Result for 00CBE2D196DAF0932E8C2887F0FC18DA268DA5B9

Query result

Key Value
FileName./usr/share/doc/libcombblas-docs/html/structintSort_1_1eBits.html
FileSize16820
MD563A7CEB2A11986086C24D0DC456D50CC
SHA-100CBE2D196DAF0932E8C2887F0FC18DA268DA5B9
SHA-256B7AAA7FA43B2483E91AE14DE31881168B44D773C639F1CD7CAF0081F32DE2352
SSDEEP384:FLDoHnsT7yJze2viQtw12viQtwjtwgtwC2a5eyW:FLDoHsTgBw4wxwYwC2a5eyW
TLSHT110725216A8E2937B98C330D3E6A57F7679C14022C3424510BCFDBAE75F59EC4E62741A
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize130830560
MD5B275BD8B83726F87A4DB0948BB39DF43
PackageDescriptionan extensible parallel graph library for graph analytics (docs) The Combinatorial BLAS (CombBLAS) is an extensible distributed-memory parallel graph library offering a small but powerful set of linear algebra primitives specifically targeting graph analytics. . - The Combinatorial BLAS development influences the Graph BLAS standardization process. - It achieves scalability via its two dimensional distribution and coarse-grained parallelism. - CombBLAS powers HipMCL, a highly-scalable parallel implementation of the Markov Cluster Algorithm (MCL). - Operations among sparse matrices and vectors use arbitrary user defined semirings. . This package provides full HTML documentation for the CombBLAS API.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibcombblas-docs
PackageSectionlibdevel
PackageVersion1.6.2-6
SHA-1242D377CEE0AF240AA6BCC3162E9C615027BD1A7
SHA-2564E0F6E66CE0ADDB039B4D1D597F2D82B5208F7EBB9564F275FA2EB28AF2421BF
Key Value
FileSize130832092
MD56AA130C3AA02E5EAAD7F0540E8380DD1
PackageDescriptionan extensible parallel graph library for graph analytics (docs) The Combinatorial BLAS (CombBLAS) is an extensible distributed-memory parallel graph library offering a small but powerful set of linear algebra primitives specifically targeting graph analytics. . - The Combinatorial BLAS development influences the Graph BLAS standardization process. - It achieves scalability via its two dimensional distribution and coarse-grained parallelism. - CombBLAS powers HipMCL, a highly-scalable parallel implementation of the Markov Cluster Algorithm (MCL). - Operations among sparse matrices and vectors use arbitrary user defined semirings. . This package provides full HTML documentation for the CombBLAS API.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibcombblas-docs
PackageSectionlibdevel
PackageVersion1.6.2-8
SHA-1E4C239542896E3353432F9BE55CE5CD7526BC04A
SHA-256AA220A2D2C108A88B3776D0D8A55886DF5062F79636A06ADB87565EC0517A236