Result for 004713A3DCAEF83CB11E859BDAC62682632B5789

Query result

Key Value
FileName./usr/share/doc/libcombblas-docs/html/debian_2tmp_2usr_2include_2graph500_2generator_2make__graph_8h__incl.dot
FileSize574
MD56ADCC7D366A96FFE72268C6B403BD3FF
SHA-1004713A3DCAEF83CB11E859BDAC62682632B5789
SHA-256F9C4006EC285930E48273E891DE8E63244579CB3A8DF41F93C45E62EE274524A
SSDEEP12:mAZLNVCjaAPPhHAamA7KI+63baIVFUSDvJDOphbUd2M9ItiHij/:msIP5HSI+ebaIVFUSDRipxUd2gItTj/
TLSHT132F04C12D190DF2FD0312288B058996B7C69D122C25EAEDCB30094EFE1DACE11109AED
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
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
FileSize2241572
MD5B6501023903A2CA9EAC25B15D1F0E37A
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
PackageVersion1.6.2-3
SHA-1D32759E12D219F2DE987702F7D0BC97BEE502933
SHA-25621411533BC01D320F4125F1D99A3C5B22AC3FC87933A88A13B09D109A1A9B96D