mpiFFT4py performs FFTs in parallel in Python. It is developed to be able to do FFTs in parallel on a three-dimensional computational box (a structured grid), but there are also routines for doing the FFTs on a 2D mesh. It implements both the slab and the pencil decompositions.

mpiFFT4py requires numpy for basic array oparations, [pyfftw](https://github.com/pyfftw/pyFFTW) for efficient FFTs and [mpi4py](https://bitbucket.org/mpi4py/mpi4py) for MPI communications. However, if pyfftw is not found, then the slower numpy.fft is used instead. [cython](http://cython.org) is used to optimize a few routines. Install using regular python distutils:

python setup.py install --prefix="Path on the PYTHONPATH"

To install in place do:

python setup.py build_ext --inplace

To install using Anaconda, you may either compile it yourselves using (from the main directory):

conda config --add channels conda-forge
conda build conf/conda
conda install mpiFFT4py --use-local

or use precompiled binaries in the[conda-forge](https://anaconda.org/conda-forge/mpifft4py) or the [spectralDNS](https://anaconda.org/spectralDNS/mpifft4py) channel on Anaconda cloud:

conda install -c conda-forge mpifft4py

or:

conda config --add channels conda-forge
conda install -c spectralDNS mpifft4py

There are binaries compiled for both OSX and linux, and several versions of Python. Note that the spectralDNS channel contains bleeding-edge versions of the Software, whereas conda-forge is more stable.

mpiFFT4py is developed by

• Mikael Mortensen

mpiFFT4py is licensed under the GNU GPL, version 3 or (at your option) any later version. mpiFFT4py is Copyright (2014-2016) by the authors.

The latest version of this software can be obtained from

https://github.com/spectralDNS/mpiFFT4py

Please report bugs and other issues through the issue tracker at:

https://github.com/spectralDNS/mpiFFT4py/issues