Parents (Total: 28)
The searched file hash is included in 28 parent files which include package known and seen by metalookup. A sample is included below:
Key |
Value |
FileSize | 268932 |
MD5 | 607A3FC0A7F696E3DF1B0BA1F7D140EB |
PackageDescription | an extensible parallel graph library for graph analytics
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 the combblas shared library. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | libcombblas1.16.0 |
PackageSection | libs |
PackageVersion | 1.6.2-3 |
SHA-1 | 045145F90C46B6D59EB2EDADFD26330493F31E71 |
SHA-256 | E941817546D47210CAB752A07AAA1FB2C08CE49D94502572A65105B79DF9274D |
Key |
Value |
FileSize | 255612 |
MD5 | 309EE2F1AB36E747DB237AB178714D49 |
PackageDescription | an extensible parallel graph library for graph analytics
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 development files for building client
applications against combblas. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | libcombblas-dev |
PackageSection | libdevel |
PackageVersion | 1.6.2-3 |
SHA-1 | 0A41DBDCCDA8C9EF37306750BEA7314170509A29 |
SHA-256 | 601864DCC9F85AAED20F340B1662886F3C466A03A86573B627B0557EAF64176B |
Key |
Value |
FileSize | 269752 |
MD5 | 025D18129ABC9761086777DBF33FFE76 |
PackageDescription | an extensible parallel graph library for graph analytics
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 the combblas shared library. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | libcombblas1.16.0 |
PackageSection | libs |
PackageVersion | 1.6.2-3 |
SHA-1 | 1275FD8896FB9BAEFF0B6D32A302E0ACFF637CCB |
SHA-256 | 6D5DFB9535C5AC92D950A4383B7A614CFB63487B7597EAC977C45BDE84E019FF |
Key |
Value |
FileSize | 255636 |
MD5 | FAC4EEAB8A24F981CC7B7DE60E4F88D8 |
PackageDescription | an extensible parallel graph library for graph analytics
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 development files for building client
applications against combblas. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | libcombblas-dev |
PackageSection | libdevel |
PackageVersion | 1.6.2-3 |
SHA-1 | 14460EB83284470A108F2637CD6681C39DE4BD88 |
SHA-256 | 490EF15838EF8FD1CDD10D48790B72311A3D8094AF69C7714BAF77D2C66F5A01 |
Key |
Value |
FileSize | 281428 |
MD5 | D6056B5F38190FAEC6FB72FE2D9736CB |
PackageDescription | an extensible parallel graph library for graph analytics
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 the combblas shared library. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | libcombblas1.16.0 |
PackageSection | libs |
PackageVersion | 1.6.2-3 |
SHA-1 | 2E69245FB64B5B4EAA3A77CE73ABAF2A8AC0A07D |
SHA-256 | 6B32D419961F4712CF47603A8399D9CC50CD8E83546182FF610BF1C4B6278508 |
Key |
Value |
FileSize | 255616 |
MD5 | 5BD48E25E49ADEED7BC2111E15FA09A7 |
PackageDescription | an extensible parallel graph library for graph analytics
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 development files for building client
applications against combblas. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | libcombblas-dev |
PackageSection | libdevel |
PackageVersion | 1.6.2-3 |
SHA-1 | 3CE056E36CAB56360CA2373E7E5079F18BAF80F0 |
SHA-256 | EDD69A2E7ED3F4771DDA994CE25BEEDEA2349B65AA21BAA54D21444B02803F4F |
Key |
Value |
FileSize | 255636 |
MD5 | F48424479097C3B4BFE050FC38A1605C |
PackageDescription | an extensible parallel graph library for graph analytics
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 development files for building client
applications against combblas. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | libcombblas-dev |
PackageSection | libdevel |
PackageVersion | 1.6.2-3 |
SHA-1 | 5A827E3C152DB5A76CED3B69116E575B0770529C |
SHA-256 | 445B4F4EED2A3146B7EE473B5B43054A2FFB1F8052ACAA75C383482089215ABE |
Key |
Value |
FileSize | 254344 |
MD5 | D7C46AAB305C8D294EE6BD29B8529D23 |
PackageDescription | an extensible parallel graph library for graph analytics
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 the combblas shared library. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | libcombblas1.16.0 |
PackageSection | libs |
PackageVersion | 1.6.2-3 |
SHA-1 | 5C7F3242D77E308FEAE8E98520C2C261833A0095 |
SHA-256 | 962FAE8E030F90CFC588A03188EE59AAB9B03F838770281D1A6480AEAB501F9F |
Key |
Value |
FileSize | 282168 |
MD5 | A384D47BAF64D6E294268ABB6AB2F039 |
PackageDescription | an extensible parallel graph library for graph analytics
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 the combblas shared library. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | libcombblas1.16.0 |
PackageSection | libs |
PackageVersion | 1.6.2-3 |
SHA-1 | 703C61EF0C41DF4BA12BAC815BFE7075C7277386 |
SHA-256 | 86D929FB8D196CF3332ED9D632D586FF0B930205DA9E30B38A7260DD0DAA6F30 |
Key |
Value |
FileSize | 280172 |
MD5 | E16FA883770C964E3D296BC0A0192DE4 |
PackageDescription | an extensible parallel graph library for graph analytics
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 the combblas shared library. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | libcombblas1.16.0 |
PackageSection | libs |
PackageVersion | 1.6.2-3 |
SHA-1 | 7F5714A93D617A1900B5578D8DAAAA449AEF9838 |
SHA-256 | D17CD9E53381725ADF0058BF0A0B992F09B335D49D9B84E0E1FF572629C86B37 |