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| cannam@167 | 25 <title>FFTW 3.3.8: FFTW MPI Performance Tips</title> | 
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| cannam@167 | 36 <link href="Distributed_002dmemory-FFTW-with-MPI.html#Distributed_002dmemory-FFTW-with-MPI" rel="up" title="Distributed-memory FFTW with MPI"> | 
| cannam@167 | 37 <link href="Combining-MPI-and-Threads.html#Combining-MPI-and-Threads" rel="next" title="Combining MPI and Threads"> | 
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| cannam@167 | 71 <a name="FFTW-MPI-Performance-Tips"></a> | 
| cannam@167 | 72 <div class="header"> | 
| cannam@167 | 73 <p> | 
| cannam@167 | 74 Next: <a href="Combining-MPI-and-Threads.html#Combining-MPI-and-Threads" accesskey="n" rel="next">Combining MPI and Threads</a>, Previous: <a href="Avoiding-MPI-Deadlocks.html#Avoiding-MPI-Deadlocks" accesskey="p" rel="prev">Avoiding MPI Deadlocks</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> | 
| cannam@167 | 75 </div> | 
| cannam@167 | 76 <hr> | 
| cannam@167 | 77 <a name="FFTW-MPI-Performance-Tips-1"></a> | 
| cannam@167 | 78 <h3 class="section">6.10 FFTW MPI Performance Tips</h3> | 
| cannam@167 | 79 | 
| cannam@167 | 80 <p>In this section, we collect a few tips on getting the best performance | 
| cannam@167 | 81 out of FFTW’s MPI transforms. | 
| cannam@167 | 82 </p> | 
| cannam@167 | 83 <p>First, because of the 1d block distribution, FFTW’s parallelization is | 
| cannam@167 | 84 currently limited by the size of the first dimension. | 
| cannam@167 | 85 (Multidimensional block distributions may be supported by a future | 
| cannam@167 | 86 version.) More generally, you should ideally arrange the dimensions so | 
| cannam@167 | 87 that FFTW can divide them equally among the processes. See <a href="Load-balancing.html#Load-balancing">Load balancing</a>. | 
| cannam@167 | 88 <a name="index-block-distribution-2"></a> | 
| cannam@167 | 89 <a name="index-load-balancing-1"></a> | 
| cannam@167 | 90 </p> | 
| cannam@167 | 91 | 
| cannam@167 | 92 <p>Second, if it is not too inconvenient, you should consider working | 
| cannam@167 | 93 with transposed output for multidimensional plans, as this saves a | 
| cannam@167 | 94 considerable amount of communications.  See <a href="Transposed-distributions.html#Transposed-distributions">Transposed distributions</a>. | 
| cannam@167 | 95 <a name="index-transpose-3"></a> | 
| cannam@167 | 96 </p> | 
| cannam@167 | 97 | 
| cannam@167 | 98 <p>Third, the fastest choices are generally either an in-place transform | 
| cannam@167 | 99 or an out-of-place transform with the <code>FFTW_DESTROY_INPUT</code> flag | 
| cannam@167 | 100 (which allows the input array to be used as scratch space).  In-place | 
| cannam@167 | 101 is especially beneficial if the amount of data per process is large. | 
| cannam@167 | 102 <a name="index-FFTW_005fDESTROY_005fINPUT-1"></a> | 
| cannam@167 | 103 </p> | 
| cannam@167 | 104 | 
| cannam@167 | 105 <p>Fourth, if you have multiple arrays to transform at once, rather than | 
| cannam@167 | 106 calling FFTW’s MPI transforms several times it usually seems to be | 
| cannam@167 | 107 faster to interleave the data and use the advanced interface.  (This | 
| cannam@167 | 108 groups the communications together instead of requiring separate | 
| cannam@167 | 109 messages for each transform.) | 
| cannam@167 | 110 </p> | 
| cannam@167 | 111 | 
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