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Python GPU integration

Welcome to Clyther's documentation!

CLyther is a Python tool similar to Cython and PyPy. CLyther is a just-in-time specialization engine for OpenCL. The main entry points for CLyther are its :class:clyther.task and :class:clyther.kernel decorators. Once a function is decorated with one of these the function will be compiled to OpenCL when called.

CLyther is a Python language extension that makes writing OpenCL code as easy as Python itself. CLyther currently only supports a subset of the Python language definition but adds many new features to OpenCL.

CLyther exposes both the OpenCL C library as well as the OpenCL language to python.

Objectives: * Make it easy for developers to take advantage of OpenCL * Take advantage existing Python numerical algorithms * Accelerate my code!

Philosophy: * Enable users to have 100% control via Python. Access one to one mapping from Python to OpenCL. * Endorse native Python abstractions for convenience. e.g. Slice an array, pass a function as an argument.

.. warning::

This is a brand new version of CLyther. I have not released this yet. 

* If you do decide to use it then please think about :ref:`contribute`.
* The best place to add your input to the `Issue Tracker <https://github.com/srossross/Clyther/issues/>`_.

Links: +++++++++++

  • Homepage <http://srossross.github.com/Clyther/>_

  • Issue Tracker <https://github.com/srossross/Clyther/issues/>_

  • Development documentation <http://srossross.github.com/Clyther/develop/>_

  • PyPi <http://pypi.python.org/pypi/Clyther/>_

  • Github <https://github.com/srossross/Clyther/>_

  • OpenCL 1.1 spec <http://www.khronos.org/registry/cl/specs/opencl-1.1.pdf>_

.. seealso::

* `OpenCL for Python <http://srossross.github.com/oclpb>`_: Python bindings for OpenCL.
* `Meta <http://srossross.github.com/meta>`_: Metaprogramming utilities for Python.