Package: libcombblas-dev (1.6.2-8)

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.

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