Result for 004310C8378001F8DCB7D0EFF9CCB096AC49CB10

Query result

Key Value
FileName./usr/share/doc/libcombblas-docs/html/debian_2tmp_2usr_2include_2psort_2psort__samplesort_8h__incl.png
FileSize35284
MD5DBCB494C5633DBC6AA032996B4E22242
SHA-1004310C8378001F8DCB7D0EFF9CCB096AC49CB10
SHA-25644271CCCDB18A56E8CB4BB74936C5C737CC6B7C3E38E5970668A1E5E86768015
SSDEEP768:Zsd2AjntavcDLVbeLMkkpZ1ZJclTkCf65jFoG0K59rg1E:ZpcdDLTZ1EV5870K5Bg1E
TLSHT13DF2E191BB7E495FC300B245AED74B4F4F181002178959B2FB078698A97DFA22BDF325
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