libcombblas2.0.0t64
an extensible parallel graph library for graph analytics
Description
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.Upload more screenshots
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Homepage
https://people.eecs.berkeley.edu/~aydin/CombBLAS/html/index.html
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