Result for 23D2EF492112DBA69CC650C8CE4C4ABF1C5CEB7B

Query result

Key Value
FileName./usr/share/doc/python-pycuda-doc/html/py-modindex.html
FileSize7437
MD5D3194713739C9BD84F9DA8E93037F9E9
SHA-123D2EF492112DBA69CC650C8CE4C4ABF1C5CEB7B
SHA-2566127396802144A64FF8DD9A64C7389C29EE43FBB9A3805915FEC55EEDDD31118
SSDEEP96:AjTffPDmirEurP+eRneEBtn8ISs6iSS0mKmeOk9l:y3GurP+eRneQR8ISs6iSBmKmeRl
TLSHT15BE11F2268E69527610186C89A807F2E7CD391A7C3675C403CBD1ABB8F41FF5586B38F
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
FileSize119920
MD5158BB44533455573E62107537FB844B4
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-pycuda-doc
PackageSectioncontrib/doc
PackageVersion2017.1.1-2
SHA-16388E63938291460F1F5EACE8EA6B650BF147E5D
SHA-256F63BD0C0CC562F5B2B9CA457D955C81819DA39AD4183B9E4BFBB2B87BE118F1E