Result for 000BA984F6690303B9FDA11A87640EB5D2FCC403

Query result

Key Value
FileName./usr/share/doc/libcombblas-docs/html/debian_2libcombblas-dev_2usr_2include_2usort_2indexHolder_8h_source.html
FileSize38231
MD57BB251371C79FE263D9E2D3A8AF38CA0
SHA-1000BA984F6690303B9FDA11A87640EB5D2FCC403
SHA-256A283C8303714960F7B335950A78A066DD613EC7D5B8D1A60D386DCEF1FEEF41F
SSDEEP192:wAukDoHn8Wzc0TQ9POGtPW6CdgjMp3gkCTS3o+RgV2qLVC4phnZXIeDJI8eMmJeS:ZLDoHnxQ9POISbc2eF0r77qTDdcM/m
TLSHT1D4039F7186C304334963E5E66BF1BF7D34E7A62ADA4A1E48B6FC239507C6FC1B94A110
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