Package: python3-pycuda (2024.1~dfsg-1) [contrib]

[ Source: pycuda  ]

Python 3 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.

This package contains Python 3 modules.

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Architecture	Package Size	Installed Size	Files
amd64	497.9 kB	3,680.0 kB	[list of files]
arm64	462.7 kB	3,950.0 kB	[list of files]
ppc64el	473.2 kB	4,270.0 kB	[list of files]