Skip to main content

Efficient and easy Fast Fourier Transform for Python.

Project description

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 and fftw3-mpi

  • pfft

  • p3dfft

  • cufft (fft library by CUDA running on GPU)

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).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fluidfft-0.2.0.post3.tar.gz (74.5 kB view details)

Uploaded Source

File details

Details for the file fluidfft-0.2.0.post3.tar.gz.

File metadata

File hashes

Hashes for fluidfft-0.2.0.post3.tar.gz
Algorithm Hash digest
SHA256 02cb1c64dc9f57d1de50e55d7e548fba0b5af834af13a9f09859ee10addb6c5e
MD5 0bf72af6be569345a1cafdb1c360e3c5
BLAKE2b-256 a8f675c6176ce87dadce17035fd42e7aa926bc13c5a19da83ef29f11e8941960

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page