Metadata-Version: 1.2
Name: fluidfft
Version: 0.2.5
Summary: Efficient and easy Fast Fourier Transform (FFT) for Python.
Home-page: https://bitbucket.org/fluiddyn/fluidfft
Author: Pierre Augier
Author-email: pierre.augier@legi.cnrs.fr
License: CeCILL
Description: .. |travis| image:: https://travis-ci.org/fluiddyn/fluidfft.svg?branch=master
            :target: https://travis-ci.org/fluiddyn/fluidfft
        
        This package provides C++ classes and their Python wrapper classes written in
        Cython useful to perform Fast Fourier Transform (FFT) with different libraries,
        in particular
        
        - `fftw3 <http://www.fftw.org/>`_ and `fftw3-mpi
          <http://www.fftw.org/fftw3_doc/Distributed_002dmemory-FFTW-with-MPI.html>`_
          
        - `pfft <https://github.com/mpip/pfft>`_
        
        - `p3dfft <https://github.com/sdsc/p3dfft>`_
            
        - `cufft <https://developer.nvidia.com/cufft>`_ (fft library by CUDA
          running on GPU)
        
        `pfft <https://github.com/mpip/pfft>`_ and `p3dfft
        <https://github.com/sdsc/p3dfft>`_ are specialized in computing FFT efficiently
        on several cores of big clusters. The data is split in pencils and can be
        distributed on several processes.
        
        Fluidfft provides classes to use in a transparent way all these libraries with
        an unified API. These classes are not limited to just performing Fourier
        transforms. They are also an elegant solution to efficiently perform operations
        on data in real and spectral spaces (gradient, divergence, rotational, sum over
        wavenumbers, computation of spectra, etc.) and easily deal with the data
        distribution (gather the data on one process, scatter the data to many
        processes) without having to know the internal organization of every FFT
        library.
        
        Fluidfft hides the internal complication of (distributed) FFT libraries and
        allows the user to find (by benchmarking) and to choose the most efficient
        solution for a particular case. Fluidfft is therefore a very useful tool to
        write HPC applications using FFT, as for example pseudo-spectral simulation
        codes. In particular, fluidfft is used in the Computational Fluid Dynamics
        (CFD) framework `fluidsim <http://fluidsim.readthedocs.org>`_.
        
Keywords: Fast Fourier Transform,FFT,spectral code
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Education
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: GNU General Public License v2 (GPLv2)
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Cython
Classifier: Programming Language :: C
Requires-Python: >=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*
