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Metadata-Version: 1.1
Name: pyopencl
Version: 2017.2.2
Summary: Python wrapper for OpenCL
Home-page: http://mathema.tician.de/software/pyopencl
Author: Andreas Kloeckner
Author-email: inform@tiker.net
License: MIT
Description-Content-Type: UNKNOWN
Description: PyOpenCL lets you access GPUs and other massively parallel compute
        devices from Python. It tries to offer computing goodness in the
        spirit of its sister project `PyCUDA <http://mathema.tician.de/software/pycuda>`_:
        
        * Object cleanup tied to lifetime of objects. This idiom, often
          called
          `RAII <http://en.wikipedia.org/wiki/Resource_Acquisition_Is_Initialization>`_
          in C++, makes it much easier to write correct, leak- and
          crash-free code.
        
        * Completeness. PyOpenCL puts the full power of OpenCL's API at
          your disposal, if you wish.  Every obscure `get_info()` query and 
          all CL calls are accessible.
        
        * Automatic Error Checking. All CL errors are automatically
          translated into Python exceptions.
        
        * Speed. PyOpenCL's base layer is written in C++, so all the niceties
          above are virtually free.
        
        * Helpful and complete `Documentation <http://documen.tician.de/pyopencl>`_
          as well as a `Wiki <http://wiki.tiker.net/PyOpenCL>`_.
        
        * Liberal license. PyOpenCL is open-source under the 
          `MIT license <http://en.wikipedia.org/wiki/MIT_License>`_
          and free for commercial, academic, and private use.
        
        * Broad support. PyOpenCL was tested and works with Apple's, AMD's, and Nvidia's 
          CL implementations.
        
        What you'll need:
        
        *   gcc/g++ at or newer than version 4.8.2 and binutils at or newer than 2.23.52.0.1-10
            (CentOS version number).
            On Windows, use the `mingwpy <https://anaconda.org/carlkl/mingwpy>`_ compilers.
        *   `numpy <http://numpy.org>`_, and
        *   an OpenCL implementation. (See this `howto <http://wiki.tiker.net/OpenCLHowTo>`_ for how to get one.)
        
        Places on the web related to PyOpenCL:
        
        * `Python package index <http://pypi.python.org/pypi/pyopencl>`_ (download releases)
        
          .. image:: https://badge.fury.io/py/pyopencl.png
              :target: http://pypi.python.org/pypi/pyopencl
        * `C. Gohlke's Windows binaries <http://www.lfd.uci.edu/~gohlke/pythonlibs/#pyopencl>`_ (download Windows binaries)
        * `Github <http://github.com/inducer/pyopencl>`_ (get latest source code, file bugs)
        * `Documentation <http://documen.tician.de/pyopencl>`_ (read how things work)
        * `Wiki <http://wiki.tiker.net/PyOpenCL>`_ (read installation tips, get examples, read FAQ)
        
Platform: UNKNOWN
Classifier: Environment :: Console
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Other Audience
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: C++
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Physics