From dc1dfb6cc8663a4dabedc0ffa2439e1d3861392f Mon Sep 17 00:00:00 2001 From: Philipp Arras Date: Wed, 30 Jan 2019 16:20:18 +0100 Subject: [PATCH] Streamlining --- docs/source/installation.rst | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/docs/source/installation.rst b/docs/source/installation.rst index 1c92ece3..e531b92b 100644 --- a/docs/source/installation.rst +++ b/docs/source/installation.rst @@ -14,14 +14,13 @@ Plotting support is added via:: pip3 install --user matplotlib -Since Jan. 2019 NIFTy uses Numpy's FFT implementation by default, in order to -minimize dependencies. However, for long-running production jobs we still -recommend using FFTW because of its higher performance. This is achieved via: +NIFTy uses Numpy's FFT implementation by default. For large problems FFTW may be +used because of its higher performance. It can be installed via:: sudo apt-get install libfftw3-dev pip3 install --user pyfftw -To actually enable FFTW in your NIFTy calculations, you need to call:: +To enable FFTW usage in NIFTy, call:: nifty5.fft.enable_fftw() -- GitLab