Result for 0093C88CD9601C5A998CC1B0596BF63933FC88AC

Query result

Key Value
FileName./usr/share/doc/libcombblas-docs/html/inherit_graph_61.png
FileSize4802
MD5D933A6C524B04D5075BECDF54A895550
SHA-10093C88CD9601C5A998CC1B0596BF63933FC88AC
SHA-256157F2CCDBFE04A8B68600A9984EB3DB186AE1676EDA54785A4287B45F9AD58F8
SSDEEP96:Ri5BAux1Q5SZ514daHUP3T4MOJmvUr8P4Xk+x0gwKuHRlxoHmBul:grbS65WdcWsyMr24XkYwNRlxAr
TLSHT1D6A17DFBE5A3A162AF43612AFCAC6C2908044A84F3220273D18185B43FFBF2DD79110D
hashlookup:parent-total2
hashlookup:trust60

Network graph view

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
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
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