combblas 1.6.2-7 source package in Ubuntu

Changelog

combblas (1.6.2-7) unstable; urgency=medium

  * combblas uses cmake to detect MPI, no need to specify mpicc as
    compiler and cross-compiling is simpler then. Closes: Bug#940664.
    - debian patch mpi_build.patch propagates cmake MPI configuration
      to subdirectories where it was missing. Thanks Helmut Grohne.
    - update debian/tests/ReleaseTests_CMakeLists.txt.patch to use
      cmake to find MPI (and OpenMP) for debian/tests (autopkgtest)
  * build tests for debian/tests (autopkgtest) with VERBOSE=1
  * Standards-Version: 4.6.0

 -- Drew Parsons <email address hidden>  Sun, 30 Jan 2022 12:58:19 +0100

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Uploaded by:
Debian Science Team
Uploaded to:
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Original maintainer:
Debian Science Team
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

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combblas_1.6.2-7.dsc 2.2 KiB 3471afdf89b6608eb23deac3477c709151b1ad410cfd66816c5500cbb156685d
combblas_1.6.2.orig.tar.gz 1.5 MiB 2a35c725606f18d010c110c66814b6558dae26f6807ac01c843c788fdb5b3ca9
combblas_1.6.2-7.debian.tar.xz 32.2 MiB ab34f4c3a5c5688ca7d01ba5c92dcfe58f54ed513ab71b2f2de782235fbf1740

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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.

libcombblas1.16.0: 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.

libcombblas1.16.0-dbgsym: debug symbols for libcombblas1.16.0