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Kokkos/Qthreads Task-Parallel Approach to Linear Algebra Based Graph Analytics

HPEC(2016)

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摘要
The Graph BLAS effort to standardize a set of graph algorithms building blocks in terms of linear algebra primitives promises to deliver high performing graph algorithms and greatly impact the analysis of big data. However, there are challenges with this approach, which our data analytics miniapp miniTri exposes. In this paper, we improve upon a previously proposed taskparallel approach to linear algebra-based miniTri formulation, addressing these challenges and describing a Kokkos/Qthreads task-parallel implementation that performs as well or slightly better than the highly optimized, baseline OpenMP data-parallel implementation.
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关键词
Kokkos-Qthreads task-parallel approach,linear algebra based graph analytics,graph BLAS,graph algorithms building blocks,linear algebra primitives,high performing graph algorithms,Big Data analysis,data analytics miniapp,linear algebra-based miniTri
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