FFTW is a C subroutine library for computing the Discrete Fourier Transform
(DFT) in one or more dimensions, of both real and complex data, and of
arbitrary input size. We believe that FFTW, which is free software, should
become the FFT library of choice for most applications. Our benchmarks,
performed on a variety of platforms, show that FFTW's performance is
typically superior to that of other publicly available FFT software.
Moreover, FFTW's performance is portable: the program will perform well on
most architectures without modification.
The FFTW package was developed at MIT by Matteo Frigo and Steven G.
Johnson. Please send email to fftw@theory.lcs.mit.edu so that we can keep
track of users and send you information about new releases. The latest
version of FFTW, benchmarks, links, and other information can be found at
the FFTW home page.
- Add USES=libtool to fix linker problem on FreeBSD/i386 8.x and
FreeBSD/ia64.
- Remove patch-configure.in (not needed) and remove USE_AUTOTOOLS.
- Add OPTIONS_EXCLUDE=DOCS to math/fftw-float slave port.
- Simplify Makefile a little.
PR: ports/187274
Update to libmpc version 1.0.1 which brings the following fixes:
- Switched to automake 1.11.6, see CVE-2012-3386.
- #14669: Fixed extraction of CC from gmp.h.
- Fixed case of intermediate zero real or imaginary part in mpc_fma,
found by hydra with GMP_CHECK_RANDOMIZE=1346362345.
This is on top of the following changes from version 1.0
- Licence change towards LGPLv3+ for the code and GFDLv1.3+ (with no
invariant sections) for the documentation.
- 100% of all lines are covered by tests
- Renamed functions
. mpc_mul_2exp to mpc_mul_2ui
. mpc_div_2exp to mpc_div_2ui
(Only the first 15 lines of the commit message are shown above )
Add slave port fftw-float
Fast C routines (Single Percision)
FFTW is a C subroutine library for computing the Discrete Fourier Transform
(DFT) in one or more dimensions, of both real and complex data, and of
arbitrary input size. We believe that FFTW, which is free software, should
become the FFT library of choice for most applications. Our benchmarks,
performed on a variety of platforms, show that FFTW's performance is
typically superior to that of other publicly available FFT software.
Moreover, FFTW's performance is portable: the program will perform well on
most architectures without modification.
The FFTW package was developed at MIT by Matteo Frigo and Steven G.
Johnson. Please send email to fftw@theory.lcs.mit.edu so that we can keep
track of users and send you information about new releases. The latest
version of FFTW, benchmarks, links, and other information can be found at
the FFTW home page
PR: ports/71271
Approved by: pav (co mentor)
