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Source: combblas
Priority: optional
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Drew Parsons <dparsons@debian.org>
Build-Depends: dpkg-dev (>= 1.22.5), debhelper-compat (= 13),
cmake (>= 3.3),
mpi-default-dev (>= 1.17)
Build-Depends-Indep: doxygen,
graphviz
Standards-Version: 4.7.2
Section: libs
Homepage: https://people.eecs.berkeley.edu/~aydin/CombBLAS/html/index.html
Vcs-Browser: https://salsa.debian.org/science-team/combblas
Vcs-Git: https://salsa.debian.org/science-team/combblas.git
Package: libcombblas-dev
Section: libdevel
Architecture: any
Multi-Arch: same
Depends: libcombblas2.0.0t64 (= ${binary:Version}), ${misc:Depends}
Suggests: libcombblas-docs
Description: 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.
Package: libcombblas2.0.0t64
Provides: ${t64:Provides}
Replaces: libcombblas2.0.0
Breaks: libcombblas2.0.0 (<< ${source:Version})
Architecture: any
Multi-Arch: same
Depends: ${shlibs:Depends}, ${misc:Depends}
Description: 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.
Package: libcombblas-docs
Section: libdevel
Architecture: all
Multi-Arch: foreign
Depends: ${misc:Depends}
Recommends: libcombblas-dev
Description: 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.
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