Result for 004C6FA49C4632ADB696CCF1D5B038FA489885CB

Query result

Key Value
FileName./usr/share/doc/libcombblas-docs/html/debian_2libcombblas-dev_2usr_2include_2CombBLAS_2SpParHelper_8cpp.html
FileSize13372
MD5E20FD086D4F777D6A95A2007B882AC78
SHA-1004C6FA49C4632ADB696CCF1D5B038FA489885CB
SHA-2565F795BD0B80BD176E204CDE7A2F09C629901809AD2E6EB27A0882C4E2C9F8C63
SSDEEP192:w1ukDoHn8Wzc0TQ9Pdmx0xpdJKOpW1T9asgKnYSJe5gc:YLDoHnxQ9PdmSbDW1TQkW
TLSHT10652002590D8CE3779861DE1C2D5AE2B20CBE735536EC900329822ABDF85BA5CD1F033
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 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