PyOpenCL
PyOpenCL
http://mathema.tician.de/software/pyopencl
Python wrapper for OpenCL
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:
- 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. 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 as well as a Wiki.
- Liberal license. PyOpenCL is under the MIT license and free for commercial, academic, and private use.
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Leaders and contributors
Contact(s) | Role |
---|---|
Andreas Kloeckner | Maintainer |
Resources and communication
Audience | Resource type | URI |
---|---|---|
Developer | Homepage | http://pypi.python.org/pypi/pyopencl |
Software prerequisites
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