Source: combblas
Priority: optional
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Drew Parsons <dparsons@debian.org>
Build-Depends: debhelper-compat (= 13),
 cmake (>= 3.3),
 doxygen,
 graphviz,
 mpi-default-dev
Standards-Version: 4.5.1
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: libcombblas1.16.0 (= ${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: libcombblas1.16.0
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.