Result for 00314F02BEA1A7C3214C5DA9EA5470DF0EF6F4F4

Query result

Key Value
FileName./usr/share/doc/libcombblas-docs/html/structutils_1_1maxF.js
FileSize209
MD5A268C7E9322665EB1482A63575F2AF02
SHA-100314F02BEA1A7C3214C5DA9EA5470DF0EF6F4F4
SHA-2561E8B7D127D0A556BBD42F2E4734A7DD415E1A39B13AC46C74E35A81A7C2D8FBB
SSDEEP6:qwAfFJoA8aag0sH092s+JoA8aag0sH093e:od820sH5b820sHye
TLSHT1A5D0C948E1A88986A6D032AC4AFA14D9B591D0722A7EE15518A8B61EEDA83D89368002
hashlookup:parent-total3
hashlookup:trust65

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Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize130830560
MD5B275BD8B83726F87A4DB0948BB39DF43
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
PackageVersion1.6.2-6
SHA-1242D377CEE0AF240AA6BCC3162E9C615027BD1A7
SHA-2564E0F6E66CE0ADDB039B4D1D597F2D82B5208F7EBB9564F275FA2EB28AF2421BF
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
Key Value
FileSize130832092
MD56AA130C3AA02E5EAAD7F0540E8380DD1
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
PackageVersion1.6.2-8
SHA-1E4C239542896E3353432F9BE55CE5CD7526BC04A
SHA-256AA220A2D2C108A88B3776D0D8A55886DF5062F79636A06ADB87565EC0517A236