Result for 003F4AC255CFDE5324B98DE66CA4AA3A3453910B

Query result

Key Value
FileName./usr/share/doc/libcombblas-docs/html/debian_2libcombblas-dev_2usr_2include_2CombBLAS_2MultiwayMerge_8h_source.html
FileSize48965
MD54987C07C36CA18142DABD8D364EDD918
SHA-1003F4AC255CFDE5324B98DE66CA4AA3A3453910B
SHA-2560AC2FD8654B52424BD3F333E85C2D1FA2A490C4A67C5FB371814EC773725C8AB
SSDEEP768:QLDzpH2QWNbfiDQI9ebFrpKfCQQGlWFvrnKH83Xgqq:QLDzpH2rNbfiDQI9eBtKfCQQGlEvrnKJ
TLSHT1DB239C69D9D30C321663D5E2A9B5AF7D34E7722AC78B060CBAEC376517C7E40789B404
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
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