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Source: combblas
Priority: optional
Maintainer: Debian Science Maintainers <debiansciencemaintainers@lists.alioth.debian.org>
Uploaders: Drew Parsons <dparsons@debian.org>
BuildDepends: debhelpercompat (= 12),
cmake (>= 3.3),
doxygen,
graphviz,
mpidefaultdev
StandardsVersion: 4.4.1
Section: libs
Homepage: https://people.eecs.berkeley.edu/~aydin/CombBLAS/html/index.html
VcsBrowser: https://salsa.debian.org/scienceteam/combblas
VcsGit: https://salsa.debian.org/scienceteam/combblas.git
Package: libcombblasdev
Section: libdevel
Architecture: any
MultiArch: same
Depends: libcombblas1.16.0 (= ${binary:Version}), ${misc:Depends}
Suggests: libcombblasdocs
Description: an extensible parallel graph library for graph analytics
The Combinatorial BLAS (CombBLAS) is an extensible distributedmemory
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
coarsegrained parallelism.
 CombBLAS powers HipMCL, a highlyscalable 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: libcombblas1.16.0
Architecture: any
MultiArch: same
Depends: ${shlibs:Depends}, ${misc:Depends}
Description: an extensible parallel graph library for graph analytics
The Combinatorial BLAS (CombBLAS) is an extensible distributedmemory
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
coarsegrained parallelism.
 CombBLAS powers HipMCL, a highlyscalable 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: libcombblasdocs
Section: libdevel
Architecture: all
MultiArch: foreign
Depends: ${misc:Depends}
Recommends: libcombblasdev
Description: an extensible parallel graph library for graph analytics (docs)
The Combinatorial BLAS (CombBLAS) is an extensible distributedmemory
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
coarsegrained parallelism.
 CombBLAS powers HipMCL, a highlyscalable 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.
