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			140 lines
		
	
	
		
			7.3 KiB
		
	
	
	
		
			HTML
		
	
	
	
	
	
|   | <!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd"> | ||
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|  | <!-- This manual is for FFTW
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|  | (version 3.3.10, 10 December 2020). | ||
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|  | Copyright (C) 2003 Matteo Frigo. | ||
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|  | Copyright (C) 2003 Massachusetts Institute of Technology. | ||
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|  | <title>MPI Data Distribution (FFTW 3.3.10)</title> | ||
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|  | <span id="MPI-Data-Distribution"></span><div class="header"> | ||
|  | <p> | ||
|  | Next: <a href="Multi_002ddimensional-MPI-DFTs-of-Real-Data.html" accesskey="n" rel="next">Multi-dimensional MPI DFTs of Real Data</a>, Previous: <a href="2d-MPI-example.html" accesskey="p" rel="prev">2d MPI example</a>, Up: <a href="Distributed_002dmemory-FFTW-with-MPI.html" 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" title="Index" rel="index">Index</a>]</p> | ||
|  | </div> | ||
|  | <hr> | ||
|  | <span id="MPI-Data-Distribution-1"></span><h3 class="section">6.4 MPI Data Distribution</h3> | ||
|  | <span id="index-data-distribution-2"></span> | ||
|  | 
 | ||
|  | <p>The most important concept to understand in using FFTW’s MPI interface | ||
|  | is the data distribution.  With a serial or multithreaded FFT, all of | ||
|  | the inputs and outputs are stored as a single contiguous chunk of | ||
|  | memory.  With a distributed-memory FFT, the inputs and outputs are | ||
|  | broken into disjoint blocks, one per process. | ||
|  | </p> | ||
|  | <p>In particular, FFTW uses a <em>1d block distribution</em> of the data, | ||
|  | distributed along the <em>first dimension</em>.  For example, if you | ||
|  | want to perform a 100 × 200 | ||
|  |  complex DFT, distributed over 4 | ||
|  | processes, each process will get a 25 × 200 | ||
|  |  slice of the data. | ||
|  | That is, process 0 will get rows 0 through 24, process 1 will get rows | ||
|  | 25 through 49, process 2 will get rows 50 through 74, and process 3 | ||
|  | will get rows 75 through 99.  If you take the same array but | ||
|  | distribute it over 3 processes, then it is not evenly divisible so the | ||
|  | different processes will have unequal chunks.  FFTW’s default choice | ||
|  | in this case is to assign 34 rows to processes 0 and 1, and 32 rows to | ||
|  | process 2. | ||
|  | <span id="index-block-distribution"></span> | ||
|  | </p> | ||
|  | 
 | ||
|  | <p>FFTW provides several ‘<samp>fftw_mpi_local_size</samp>’ routines that you can | ||
|  | call to find out what portion of an array is stored on the current | ||
|  | process.  In most cases, you should use the default block sizes picked | ||
|  | by FFTW, but it is also possible to specify your own block size.  For | ||
|  | example, with a 100 × 200 | ||
|  |  array on three processes, you can | ||
|  | tell FFTW to use a block size of 40, which would assign 40 rows to | ||
|  | processes 0 and 1, and 20 rows to process 2.  FFTW’s default is to | ||
|  | divide the data equally among the processes if possible, and as best | ||
|  | it can otherwise.  The rows are always assigned in “rank order,” | ||
|  | i.e. process 0 gets the first block of rows, then process 1, and so | ||
|  | on.  (You can change this by using <code>MPI_Comm_split</code> to create a | ||
|  | new communicator with re-ordered processes.)  However, you should | ||
|  | always call the ‘<samp>fftw_mpi_local_size</samp>’ routines, if possible, | ||
|  | rather than trying to predict FFTW’s distribution choices. | ||
|  | </p> | ||
|  | <p>In particular, it is critical that you allocate the storage size that | ||
|  | is returned by ‘<samp>fftw_mpi_local_size</samp>’, which is <em>not</em> | ||
|  | necessarily the size of the local slice of the array.  The reason is | ||
|  | that intermediate steps of FFTW’s algorithms involve transposing the | ||
|  | array and redistributing the data, so at these intermediate steps FFTW | ||
|  | may require more local storage space (albeit always proportional to | ||
|  | the total size divided by the number of processes).  The | ||
|  | ‘<samp>fftw_mpi_local_size</samp>’ functions know how much storage is required | ||
|  | for these intermediate steps and tell you the correct amount to | ||
|  | allocate. | ||
|  | </p> | ||
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|  | <tr><td align="left" valign="top">• <a href="Basic-and-advanced-distribution-interfaces.html" accesskey="1">Basic and advanced distribution interfaces</a></td><td>  </td><td align="left" valign="top"> | ||
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|  | <tr><td align="left" valign="top">• <a href="Load-balancing.html" accesskey="2">Load balancing</a></td><td>  </td><td align="left" valign="top"> | ||
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|  | <tr><td align="left" valign="top">• <a href="Transposed-distributions.html" accesskey="3">Transposed distributions</a></td><td>  </td><td align="left" valign="top"> | ||
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|  | <tr><td align="left" valign="top">• <a href="One_002ddimensional-distributions.html" accesskey="4">One-dimensional distributions</a></td><td>  </td><td align="left" valign="top"> | ||
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|  | <hr> | ||
|  | <div class="header"> | ||
|  | <p> | ||
|  | Next: <a href="Multi_002ddimensional-MPI-DFTs-of-Real-Data.html" accesskey="n" rel="next">Multi-dimensional MPI DFTs of Real Data</a>, Previous: <a href="2d-MPI-example.html" accesskey="p" rel="prev">2d MPI example</a>, Up: <a href="Distributed_002dmemory-FFTW-with-MPI.html" 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" title="Index" rel="index">Index</a>]</p> | ||
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