Result for 0007D4ED6D3AC9EE214F7E92D1CB23B587A48F97

Query result

Key Value
FileName./usr/share/doc/libcombblas-docs/html/include_2CombBLAS_2SpParMat_8cpp__incl.map
FileSize5312
MD5C1CA21A6DB7DD5A60AB8DFD1E010B0BD
SHA-10007D4ED6D3AC9EE214F7E92D1CB23B587A48F97
SHA-256E28EF2E5D7D21392CD9154C57B114F7BF2B7789F920F73FDAEE1E411329A34E8
SSDEEP48:r6JyghVKrxeFg3mMMQmwZ59cmQd6DGHhoOM0wUmnfPoR:hghorxuUfMrcSvvwUmnfQR
TLSHT13EB1C229A2BCCE2B7C0929E4D2DC4C0F65A66BB6679D4D0071807535DD923B8EE1F133
hashlookup:parent-total4
hashlookup:trust70

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Parents (Total: 4)

The searched file hash is included in 4 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
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
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
FileSize157111108
MD57BA7D5E9EFEDEB43D2003C9B3299BCD2
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
PackageVersion1.6.2-5build1
SHA-16AFEFB33B02CD2286649B82D028589EA9DD2895B
SHA-2565B56A5ECAF10523700DE333CFAE9A67C1D7DD74A4D77210FA54E0B7D00C82B38