combblas 2.0.0-3.1build3 source package in Ubuntu
Changelog
combblas (2.0.0-3.1build3) oracular; urgency=medium * No-change rebuild against mpi-defaults 1.17 -- Erich Eickmeyer <email address hidden> Wed, 31 Jul 2024 10:07:15 -0700
Upload details
- Uploaded by:
- Erich Eickmeyer
- Uploaded to:
- Oracular
- Original maintainer:
- Ubuntu Developers
- Architectures:
- any all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Oracular | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| combblas_2.0.0.orig.tar.gz | 41.7 MiB | 3f955db1c0ec351713d88affd37f3fbb70b3bb3970527c04ed9e507057156afe |
| combblas_2.0.0-3.1build3.debian.tar.xz | 32.2 MiB | e840f7cfeb110bfa47398155d7038a4c36ac38f6900a238664e23aeb49061f02 |
| combblas_2.0.0-3.1build3.dsc | 2.0 KiB | f38ac5a7c869ee75e794c4df0cfaf8b3b3217692532f442b1f60017366e173bd |
Available diffs
- diff from 2.0.0-3.1build2 to 2.0.0-3.1build3 (324 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: 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
