PyOpenCL lets you access the OpenCL parallel computation API from Python. Here’s what sets PyOpenCL apart:
- Object cleanup tied to lifetime of objects. This idiom, often called RAII 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.
- Convenience. While PyOpenCL’s primary focus is to make all of OpenCL accessible, it tries hard to make your life less complicated as it does so—without taking any shortcuts.
- Automatic Error Checking. All OpenCL 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, complete documentation and a wiki.
- Liberal licensing (MIT).
See the PyOpenCL Documentation.
Or get it directly from my source code repository by typing
git clone --recursive http://git.tiker.net/trees/pyopencl.git
You may also browse the source.
Prerequisites: All you need is an OpenCL implementation. And Python obviously.