PyCuda 2014.1

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?

Main features:

  • 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.

last updated on:
August 27th, 2014, 3:59 GMT
file size:
1.6 MB
price:
FREE!
developed by:
Andreas Kloeckner
license type:
MIT License 
operating system(s):
Mac OS X
binary format:
Universal Binary
category:
Home \ Development \ Libraries

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