https://github.com/lebedov/scikit-cuda

Python interface to GPU-powered libraries
https://github.com/lebedov/scikit-cuda

blas cublas cuda cufft cusolver gpu lapack numerical pycuda python

Last synced: 9 days ago
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Python interface to GPU-powered libraries

• Host: GitHub
• URL: https://github.com/lebedov/scikit-cuda
• Owner: lebedov
• License: other
• Created: 2010-09-27T02:02:07.000Z (about 14 years ago)
• Default Branch: master
• Last Pushed: 2023-10-15T05:57:46.000Z (about 1 year ago)
• Last Synced: 2024-10-30T04:02:10.328Z (9 days ago)
• Topics: blas, cublas, cuda, cufft, cusolver, gpu, lapack, numerical, pycuda, python
• Language: Python
• Homepage: http://scikit-cuda.readthedocs.org/
• Size: 2.44 MB
• Stars: 986
• Watchers: 49
• Forks: 179
• Open Issues: 58
• Metadata Files:
  • Readme: README.rst
  • Changelog: CHANGES
  • License: LICENSE
  • Authors: AUTHORS

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• awesome-python-machine-learning-resources - GitHub - 22% open · ⏱️ 31.03.2022): (GPU实用程序)

README

        
.. -*- rst -*-

..  image:: https://raw.githubusercontent.com/lebedov/scikit-cuda/master/docs/source/_static/logo.png

   :alt: scikit-cuda

Package Description

-------------------

scikit-cuda provides Python interfaces to many of the functions in the CUDA

device/runtime, CUBLAS, CUFFT, and CUSOLVER libraries distributed as part of

NVIDIA's `CUDA Programming Toolkit `_, as well as

interfaces to select functions in the `CULA Dense Toolkit `_.

Both low-level wrapper functions similar to their C counterparts and high-level

functions comparable to those in `NumPy and Scipy `_ are provided.

.. image:: https://zenodo.org/badge/doi/10.5281/zenodo.3229433.svg

    :target: http://dx.doi.org/10.5281/zenodo.3229433

    :alt: 0.5.3

.. image:: https://img.shields.io/pypi/v/scikit-cuda.svg

    :target: https://pypi.python.org/pypi/scikit-cuda

    :alt: Latest Version

.. image:: https://img.shields.io/pypi/dm/scikit-cuda.svg

    :target: https://pypi.python.org/pypi/scikit-cuda

    :alt: Downloads

.. image:: http://prime4commit.com/projects/102.svg

    :target: http://prime4commit.com/projects/102

    :alt: Support the project

.. image:: https://www.openhub.net/p/scikit-cuda/widgets/project_thin_badge?format=gif

    :target: https://www.openhub.net/p/scikit-cuda?ref=Thin+badge

    :alt: Open Hub

Documentation

-------------

Package documentation is available at

``_.  Many of the high-level

functions have examples in their docstrings. More illustrations of how

to use both the wrappers and high-level functions can be found in the

``demos/`` and ``tests/`` subdirectories.

Development

-----------

The latest source code can be obtained from

``_.

When submitting bug reports or questions via the `issue tracker

`_, please include the following

information:

- Python version.

- OS platform.

- CUDA and PyCUDA version.

- Version or git revision of scikit-cuda.

Citing

------

If you use scikit-cuda in a scholarly publication, please cite it as follows: ::

    @misc{givon_scikit-cuda_2019,

              author = {Lev E. Givon and

                        Thomas Unterthiner and

                        N. Benjamin Erichson and

                        David Wei Chiang and

                        Eric Larson and

                        Luke Pfister and

                        Sander Dieleman and

                        Gregory R. Lee and

                        Stefan van der Walt and

                        Bryant Menn and

                        Teodor Mihai Moldovan and

                        Fr\'{e}d\'{e}ric Bastien and

                        Xing Shi and

                        Jan Schl\"{u}ter and

                        Brian Thomas and

                        Chris Capdevila and

                        Alex Rubinsteyn and

                        Michael M. Forbes and

                        Jacob Frelinger and

                        Tim Klein and

                        Bruce Merry and

                        Nate Merill and

                        Lars Pastewka and

                        Li Yong Liu and

                        S. Clarkson and

                        Michael Rader and

                        Steve Taylor and

                        Arnaud Bergeron and

                        Nikul H. Ukani and

                        Feng Wang and

                        Wing-Kit Lee and

                        Yiyin Zhou},

        title        = {scikit-cuda 0.5.3: a {Python} interface to {GPU}-powered libraries},

        month        = May,

        year         = 2019,

        doi          = {10.5281/zenodo.3229433},

        url          = {http://dx.doi.org/10.5281/zenodo.3229433},

        note         = {\url{http://dx.doi.org/10.5281/zenodo.3229433}}

    }

Authors & Acknowledgments

-------------------------

See the included `AUTHORS

`_

file for more information.

Note Regarding CULA Availability

--------------------------------

As of 2021, the CULA toolkit by `EM Photonics `_ no longer appears to be available.

Related

-------

Python wrappers for `cuDNN `_ by Hannes

Bretschneider are available `here

`_.

`ArrayFire `_ is a free library containing many GPU-based routines with an `officially supported Python interface `_.

License

-------

This software is licensed under the `BSD License

`_.  See the included

`LICENSE

`_

file for more information.