Adam Ginsburg's blog

I'm trying to figure out which ffts are fastest, best, etc.

First, it is difficult to get fftw3 + pyfftw installed into python.

For pyfftw to install, you need to enable floats and every specific type when compiling fftw3 (thanks to linux toolkits blog). Apparently you can't have --enable-long-double and --enable-float simultaneously, but pyfftw requires both, so you have to install twice or thrice? Nope, four times!! Also, my own post indicates that I should install to a different path to avoid weird conflicts with other libraries.

./configure --enable-threads --enable-openmp --enable-mpi --enable-shared \
            --enable-fortran --enable-avx \
            CFLAGS="-O3 -fno-common -fomit-frame-pointer -fstrict-aliasing"
make -j 4
sudo make install

./configure --enable-float --enable-threads --enable-openmp --enable-mpi --enable-shared \
            --enable-fortran --enable-avx \
            CFLAGS="-O3 -fno-common -fomit-frame-pointer -fstrict-aliasing"
make -j 4
sudo make install

# quad precision is not supported in mpi
./configure --enable-quad-precision --enable-threads --enable-openmp --enable-shared \
            --enable-fortran --enable-avx \
             CFLAGS="-O3 -fno-common -fomit-frame-pointer -fstrict-aliasing"
make -j 4
sudo make install

./configure --enable-long-double --enable-threads --enable-openmp --enable-mpi --enable-shared \
            --enable-fortran --enable-avx \
             CFLAGS="-O3 -fno-common -fomit-frame-pointer -fstrict-aliasing"
make -j 4
sudo make install

Onto speed test comparisons:

• Marshal Perrin's
• my fork
• speed tests on agpy
• profiling convolve_fft with different parameters

If you want to use fftw3 with astropy's convolve_fft, use this example.

Onto some comparisons from astropy issue 4374:

Notebook containing comparisons between FFT and FFTW