https://github.com/starlink/fftw

Starlink patched version of FFTW
https://github.com/starlink/fftw

Last synced: 3 days ago
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Starlink patched version of FFTW

• Host: GitHub
• URL: https://github.com/starlink/fftw
• Owner: Starlink
• License: gpl-2.0
• Created: 2012-07-24T04:12:37.000Z (over 12 years ago)
• Default Branch: master
• Last Pushed: 2014-07-23T02:46:39.000Z (over 10 years ago)
• Last Synced: 2023-04-21T08:51:00.026Z (over 1 year ago)
• Language: C
• Size: 9.78 MB
• Stars: 1
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README
  • Changelog: ChangeLog
  • License: COPYING

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README

        
FFTW is a free collection of fast C routines for computing the

Discrete Fourier Transform in one or more dimensions.  It includes

complex, real, symmetric, and parallel transforms, and can handle

arbitrary array sizes efficiently.  FFTW is typically faster than

other publically-available FFT implementations, and is even

competitive with vendor-tuned libraries.  (See our web page

http://fftw.org/ for extensive benchmarks.)  To achieve this

performance, FFTW uses novel code-generation and runtime

self-optimization techniques (along with many other tricks).

The doc/ directory contains the manual in texinfo, PDF, info, and HTML

formats.  Frequently asked questions and answers can be found in the

doc/FAQ/ directory in ASCII and HTML.

For a quick introduction to calling FFTW, see the "Tutorial" section

of the manual.

INSTALLATION

------------

If you have downloaded an official release, please read chapter

10 "Installation and Customization" of the manual.  In short:

     ./configure

     make

     make install

If you are using the git repository, install ocaml, autoconf,

automake, and libtool, and execute the bootstrap.sh script.  Most of

the source code of fftw is generated automatically, and this script

generates all the required source files.

CONTACTS

--------

FFTW was written by Matteo Frigo and Steven G. Johnson.  You can

contact them at [email protected].  The latest version of FFTW,

benchmarks, links, and other information can be found at the FFTW home

page (http://www.fftw.org).  You can also sign up to the fftw-announce

Google group to receive (infrequent) updates and information about new

releases.