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Python wrapper for Nvidia CUDA

Project description

PyCuda lets you access `Nvidia <http://nvidia.com>`_'s `CUDA
<http://nvidia.com/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 <http://en.wikipedia.org/wiki/Resource_Acquisition_Is_Initialization>`_
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 <http://tiker.net/doc/pycuda>`_.

Project details


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2017.1.1

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2016.1.2

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2016.1.1

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2011.1

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0.94.2

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0.94.1

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0.94

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0.93

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0.92

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0.92rc

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0.91.1

This version
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0.91

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0.91rc3

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0.91rc2

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0.91rc

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0.90.2

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0.90.1

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0.90

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