Bug#546919: ITP: python-pycuda -- module to access Nvidia‘s CUDA parallel computation API
Owner: Yaroslav Halchenko <email@example.com>
* Package name : python-pycuda
Version : 0.93
Upstream Author : Andreas Kloeckner <firstname.lastname@example.org>
* URL : http://mathema.tician.de/software/pycuda
* License : MIT
Programming Lang: C++, Python
Description : module to access Nvidia‘s CUDA parallel computation API
PyCUDA lets you access Nvidia‘s CUDA parallel computation API from
Python. Several wrappers of the CUDA API already exist–so what’s so special
* 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.
PyCUDA knows about dependencies, too, so (for example) it won’t detach from a
context before all memory allocated in it is also freed.
* Convenience. Abstractions like pycuda.driver.SourceModule and
pycuda.gpuarray.GPUArray make CUDA programming even more convenient than with
Nvidia’s C-based runtime.
* Completeness. PyCUDA puts the full power of CUDA’s driver API at your
disposal, if you wish.
* Automatic Error Checking. All CUDA errors are automatically translated
into Python exceptions.
* Speed. PyCUDA’s base layer is written in C++, so all the niceties
above are virtually free.
* Helpful Documentation.
To be submitted into contrib section due to dependency on nvcc (non-free, not
yet in Debian either).
Additional things needed to be package prior:
http://pypi.python.org/pypi/pytools -- MIT license