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pycuda 2011.2.2

Company: Andreas Kloeckner
Date Added: October 29, 2013  |  Visits: 187

pycuda

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PyCuda is a library that 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?<br /><br />* 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.<br />* Convenience. Abstractions like pycuda.driver.SourceModule and pycuda.gpuarray.GPUArray make CUDA programming even more convenient than with Nvidia's C-based runtime.<br />* Completeness. PyCuda puts the full power of CUDA's driver API at your disposal, if you wish.<br />* Automatic Error Checking. All CUDA errors are automatically translated into Python exceptions.<br />* Speed. PyCuda's base layer is written in C++, so all the niceties above are virtually free.<br /><br />#md5=0bf448df2930f436b4c8558b0c2cefbe

Requirements: No special requirements
Platforms: *nix, Linux
Keyword: Abstractions Allocated Automatic Cbased Completeness Convenience Convenient Driver Freed Power Programming Pycuda Python Runtime
Users rating: 0/10

License: Freeware Size: 1.25 MB
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