Result for 00822467165C29CE55CE4C7507A59BE170FEB286

Query result

Key Value
FileName./usr/share/doc/libcombblas-docs/html/MD_8cpp.html
FileSize26462
MD52D3CA71E4DFE92324CB84D288EA4C065
SHA-100822467165C29CE55CE4C7507A59BE170FEB286
SHA-256A744F49DD94C151FEECB89DADE0C8710A18D767CD83D6B51A7FE6BE280A04A53
SSDEEP384:/LDoHnsT7yh3Qu1rbKg2BqYiQGjqYiQGLqYiQG7tiQGXGuG7C:/LDoHsTIQu1rbKg2C8kI2r7C
TLSHT1FCC2742159D3567759C332E2ABA83F7B75E04257E6824490BAFD6EE31F48FC8C243026
hashlookup:parent-total3
hashlookup:trust65

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Parents (Total: 3)

The searched file hash is included in 3 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
Key Value
FileSize141762948
MD53ECBF763EC6968A32159323A74C47014
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamelibcombblas-docs
PackageSectionlibdevel
PackageVersion1.6.2-6
SHA-1C8CDAACB1CAEEFD6A5D4C3D75E53F6759AA0669B
SHA-256A52874E0AD1D524CD79D16AD4A3C91D3BD0088DE9F56BEEE942323652B78234A