Result for 0083B7DD04AF7EDF3C335435DCB76346C71D607F

Query result

Key Value
FileName./usr/share/doc/libcombblas-docs/html/debian_2tmp_2usr_2include_2Tommy_2tommyhash_8h__dep__incl.png
FileSize4187
MD5461F7F0C7CD24B185EB7F75A236E6B87
SHA-10083B7DD04AF7EDF3C335435DCB76346C71D607F
SHA-25659D1D66B675A41382A867F89282FBA0D3435BDEA8EDAD518A33B6FB19BF8CF47
SSDEEP96:PP9THuWaUxhxWoswSzSCpHcbO4j/0hqGpTIDecI1spes22TLMU9Lj:PZHEU5fBCzB4D0wis2DsIU9Lj
TLSHT1B3818D6A8AF729FDE6677F23CD6C13051A1151F34EB65B402D491E74E20E68E31B08A1
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
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
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