Metadata-Version: 2.1
Name: cufinufft
Version: 2.4.1
Summary: Non-uniform fast Fourier transforms on the GPU
Author: Yu-shuan Melody Shih, Garrett Wright, Joakim Anden, Marco Barbone, Robert Blackwell, Johannes Blascke, Alex Barnett
Maintainer-Email: Joakim Anden <janden-vscholar@flatironinstitute.org>
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: C++
Classifier: Operating System :: POSIX :: Linux
Classifier: Environment :: GPU
Classifier: Topic :: Scientific/Engineering :: Mathematics
Requires-Python: >=3.8
Requires-Dist: numpy
Requires-Dist: packaging
Description-Content-Type: text/markdown

# FINUFFT GPU library Python wrappers

This is a Python interface to the efficient GPU CUDA implementation of the 1-, 2- and
3-dimensional nonuniform fast Fourier transform (NUFFT), provided
in the FINUFFT library. It performs type
1 (nonuniform to uniform) or type 2 (uniform to nonuniform) transforms.
For a mathematical description of the NUFFT and applications to signal
processing, imaging, and scientific computing, see [the FINUFFT
documentation](https://finufft.readthedocs.io).
The Python GPU interface is [here](https://finufft.readthedocs.io/en/latest/python_gpu.html).
Usage examples can be found in the examples folder in the same directory as
the file you are reading.

If you use this GPU feature of our package, please cite our GPU paper:

Y. Shih, G. Wright, J. Andén, J. Blaschke, A. H. Barnett (2021).
cuFINUFFT: a load-balanced GPU library for general-purpose nonuniform FFTs.
arXiv preprint arXiv:2102.08463.
[(paper)](https://arxiv.org/abs/2102.08463)
[(bibtex)](https://arxiv.org/bibtex/2102.08463)

**Note**: With version 2.2 we have changed the GPU interfaces slightly to better align with FINUFFT. For an outline of the changes, please see [the migration guide](https://finufft.readthedocs.io/en/latest/cufinufft_migration.html).
