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. The Python GPU interface is here. 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) (bibtex)
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.
Metadata
Release files for cufinufft 2.5.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| cufinufft-2.5.1.tar.gz | 283.4 kB | Without provenance | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cufinufft-2.5.1-py3-none-win_amd64.whl | Python 3 | none | Windows x86-64 | Details |
| cufinufft-2.5.1-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | Python 3 | none | Linux glibc 2.17+ x86-64 | Details |
Total release size: 229.3 MB
Release files / cufinufft-2.5.1.tar.gz
| Download URL | cufinufft-2.5.1.tar.gz |
|---|---|
| Size | 283.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
f12849b91674d049543cb963c94c0ee60e8e34e1bbad5e32fefe12961b0621b4
|
|
BLAKE2b-256 checksum How to use checksums |
bef821ea7b6825bddd6612d0aa63fad7a6788cd5618da4e8594b09beae068134
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.3
|
Release files / cufinufft-2.5.1-py3-none-win_amd64.whl
| Download URL | cufinufft-2.5.1-py3-none-win_amd64.whl |
|---|---|
| Size | 114.4 MB |
| Tags | Python 3 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
de49255dc2f8eeda05e5bae762e85dc184c4187dbe5caccf42a73264ab33ef48
|
|
BLAKE2b-256 checksum How to use checksums |
6d2870c43edf6cc574d882f66d1a4965e2fb37cafccde67379c140d64a78e41c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.3
|
Release files / cufinufft-2.5.1-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | cufinufft-2.5.1-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 114.5 MB |
| Tags | Linux glibc 2.17+ x86-64 Python 3 |
|
SHA-256 checksum How to use checksums |
36fcec056ef44c56a34f859215433c7e9360aea2808202a273a9b4fddaa86e79
|
|
BLAKE2b-256 checksum How to use checksums |
3c0556764e28f7509554d4930c75295898a759af17e43c96a1ffb568a8ac4cfb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.3
|
Security for cufinufft 2.5.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.