diff Lib/fftw-3.2.1/doc/html/.svn/text-base/Distributed_002dmemory-FFTW-with-MPI.html.svn-base @ 15:585caf503ef5 tip

Tidy up for ROLI
author Geogaddi\David <d.m.ronan@qmul.ac.uk>
date Tue, 17 May 2016 18:50:19 +0100
parents 636c989477e7
children
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-<h2 class="chapter">6 Distributed-memory FFTW with MPI</h2>
-
-<p><a name="index-MPI-329"></a>
-<a name="index-parallel-transform-330"></a>In this chapter we document the parallel FFTW routines for parallel
-hardware supporting the MPI message-passing interface.  Unlike the
-shared-memory threads described in the previous chapter, MPI allows
-you to use <em>distributed-memory</em> parallelism, where each CPU has
-its own separate memory, and which can scale up to clusters of many
-thousands of processors.  This capability comes at a price, however:
-each process only stores a <em>portion</em> of the data to be
-transformed, which means that the data structures and
-programming-interface are quite different from the serial or threads
-versions of FFTW. 
-<a name="index-data-distribution-331"></a>
-Distributed-memory parallelism is especially useful when you are
-transforming arrays so large that they do not fit into the memory of a
-single processor.  The storage per-process required by FFTW's MPI
-routines is proportional to the total array size divided by the number
-of processes.  Conversely, distributed-memory parallelism can easily
-pose an unacceptably high communications overhead for small problems;
-the threshold problem size for which parallelism becomes important
-will depend on the precise problem you are interested in, your
-hardware, and your MPI implementation.
-
-   <p>A note on terminology: in MPI, you divide the data among a set of
-&ldquo;processes&rdquo; which each run in their own memory address space. 
-Generally, each process runs on a different physical processor, but
-this is not required.  A group of processes in MPI is described by an
-opaque data structure called a &ldquo;communicator,&rdquo; the most common of
-which is the predefined communicator <code>MPI_COMM_WORLD</code> which
-refers to <em>all</em> processes.  For more information on these and
-other concepts common to all MPI programs, we refer the reader to the
-documentation at <a href="http://www-unix.mcs.anl.gov/mpi/">the MPI home page</a>. 
-<a name="index-MPI-communicator-332"></a><a name="index-MPI_005fCOMM_005fWORLD-333"></a>
-We assume in this chapter that the reader is familiar with the usage
-of the serial (uniprocessor) FFTW, and focus only on the concepts new
-to the MPI interface.
-
-<ul class="menu">
-<li><a accesskey="1" href="FFTW-MPI-Installation.html#FFTW-MPI-Installation">FFTW MPI Installation</a>
-<li><a accesskey="2" href="Linking-and-Initializing-MPI-FFTW.html#Linking-and-Initializing-MPI-FFTW">Linking and Initializing MPI FFTW</a>
-<li><a accesskey="3" href="Simple-MPI-example.html#Simple-MPI-example">Simple MPI example</a>
-<li><a accesskey="4" href="MPI-data-distribution.html#MPI-data-distribution">MPI data distribution</a>
-<li><a accesskey="5" href="Multi_002ddimensional-MPI-DFT-of-Real-Data.html#Multi_002ddimensional-MPI-DFT-of-Real-Data">Multi-dimensional MPI DFT of Real Data</a>
-<li><a accesskey="6" href="Other-Multi_002ddimensional-Real_002ddata-MPI-Transforms.html#Other-Multi_002ddimensional-Real_002ddata-MPI-Transforms">Other Multi-dimensional Real-data MPI Transforms</a>
-<li><a accesskey="7" href="FFTW-MPI-Transposes.html#FFTW-MPI-Transposes">FFTW MPI Transposes</a>
-<li><a accesskey="8" href="FFTW-MPI-Wisdom.html#FFTW-MPI-Wisdom">FFTW MPI Wisdom</a>
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-<li><a href="FFTW-MPI-Reference.html#FFTW-MPI-Reference">FFTW MPI Reference</a>
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