Commit 8f74abc9 authored by Lukas Platz's avatar Lukas Platz

installation: added FFTW support explanation

parent bcf317ef
......@@ -14,12 +14,15 @@ Plotting support is added via::
pip3 install --user matplotlib
FFTW support is added via::
Since Jan. 2019 we use Numpy's FFT implementation in order to minimize
dependencies. However, on some problems like FFTs of non-prime length arrays,
the library FFTW performs a lot better. If you use NIFTy for large problems
involving FFTs, you may wish to use the FFTW support. It is added via::
sudo apt-get install libfftw3-dev
pip3 install --user pyfftw
To actually use FFTW in your Nifty calculations, you need to call::
To actually use FFTW in your NIFTy calculations, you need to call::
nifty5.fft.enable_fftw()
......
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