Key | Value |
---|---|
FileName | ./usr/share/doc/libcombblas-docs/html/structcombblas_1_1promote__trait_3_01SpDCCols_3_01IT_00_01float_01_4_00_01SpDCCols_3_01IT_00_01int_01_4_01_4-members.html |
FileSize | 5918 |
MD5 | 8EE6B71B7711ED5811B5E88E2A42A646 |
SHA-1 | 0021CB5A72525B4287CA6384EDA95FC0F25B6CBA |
SHA-256 | 948F946D021075528F927D65DC4D0CCED311760B4C2DB7E601BC6CB37FC9F162 |
SSDEEP | 96:aDuukDoHnReWzc7t+QoIDV9b/U/Tk88C8f8997gI7gg7gF7g5CbA/:guukDoHn8Wzc06T7yTRpVo0CU |
TLSH | T116C1721EDCA28567C1E201D1F5F2AFD9E3E9CB10E354881071FE41EA6781FC6989391D |
hashlookup:parent-total | 2 |
hashlookup:trust | 60 |
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 |
---|---|
FileSize | 130830560 |
MD5 | B275BD8B83726F87A4DB0948BB39DF43 |
PackageDescription | an 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. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | libcombblas-docs |
PackageSection | libdevel |
PackageVersion | 1.6.2-6 |
SHA-1 | 242D377CEE0AF240AA6BCC3162E9C615027BD1A7 |
SHA-256 | 4E0F6E66CE0ADDB039B4D1D597F2D82B5208F7EBB9564F275FA2EB28AF2421BF |
Key | Value |
---|---|
FileSize | 130832092 |
MD5 | 6AA130C3AA02E5EAAD7F0540E8380DD1 |
PackageDescription | an 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. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | libcombblas-docs |
PackageSection | libdevel |
PackageVersion | 1.6.2-8 |
SHA-1 | E4C239542896E3353432F9BE55CE5CD7526BC04A |
SHA-256 | AA220A2D2C108A88B3776D0D8A55886DF5062F79636A06ADB87565EC0517A236 |