LAGraph: Linear Algebra, Network Analysis Libraries, and the Study of Graph Algorithms

Gábor Szárnyas,David A. Bader,Timothy A. Davis,James Kitchen,Timothy G. Mattson,Scott McMillan,Erik Welch

2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)（2021）

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摘要

Graph algorithms can be expressed in terms of linear algebra. GraphBLAS is a library of low-level building blocks for such algorithms that targets algorithm developers. LAGraph builds on top of the GraphBLAS to target users of graph algorithms with high-level algorithms common in network analysis. In this paper, we describe the first release of the LAGraph library, the design decisions behind the ...

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关键词

Distributed processing,Data analysis,Conferences,Linear algebra,Benchmark testing,Libraries

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