GraphBLAS: Building Blocks For High Performance Graph Analytics
Berkeley Lab Researchers Contribute to GraphBLAS and Will Leverage it for Exascale Applications
After nearly five years of collaboration between researchers in academia, industry and national research laboratories—including Aydın Buluç, a scientist in Lawrence Berkeley National Laboratory's (Berkeley Lab's) Computational Research Division (CRD)—GraphBLAS, a collection of standardized building blocks for graph algorithms in the language of linear algebra, is publicly available.
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