combblas 1.6.2-6 source package in Ubuntu

Changelog

combblas (1.6.2-6) unstable; urgency=medium

  * debian patch AWPM_library_38dd27e.patch applies patch from
    guix 38dd27e to adjust AWPM headers for library use.
    Enables operation with other libraries such as SuperLU-Dist, see
    https://github.com/xiaoyeli/superlu_dist/issues/60
  * debian patch GraphGenlib_link_math.patch links GraphGenlib against
    libm (for sqrt,pow,log)
  * install CombBLAS cmake config files
  * debian/tests: run verbose ctest to report test failure details
  * debhelper compatibility level 13
    - mark usr/include/.DS_Store as not-installed
  * Standards-Version: 4.5.1

 -- Drew Parsons <email address hidden>  Mon, 11 Jan 2021 15:57:35 +1100

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

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File Size SHA-256 Checksum
combblas_1.6.2-6.dsc 2.2 KiB 8587d74e0e0c963da3eaa2b0fd4f319dc9dd7b61b15c4412b735932cf1033a77
combblas_1.6.2.orig.tar.gz 1.5 MiB 2a35c725606f18d010c110c66814b6558dae26f6807ac01c843c788fdb5b3ca9
combblas_1.6.2-6.debian.tar.xz 32.2 MiB c8e015c6c7050069a691d70ad2a306f42f96db4d5d9ca103531a73f1d9e9d255

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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: No summary available for libcombblas1.16.0-dbgsym in ubuntu hirsute.

No description available for libcombblas1.16.0-dbgsym in ubuntu hirsute.