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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>Basic and advanced distribution interfaces (FFTW 3.3.10)</title>
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								<meta name="description" content="Basic and advanced distribution interfaces (FFTW 3.3.10)">
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								<span id="Basic-and-advanced-distribution-interfaces"></span><div class="header">
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								<p>
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								Next: <a href="Load-balancing.html" accesskey="n" rel="next">Load balancing</a>, Previous: <a href="MPI-Data-Distribution.html" accesskey="p" rel="prev">MPI Data Distribution</a>, Up: <a href="MPI-Data-Distribution.html" 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" title="Index" rel="index">Index</a>]</p>
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								<hr>
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								<span id="Basic-and-advanced-distribution-interfaces-1"></span><h4 class="subsection">6.4.1 Basic and advanced distribution interfaces</h4>
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								<p>As with the planner interface, the ‘<samp>fftw_mpi_local_size</samp>’
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								distribution interface is broken into basic and advanced
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								(‘<samp>_many</samp>’) interfaces, where the latter allows you to specify the
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								block size manually and also to request block sizes when computing
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								multiple transforms simultaneously.  These functions are documented
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								more exhaustively by the FFTW MPI Reference, but we summarize the
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								basic ideas here using a couple of two-dimensional examples.
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								</p>
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								<p>For the 100 × 200
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								 complex-DFT example, above, we would find
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								the distribution by calling the following function in the basic
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								interface:
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								</p>
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								<div class="example">
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								<pre class="example">ptrdiff_t fftw_mpi_local_size_2d(ptrdiff_t n0, ptrdiff_t n1, MPI_Comm comm,
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								                                 ptrdiff_t *local_n0, ptrdiff_t *local_0_start);
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								</pre></div>
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								<span id="index-fftw_005fmpi_005flocal_005fsize_005f2d-1"></span>
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								<p>Given the total size of the data to be transformed (here, <code>n0 =
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								100</code> and <code>n1 = 200</code>) and an MPI communicator (<code>comm</code>), this
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								function provides three numbers.
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								</p>
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								<p>First, it describes the shape of the local data: the current process
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								should store a <code>local_n0</code> by <code>n1</code> slice of the overall
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								dataset, in row-major order (<code>n1</code> dimension contiguous), starting
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								at index <code>local_0_start</code>.  That is, if the total dataset is
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								viewed as a <code>n0</code> by <code>n1</code> matrix, the current process should
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								store the rows <code>local_0_start</code> to
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								<code>local_0_start+local_n0-1</code>.  Obviously, if you are running with
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								only a single MPI process, that process will store the entire array:
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								<code>local_0_start</code> will be zero and <code>local_n0</code> will be
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								<code>n0</code>.  See <a href="Row_002dmajor-Format.html">Row-major Format</a>.
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								<span id="index-row_002dmajor-4"></span>
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								</p>
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								<p>Second, the return value is the total number of data elements (e.g.,
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								complex numbers for a complex DFT) that should be allocated for the
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								input and output arrays on the current process (ideally with
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								<code>fftw_malloc</code> or an ‘<samp>fftw_alloc</samp>’ function, to ensure optimal
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								alignment).  It might seem that this should always be equal to
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								<code>local_n0 * n1</code>, but this is <em>not</em> the case.  FFTW’s
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								distributed FFT algorithms require data redistributions at
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								intermediate stages of the transform, and in some circumstances this
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								may require slightly larger local storage.  This is discussed in more
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								detail below, under <a href="Load-balancing.html">Load balancing</a>.
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								<span id="index-fftw_005fmalloc-5"></span>
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								<span id="index-fftw_005falloc_005fcomplex-3"></span>
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								</p>
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								<span id="index-advanced-interface-4"></span>
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								<p>The advanced-interface ‘<samp>local_size</samp>’ function for multidimensional
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								transforms returns the same three things (<code>local_n0</code>,
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								<code>local_0_start</code>, and the total number of elements to allocate),
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								but takes more inputs:
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								</p>
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								<div class="example">
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								<pre class="example">ptrdiff_t fftw_mpi_local_size_many(int rnk, const ptrdiff_t *n,
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								                                   ptrdiff_t howmany,
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								                                   ptrdiff_t block0,
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								                                   MPI_Comm comm,
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								                                   ptrdiff_t *local_n0,
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								                                   ptrdiff_t *local_0_start);
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								</pre></div>
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								<span id="index-fftw_005fmpi_005flocal_005fsize_005fmany"></span>
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								<p>The two-dimensional case above corresponds to <code>rnk = 2</code> and an
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								array <code>n</code> of length 2 with <code>n[0] = n0</code> and <code>n[1] = n1</code>.
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								This routine is for any <code>rnk > 1</code>; one-dimensional transforms
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								have their own interface because they work slightly differently, as
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								discussed below.
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								</p>
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								<p>First, the advanced interface allows you to perform multiple
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								transforms at once, of interleaved data, as specified by the
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								<code>howmany</code> parameter.  (<code>hoamany</code> is 1 for a single
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								transform.)
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								</p>
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								<p>Second, here you can specify your desired block size in the <code>n0</code>
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								dimension, <code>block0</code>.  To use FFTW’s default block size, pass
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								<code>FFTW_MPI_DEFAULT_BLOCK</code> (0) for <code>block0</code>.  Otherwise, on
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								<code>P</code> processes, FFTW will return <code>local_n0</code> equal to
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								<code>block0</code> on the first <code>P / block0</code> processes (rounded down),
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								return <code>local_n0</code> equal to <code>n0 - block0 * (P / block0)</code> on
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								the next process, and <code>local_n0</code> equal to zero on any remaining
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								processes.  In general, we recommend using the default block size
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								(which corresponds to <code>n0 / P</code>, rounded up).
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								<span id="index-FFTW_005fMPI_005fDEFAULT_005fBLOCK"></span>
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								<span id="index-block-distribution-1"></span>
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								</p>
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								<p>For example, suppose you have <code>P = 4</code> processes and <code>n0 =
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								21</code>.  The default will be a block size of <code>6</code>, which will give
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								<code>local_n0 = 6</code> on the first three processes and <code>local_n0 =
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								3</code> on the last process.  Instead, however, you could specify
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								<code>block0 = 5</code> if you wanted, which would give <code>local_n0 = 5</code>
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								on processes 0 to 2, <code>local_n0 = 6</code> on process 3.  (This choice,
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								while it may look superficially more “balanced,” has the same
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								critical path as FFTW’s default but requires more communications.)
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								</p>
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								<hr>
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								<p>
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								Next: <a href="Load-balancing.html" accesskey="n" rel="next">Load balancing</a>, Previous: <a href="MPI-Data-Distribution.html" accesskey="p" rel="prev">MPI Data Distribution</a>, Up: <a href="MPI-Data-Distribution.html" 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" title="Index" rel="index">Index</a>]</p>
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