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Documenting that we are using serial FFTW libraries
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README.rst

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.. image:: https://readthedocs.org/projects/mpi4py-fft/badge/?version=latest
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:target: https://mpi4py-fft.readthedocs.io/en/latest/?badge=latest
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:alt: Documentation Status
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.. image:: https://anaconda.org/conda-forge/mpi4py-fft/badges/downloads.svg
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:target: https://anaconda.org/conda-forge/mpi4py-fft
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:alt: Total downloads from conda-forge
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can distribute just one index (a slab decomposition), two index sets (pencil
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decomposition) or even more for higher-dimensional arrays.
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In mpi4py-fft there is also included a Python interface to the
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`FFTW <http://www.fftw.org>`_ library. This interface can be used without MPI,
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mpi4py-fft comes with its own Python interface to the serial
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`FFTW <http://www.fftw.org>`_ library. This interface can be used
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much like `pyfftw <https://hgomersall.github.io/pyFFTW/>`_, and even for
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real-to-real transforms, like discrete cosine or sine transforms.
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* numpy
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* cython
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and the C-library
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and the serial C-library
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* `FFTW <http://www.fftw.org>`_
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docs/source/installation.rst

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Mpi4py-fft has a few dependencies
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* `mpi4py`_
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* `FFTW`_
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* `FFTW`_ (serial)
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* `numpy`_
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* `cython`_ (build dependency)
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* `h5py`_ (runtime dependency, optional)

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