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https://github.com/inducer/pycuda
CUDA integration for Python, plus shiny features
https://github.com/inducer/pycuda
array cuda gpu gpu-computing multidimensional-arrays pycuda python scientific-computing
Last synced: 10 days ago
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CUDA integration for Python, plus shiny features
- Host: GitHub
- URL: https://github.com/inducer/pycuda
- Owner: inducer
- License: other
- Created: 2011-04-06T02:53:31.000Z (over 13 years ago)
- Default Branch: main
- Last Pushed: 2024-10-17T01:51:01.000Z (22 days ago)
- Last Synced: 2024-10-19T03:44:00.036Z (20 days ago)
- Topics: array, cuda, gpu, gpu-computing, multidimensional-arrays, pycuda, python, scientific-computing
- Language: Python
- Homepage: http://mathema.tician.de/software/pycuda
- Size: 2.92 MB
- Stars: 1,838
- Watchers: 56
- Forks: 284
- Open Issues: 86
-
Metadata Files:
- Readme: README.rst
- License: LICENSE
- Citation: CITATION.cff
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README
PyCUDA: Pythonic Access to CUDA, with Arrays and Algorithms
=============================================================.. image:: https://gitlab.tiker.net/inducer/pycuda/badges/main/pipeline.svg
:alt: Gitlab Build Status
:target: https://gitlab.tiker.net/inducer/pycuda/commits/main
.. image:: https://badge.fury.io/py/pycuda.png
:target: https://pypi.org/project/pycuda
.. image:: https://zenodo.org/badge/1575319.svg
:alt: Zenodo DOI for latest release
:target: https://zenodo.org/badge/latestdoi/1575319PyCUDA 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. It also includes code for
interoperability with OpenGL.* 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 `_.
Relatedly, like-minded computing goodness for `OpenCL `_
is provided by PyCUDA's sister project `PyOpenCL `_.