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d@0 3 <title>Basic distributed-transpose interface - FFTW 3.2alpha3</title>
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d@0 50 <a name="Basic-distributed-transpose-interface"></a>
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d@0 52 Next:&nbsp;<a rel="next" accesskey="n" href="Advanced-distributed_002dtranspose-interface.html#Advanced-distributed_002dtranspose-interface">Advanced distributed-transpose interface</a>,
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d@0 57
d@0 58 <h4 class="subsection">6.7.1 Basic distributed-transpose interface</h4>
d@0 59
d@0 60 <p>In particular, suppose that we have an <code>n0</code> by <code>n1</code> array in
d@0 61 row-major order, block-distributed across the <code>n0</code> dimension. To
d@0 62 transpose this into an <code>n1</code> by <code>n0</code> array block-distributed
d@0 63 across the <code>n1</code> dimension, we would create a plan by calling the
d@0 64 following function:
d@0 65
d@0 66 <pre class="example"> fftw_plan fftw_mpi_plan_transpose(ptrdiff_t n0, ptrdiff_t n1,
d@0 67 double *in, double *out,
d@0 68 MPI_Comm comm, unsigned flags);
d@0 69 </pre>
d@0 70 <p><a name="index-fftw_005fmpi_005fplan_005ftranspose-367"></a>
d@0 71 The input and output arrays (<code>in</code> and <code>out</code>) can be the
d@0 72 same. The transpose is actually executed by calling
d@0 73 <code>fftw_execute</code> on the plan, as usual.
d@0 74 <a name="index-fftw_005fexecute-368"></a>
d@0 75 The <code>flags</code> are the usual FFTW planner flags, but support
d@0 76 two additional flags: <code>FFTW_MPI_TRANSPOSED_OUT</code> and/or
d@0 77 <code>FFTW_MPI_TRANSPOSED_IN</code>. What these flags indicate, for
d@0 78 transpose plans, is that the output and/or input, respectively, are
d@0 79 <em>locally</em> transposed. That is, on each process input data is
d@0 80 normally stored as a <code>local_n0</code> by <code>n1</code> array in row-major
d@0 81 order, but for an <code>FFTW_MPI_TRANSPOSED_IN</code> plan the input data is
d@0 82 stored as <code>n1</code> by <code>local_n0</code> in row-major order. Similarly,
d@0 83 <code>FFTW_MPI_TRANSPOSED_OUT</code> means that the output is <code>n0</code> by
d@0 84 <code>local_n1</code> instead of <code>local_n1</code> by <code>n0</code>.
d@0 85 <a name="index-FFTW_005fMPI_005fTRANSPOSED_005fOUT-369"></a><a name="index-FFTW_005fMPI_005fTRANSPOSED_005fIN-370"></a>
d@0 86 To determine the local size of the array on each process before and
d@0 87 after the transpose, as well as the amount of storage that must be
d@0 88 allocated, one should call <code>fftw_mpi_local_size_2d_transposed</code>,
d@0 89 just as for a 2d DFT as described in the previous section:
d@0 90 <a name="index-data-distribution-371"></a>
d@0 91 <pre class="example"> ptrdiff_t fftw_mpi_local_size_2d_transposed
d@0 92 (ptrdiff_t n0, ptrdiff_t n1, MPI_Comm comm,
d@0 93 ptrdiff_t *local_n0, ptrdiff_t *local_0_start,
d@0 94 ptrdiff_t *local_n1, ptrdiff_t *local_1_start);
d@0 95 </pre>
d@0 96 <p><a name="index-fftw_005fmpi_005flocal_005fsize_005f2d_005ftransposed-372"></a>
d@0 97
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