Package: wnpp Severity: wishlist Owner: Yaroslav Halchenko <deb...@onerussian.com>
* Package name : python-pycuda Version : 0.93 Upstream Author : Andreas Kloeckner <inf...@tiker.net> * 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 about 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. 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 -- To UNSUBSCRIBE, email to debian-devel-requ...@lists.debian.org with a subject of "unsubscribe". Trouble? Contact listmas...@lists.debian.org
