combblas 1.6.2-5build1 source package in Ubuntu
Changelog
combblas (1.6.2-5build1) focal; urgency=medium * No-change rebuild for libgcc-s1 package name change. -- Matthias Klose <email address hidden> Tue, 24 Mar 2020 15:02:37 +0100
Upload details
- Uploaded by:
- Matthias Klose
- Uploaded to:
- Focal
- Original maintainer:
- Debian Science Team
- Architectures:
- any all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Focal | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| combblas_1.6.2.orig.tar.gz | 1.5 MiB | 2a35c725606f18d010c110c66814b6558dae26f6807ac01c843c788fdb5b3ca9 |
| combblas_1.6.2-5build1.debian.tar.xz | 32.2 MiB | 14e3158dc5f83474674eccfc232ba20b6d5ff006889de048459d8d328111a87c |
| combblas_1.6.2-5build1.dsc | 2.2 KiB | e5326830d3ee207f464a38096a99c45a589960d758069cf4731bcb69027c752e |
Available diffs
- diff from 1.6.2-5 (in Debian) to 1.6.2-5build1 (340 bytes)
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: No summary available for libcombblas-docs in ubuntu hirsute.
No description available for libcombblas-docs in ubuntu hirsute.
- 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
