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Published in 2022 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2022.3177291
Abstract: The Sparse Matrix-Vector Multiplication (SpMV) kernel is used in a broad class of linear algebra computations. SpMV computations result in a performance bottleneck in many high performance applications, so optimizing SpMV performance is paramount. While…
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Keywords:
sparse format;
gpu memory;
efficient gpu;
vcsr efficient ... See more keywords