[ Source: pyopencl ]
Package: python-pyopencl-doc (2024.1-1)
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- Homepage [mathema.tician.de]
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module to access OpenCL parallel computation API (documentation)
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).
This package contains HTML documentation and example scripts.
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Download python-pyopencl-doc
Architecture | Package Size | Installed Size | Files |
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all | 288.8 kB | 2,245.0 kB | [list of files] |