| Key | Value |
|---|---|
| FileName | ./usr/share/doc/libcombblas-docs/html/graph500-1_82_2generator_2include_2graph500_2generator_2btrd__binomial__distribution_8h.html |
| FileSize | 7681 |
| MD5 | 3A897D4990061A0DB8224CD17BF2A362 |
| SHA-1 | 006729595E4C966700520734B350B2266EB32B86 |
| SHA-256 | 1E871C6E40B66A73897C9D73587F3015034F7AC58E52C88F57798256A9D744F9 |
| SSDEEP | 192:HDukDzKmHLWzc0TQwgbvwYR1OTSFBf7AiQrnTp8KnsGCB:jLDzpH2QfJ7AiQrHsB |
| TLSH | T192F1B535DCE6413B10F322C6F1B6FF25B4D48111D3064464B5FC9AABBB8AECAE91B119 |
| 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 | 3014160 |
| MD5 | F2AF3CBBB70D81E313F1A627EECC5144 |
| 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 | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | libcombblas-docs |
| PackageSection | libdevel |
| PackageVersion | 1.6.2-3 |
| SHA-1 | E49F9864A82A3D512DDFB90677EF0ABD2E1F8BA0 |
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| Key | Value |
|---|---|
| FileSize | 2241572 |
| MD5 | B6501023903A2CA9EAC25B15D1F0E37A |
| 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 | 1.6.2-3 |
| SHA-1 | D32759E12D219F2DE987702F7D0BC97BEE502933 |
| SHA-256 | 21411533BC01D320F4125F1D99A3C5B22AC3FC87933A88A13B09D109A1A9B96D |