diff Lib/fftw-3.2.1/doc/html/.svn/text-base/Thread-safety.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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--- a/Lib/fftw-3.2.1/doc/html/.svn/text-base/Thread-safety.html.svn-base	Wed May 04 11:02:59 2016 +0100
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-
-<h3 class="section">5.4 Thread safety</h3>
-
-<p><a name="index-threads-327"></a><a name="index-thread-safety-328"></a>Users writing multi-threaded programs must concern themselves with the
-<dfn>thread safety</dfn> of the libraries they use&mdash;that is, whether it is
-safe to call routines in parallel from multiple threads.  FFTW can be
-used in such an environment, but some care must be taken because the
-planner routines share data (e.g. wisdom and trigonometric tables)
-between calls and plans.
-
-   <p>The upshot is that the only thread-safe (re-entrant) routine in FFTW is
-<code>fftw_execute</code> (and the new-array variants thereof).  All other routines
-(e.g. the planner) should only be called from one thread at a time.  So,
-for example, you can wrap a semaphore lock around any calls to the
-planner; even more simply, you can just create all of your plans from
-one thread.  We do not think this should be an important restriction
-(FFTW is designed for the situation where the only performance-sensitive
-code is the actual execution of the transform), and the benefits of
-shared data between plans are great.
-
-   <p>Note also that, since the plan is not modified by <code>fftw_execute</code>,
-it is safe to execute the <em>same plan</em> in parallel by multiple
-threads.  However, since a given plan operates by default on a fixed
-array, you need to use one of the new-array execute functions (see <a href="New_002darray-Execute-Functions.html#New_002darray-Execute-Functions">New-array Execute Functions</a>) so that different threads compute the transform of different data.
-
-   <p>(Users should note that these comments only apply to programs using
-shared-memory threads.  Parallelism using MPI or forked processes
-involves a separate address-space and global variables for each process,
-and is not susceptible to problems of this sort.)
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