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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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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: Combining MPI and Threads</title>
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26
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27 <meta name="description" content="FFTW 3.3.8: Combining MPI and Threads">
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28 <meta name="keywords" content="FFTW 3.3.8: Combining MPI and Threads">
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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="Distributed_002dmemory-FFTW-with-MPI.html#Distributed_002dmemory-FFTW-with-MPI" rel="up" title="Distributed-memory FFTW with MPI">
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37 <link href="FFTW-MPI-Reference.html#FFTW-MPI-Reference" rel="next" title="FFTW MPI Reference">
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38 <link href="FFTW-MPI-Performance-Tips.html#FFTW-MPI-Performance-Tips" rel="prev" title="FFTW MPI Performance Tips">
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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="Combining-MPI-and-Threads"></a>
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72 <div class="header">
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73 <p>
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74 Next: <a href="FFTW-MPI-Reference.html#FFTW-MPI-Reference" accesskey="n" rel="next">FFTW MPI Reference</a>, Previous: <a href="FFTW-MPI-Performance-Tips.html#FFTW-MPI-Performance-Tips" accesskey="p" rel="prev">FFTW MPI Performance Tips</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> [<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="Combining-MPI-and-Threads-1"></a>
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78 <h3 class="section">6.11 Combining MPI and Threads</h3>
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79 <a name="index-threads-2"></a>
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80
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81 <p>In certain cases, it may be advantageous to combine MPI
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82 (distributed-memory) and threads (shared-memory) parallelization.
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83 FFTW supports this, with certain caveats. For example, if you have a
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84 cluster of 4-processor shared-memory nodes, you may want to use
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85 threads within the nodes and MPI between the nodes, instead of MPI for
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86 all parallelization.
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87 </p>
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88 <p>In particular, it is possible to seamlessly combine the MPI FFTW
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89 routines with the multi-threaded FFTW routines (see <a href="Multi_002dthreaded-FFTW.html#Multi_002dthreaded-FFTW">Multi-threaded FFTW</a>). However, some care must be taken in the initialization code,
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90 which should look something like this:
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91 </p>
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92 <div class="example">
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93 <pre class="example">int threads_ok;
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94
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95 int main(int argc, char **argv)
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96 {
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97 int provided;
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98 MPI_Init_thread(&argc, &argv, MPI_THREAD_FUNNELED, &provided);
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99 threads_ok = provided >= MPI_THREAD_FUNNELED;
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100
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101 if (threads_ok) threads_ok = fftw_init_threads();
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102 fftw_mpi_init();
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103
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104 ...
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105 if (threads_ok) fftw_plan_with_nthreads(...);
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106 ...
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107
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108 MPI_Finalize();
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109 }
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110 </pre></div>
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111 <a name="index-fftw_005fmpi_005finit-3"></a>
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112 <a name="index-fftw_005finit_005fthreads-2"></a>
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113 <a name="index-fftw_005fplan_005fwith_005fnthreads-1"></a>
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114
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115 <p>First, note that instead of calling <code>MPI_Init</code>, you should call
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116 <code>MPI_Init_threads</code>, which is the initialization routine defined
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117 by the MPI-2 standard to indicate to MPI that your program will be
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118 multithreaded. We pass <code>MPI_THREAD_FUNNELED</code>, which indicates
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119 that we will only call MPI routines from the main thread. (FFTW will
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120 launch additional threads internally, but the extra threads will not
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121 call MPI code.) (You may also pass <code>MPI_THREAD_SERIALIZED</code> or
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122 <code>MPI_THREAD_MULTIPLE</code>, which requests additional multithreading
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123 support from the MPI implementation, but this is not required by
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124 FFTW.) The <code>provided</code> parameter returns what level of threads
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125 support is actually supported by your MPI implementation; this
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126 <em>must</em> be at least <code>MPI_THREAD_FUNNELED</code> if you want to call
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127 the FFTW threads routines, so we define a global variable
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128 <code>threads_ok</code> to record this. You should only call
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129 <code>fftw_init_threads</code> or <code>fftw_plan_with_nthreads</code> if
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130 <code>threads_ok</code> is true. For more information on thread safety in
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131 MPI, see the
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132 <a href="http://www.mpi-forum.org/docs/mpi-20-html/node162.htm">MPI and
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133 Threads</a> section of the MPI-2 standard.
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134 <a name="index-thread-safety-2"></a>
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135 </p>
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136
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137 <p>Second, we must call <code>fftw_init_threads</code> <em>before</em>
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138 <code>fftw_mpi_init</code>. This is critical for technical reasons having
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139 to do with how FFTW initializes its list of algorithms.
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140 </p>
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141 <p>Then, if you call <code>fftw_plan_with_nthreads(N)</code>, <em>every</em> MPI
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142 process will launch (up to) <code>N</code> threads to parallelize its transforms.
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143 </p>
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144 <p>For example, in the hypothetical cluster of 4-processor nodes, you
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145 might wish to launch only a single MPI process per node, and then call
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146 <code>fftw_plan_with_nthreads(4)</code> on each process to use all
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147 processors in the nodes.
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148 </p>
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149 <p>This may or may not be faster than simply using as many MPI processes
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150 as you have processors, however. On the one hand, using threads
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151 within a node eliminates the need for explicit message passing within
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152 the node. On the other hand, FFTW’s transpose routines are not
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153 multi-threaded, and this means that the communications that do take
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154 place will not benefit from parallelization within the node.
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155 Moreover, many MPI implementations already have optimizations to
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156 exploit shared memory when it is available, so adding the
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157 multithreaded FFTW on top of this may be superfluous.
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158 <a name="index-transpose-4"></a>
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159 </p>
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160 <hr>
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161 <div class="header">
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162 <p>
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163 Next: <a href="FFTW-MPI-Reference.html#FFTW-MPI-Reference" accesskey="n" rel="next">FFTW MPI Reference</a>, Previous: <a href="FFTW-MPI-Performance-Tips.html#FFTW-MPI-Performance-Tips" accesskey="p" rel="prev">FFTW MPI Performance Tips</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> [<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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164 </div>
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165
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166
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167
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168 </body>
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169 </html>
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