combblas 2.0.0-3.1 source package in Ubuntu
Changelog
combblas (2.0.0-3.1) unstable; urgency=medium * Non-maintainer upload. * Rename libraries for 64-bit time_t transition. Closes: #1061882 -- Steve Langasek <email address hidden> Wed, 28 Feb 2024 17:11:06 +0000
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_2.0.0-3.1.dsc | 2.3 KiB | 011506ef5d340d66220703d8c2f7a533716b6a6b6d182f80b8acdbe064554187 |
| combblas_2.0.0.orig.tar.gz | 41.7 MiB | 3f955db1c0ec351713d88affd37f3fbb70b3bb3970527c04ed9e507057156afe |
| combblas_2.0.0-3.1.debian.tar.xz | 32.2 MiB | 5c2778983d184bd2dcbc895d90d502e9269ab9616eb09c03d68a9c44b006bff2 |
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.
- libcombblas2.0.0t64: 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.
- libcombblas2.0.0t64-dbgsym: debug symbols for libcombblas2.0.0t64
