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Python wrapper for Nvidia CUDA

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. 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.


Related Projects


LicenseVerified byVerified onNotes
OtherKelly Hopkins6 April 2010
ExpatKelly Hopkins6 April 2010

Leaders and contributors

Andreas Kloeckner Maintainer

Resources and communication

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Software prerequisites

This entry (in part or in whole) was last reviewed on 6 April 2010.


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