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- W3009867679 abstract "SuiteSparse:GraphBLAS is a complete implementation of the GraphBLAS standard. It provides a powerful and expressive framework for creating graph algorithms based on the elegant mathematics of sparse matrix operations on a semiring. Algorithms written with the GraphBLAS achieve high performance with minimal development time. Multithreaded parallelism through OpenMP provides additional speedup, which we illustrate on a 20-core Intel® Xeon® E5-2698 CPU system when solving various problems (triangle counting, k-truss, breadth-first search, Bellman-Ford, local clustering coefficient, and a sparse deep neural network problem). This wide variety of algorithms illustrates the expressiveness of the GraphBLAS API to create new graph algorithms. We present performance results with these algorithms on a set of large real-world graphs, using the newly developed Suite-Sparse:GraphBLAS v3.0.1." @default.
- W3009867679 created "2020-03-13" @default.
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- W3009867679 date "2020-01-01" @default.
- W3009867679 modified "2023-09-24" @default.
- W3009867679 title "Parallel GraphBLAS with OpenMP" @default.
- W3009867679 doi "https://doi.org/10.1137/1.9781611976229.14" @default.
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