pass the <code>FFTW_MPI_SCRAMBLED_IN</code> flag. | |
124 <a name="index-FFTW_005fMPI_005fSCRAMBLED_005fOUT"></a> | |
125 <a name="index-FFTW_005fMPI_005fSCRAMBLED_005fIN"></a> | |
126 </p> | |
127 | |
128 <p>In MPI FFTW, only composite sizes <code>n0</code> can be parallelized; we | |
129 have not yet implemented a parallel algorithm for large prime sizes. | |
130 </p> | |
131 <hr> | |
132 <div class="header"> | |
133 <p> | |
134 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> | |
135 </div> | |
136 | |
137 | |
138 | |
139 </body> | |
140 </html> |