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Add FFTW3
author Chris Cannam <cannam@all-day-breakfast.com>
date Wed, 20 Mar 2013 15:35:50 +0000
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57
58 <h3 class="section">5.1 Installation and Supported Hardware/Software</h3>
59
60 <p>All of the FFTW threads code is located in the <code>threads</code>
61 subdirectory of the FFTW package. On Unix systems, the FFTW threads
62 libraries and header files can be automatically configured, compiled,
63 and installed along with the uniprocessor FFTW libraries simply by
64 including <code>--enable-threads</code> in the flags to the <code>configure</code>
65 script (see <a href="Installation-on-Unix.html#Installation-on-Unix">Installation on Unix</a>), or <code>--enable-openmp</code> to use
66 <a href="http://www.openmp.org">OpenMP</a> threads.
67 <a name="index-configure-329"></a>
68
69 <p><a name="index-portability-330"></a><a name="index-OpenMP-331"></a>The threads routines require your operating system to have some sort
70 of shared-memory threads support. Specifically, the FFTW threads
71 package works with POSIX threads (available on most Unix variants,
72 from GNU/Linux to MacOS X) and Win32 threads. OpenMP threads, which
73 are supported in many common compilers (e.g. gcc) are also supported,
74 and may give better performance on some systems. (OpenMP threads are
75 also useful if you are employing OpenMP in your own code, in order to
76 minimize conflicts between threading models.) If you have a
77 shared-memory machine that uses a different threads API, it should be
78 a simple matter of programming to include support for it; see the file
79 <code>threads/threads.c</code> for more detail.
80
81 <p>You can compile FFTW with <em>both</em> <code>--enable-threads</code> and
82 <code>--enable-openmp</code> at the same time, since they install libraries
83 with different names (&lsquo;<samp><span class="samp">fftw3_threads</span></samp>&rsquo; and &lsquo;<samp><span class="samp">fftw3_omp</span></samp>&rsquo;, as
84 described below). However, your programs may only link to <em>one</em>
85 of these two libraries at a time.
86
87 <p>Ideally, of course, you should also have multiple processors in order to
88 get any benefit from the threaded transforms.
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