FluidFFT documentation

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

pfft and p3dfft are specialized in computing FFT efficiently on several cores of big clusters. The data is spit in pencils and can be distributed on several processes.

Fluidfft provides an uniform API for all these libraries. Fluidfft can be used for example as a base to write pseudo-spectral simulation codes. In particular, fluidfft is used in the code fluidsim. Fluidfft also provides classes to efficiently perform linear operators (gradient, divergence, rotational, etc.) and easily deal with the data distribution (gather the data on one process, scatter the data to many processes).

Modules Reference

fluidfft Simple Fast Fourier Transform for Python

See also the documentation of the cpp code produced with Doxygen


Indices and tables