Result for 0062BD88BBDDC6F78F6F6D0B8C81A1698067C97D

Query result

Key Value
FileName./usr/share/doc/libcombblas-docs/html/debian_2libcombblas-dev_2usr_2include_2CombBLAS_2MPIOp_8h.js
FileSize2806
MD523E88BF26A1698192AAA17C37503F7AF
SHA-10062BD88BBDDC6F78F6F6D0B8C81A1698067C97D
SHA-256EB279BE885992ABED71022B19D8E1238154779F6312324F18154E89FBE7FA88E
SSDEEP48:Hf08L48hlRk8P68HN8Zf8AwP83b8yj8Jwj81rtV:QeH
TLSHT13D516F7C42B4A5527A5BD39485F09DF07A0CFD36C75B97E34BBF32380A596220225E23
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
FileSize3014160
MD5F2AF3CBBB70D81E313F1A627EECC5144
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
PackageVersion1.6.2-3
SHA-1E49F9864A82A3D512DDFB90677EF0ABD2E1F8BA0
SHA-25624CBEC3BC71612805223CFD49932975D76C4E823A3551488CDCB8E103A8EB564
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