GraphBLAS and GraphChallenge Advance Network Frontiers
Name
2022-10-03-SIAM News-GraphBLAS and GraphChallenge Advance Network Frontiers.pdf
Description
Updated article
Size
700.28 KB
Format
Adobe PDF
Checksum (MD5)
d81e3fc9534221e1ef2a258f2eb7c860
Author(s) • • • •
Kepner, Jeremy
Bader, David A.
Davis, Tim
Pearce, Roger
Wolf, Michael M.
Date Issued
November 9, 2022
Series/Report no.
SIAM News
Abstract
The challenges associated with graph algorithm scaling led multiple scientists to identify the need for an abstraction layer that would allow algorithm specialists to write high-performance, matrix-based graph algorithms that hardware specialists could then design to without having to manage the complexities of every type of graph algorithm. With this philosophy in mind, a number of researchers (including two Turing Award winners) came together and proposed the idea that “the state of the art in constructing a large collection of graph algorithms in terms of linear algebraic operations is mature enough to support the emergence of a standard set of primitive building blocks”
Subjects
Linear Algebra
Graph Algorithms
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Attribution-NoDerivs 3.0 United States
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