combblas 1.6.2-5 source package in Ubuntu
Changelog
combblas (1.6.2-5) unstable; urgency=medium
* use cmake with -Wno-dev in debian/tests to avoid developer
warnings (which are written to stderr, inducing test fail)
* Standards-Version: 4.4.1
-- Drew Parsons <email address hidden> Mon, 25 Nov 2019 11:05:08 +0800
Upload details
- Uploaded by:
- Debian Science Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Science Team
- Architectures:
- any all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| combblas_1.6.2-5.dsc | 2.2 KiB | f5b21faee371e532011649bff0900096eadb8406f7b604410ce7f2802a205685 |
| combblas_1.6.2.orig.tar.gz | 1.5 MiB | 2a35c725606f18d010c110c66814b6558dae26f6807ac01c843c788fdb5b3ca9 |
| combblas_1.6.2-5.debian.tar.xz | 32.2 MiB | 488ced0251eaf9e0bb4e733093a218cdb67a374ede92fdb1155162d15600e7e7 |
Available diffs
- diff from 1.6.2-4 to 1.6.2-5 (741 bytes)
No changes file available.
Binary packages built by this source
- libcombblas-dev: 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.
- libcombblas-docs: 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.
- libcombblas1.16.0: 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.
- libcombblas1.16.0-dbgsym: debug symbols for libcombblas1.16.0
