Metadata-Version: 2.1
Name: scikit-cuda
Version: 0.5.2
Summary: Python interface to GPU-powered libraries
Home-page: https://github.com/lebedov/scikit-cuda/
Author: Lev E. Givon
Author-email: lev@columbia.edu
License: BSD
Description: 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 <http://www.nvidia.com/cuda/>`_, as well as
        interfaces to select functions in the `CULA Dense Toolkit <http://www.culatools.com/dense>`_.
        Both low-level wrapper functions similar to their C counterparts and high-level
        functions comparable to those in `NumPy and Scipy <http://www.scipy.org>`_ are provided.
        
        .. image:: https://zenodo.org/badge/doi/10.5281/zenodo.1479820.svg
            :target: http://dx.doi.org/10.5281/zenodo.1479820
            :alt: 0.5.2
        .. 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
        `<http://scikit-cuda.readthedocs.org/>`_.  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
        `<https://github.com/lebedov/scikit-cuda>`_.
        
        When submitting bug reports or questions via the `issue tracker 
        <https://github.com/lebedov/scikit-cuda/issues>`_, 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_2018,
                      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 0.5.2: a {Python} interface to {GPU}-powered libraries},
                month        = November,
                year         = 2018,
                doi          = {10.5281/zenodo.1479820},
                url          = {http://dx.doi.org/10.5281/zenodo.1479820},
                note         = {\url{http://dx.doi.org/10.5281/zenodo.1479820}}
            }
        
        Authors & Acknowledgments
        -------------------------
        See the included `AUTHORS
        <https://github.com/lebedov/scikit-cuda/blob/master/docs/source/authors.rst>`_
        file for more information.
        
        Note Regarding CULA Availability
        --------------------------------
        As of 2017, the CULA toolkit is available to premium tier users of
        `Celerity Tools <http://www.celeritytools.com>`_ (EM Photonics' new
        HPC site).
        
        Related
        -------
        Python wrappers for `cuDNN <https://developer.nvidia.com/cudnn>`_ by Hannes 
        Bretschneider are available `here
        <https://github.com/hannes-brt/cudnn-python-wrappers>`_.
        
        `ArrayFire <https://github.com/arrayfire/arrayfire>`_ is a free library containing many GPU-based routines with an `officially supported Python interface <https://github.com/arrayfire/arrayfire-python>`_.
        
        License
        -------
        This software is licensed under the `BSD License
        <http://www.opensource.org/licenses/bsd-license.php>`_.  See the included
        `LICENSE
        <https://github.com/lebedov/scikit-cuda/blob/master/docs/source/license.rst>`_
        file for more information.
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development
Provides-Extra: scipy
Provides-Extra: sphinx_rtd_theme
Provides-Extra: sphinx
