Result for 13A85612051216FEF03482042748CEEAA65C775A

Query result

Key Value
FileName./usr/share/doc/python-pycuda-doc/examples/test_gpuarray.py
FileSize27286
MD5B029582279DF28E63977B8C51746ECA7
SHA-113A85612051216FEF03482042748CEEAA65C775A
SHA-25610CBD2FEDC350115FF023A12C78FDD2F32DEC6528A13CE70CD79315B4A3829C8
SSDEEP768:F8jNR9X1jXyXRRwly9vcZ4DN09BxT+b+BpLuKAE40L/XBey3b:FS91XyXRRwly9vcmN09BxT+b+BpLuKA+
TLSHT177C273164E5B9EBC0B93617C44E68A211299B5874B0C28F274ED2764DF19237F37A2BC
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize121238
MD5C4E65F38C34CDFB41E9E87C44B27A227
PackageDescriptionmodule to access Nvidia‘s CUDA computation API (documentation) 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. * 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. . This package contains HTML documentation and example scripts.
PackageMaintainerTomasz Rybak <tomasz.rybak@post.pl>
PackageNamepython-pycuda-doc
PackageSectioncontrib/doc
PackageVersion2014.1-3
SHA-11BDB201A404831B25FF18CC3D1A3D1D96C30A4CA
SHA-256D22CCAA27B9C7C511F994AE05367E43D665EB7F35F8084FA6E7BFB6A05621D04