Parents (Total: 6)
The searched file hash is included in 6 parent files which include package known and seen by metalookup. A sample is included below:
| 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 |
| 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 |
| 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 | 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 |
| SHA-256 | 24CBEC3BC71612805223CFD49932975D76C4E823A3551488CDCB8E103A8EB564 |
| Key |
Value |
| FileSize | 157111108 |
| MD5 | 7BA7D5E9EFEDEB43D2003C9B3299BCD2 |
| 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 | 1.6.2-5build1 |
| SHA-1 | 6AFEFB33B02CD2286649B82D028589EA9DD2895B |
| SHA-256 | 5B56A5ECAF10523700DE333CFAE9A67C1D7DD74A4D77210FA54E0B7D00C82B38 |
| Key |
Value |
| FileSize | 141762948 |
| MD5 | 3ECBF763EC6968A32159323A74C47014 |
| 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 | 1.6.2-6 |
| SHA-1 | C8CDAACB1CAEEFD6A5D4C3D75E53F6759AA0669B |
| SHA-256 | A52874E0AD1D524CD79D16AD4A3C91D3BD0088DE9F56BEEE942323652B78234A |