PyCuda

An open source Python wrapper for the Nvidia CUDA API
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PyCuda Ranking & Summary

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  • Rating:
  • License:
  • MIT
  • Price:
  • FREE
  • Publisher Name:
  • Andreas Kloeckner
  • Publisher web site:
  • http://mathema.tician.de/
  • Operating Systems:
  • Mac OS X
  • File Size:
  • 95 KB

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PyCuda Description

An open source Python wrapper for the Nvidia CUDA API PyCuda will allow you to access Nvidia's CUDA parallel computation API from Python. Several wrappers of the CUDA API already exist-so what's so special about PyCuda? Here are some key features of "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. Requirements: · Boost · CUDA 2.0 Beta or later · Numpy 1.0.4 or later


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