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• W2009654791 abstract "Sparse matrix-vector multiplication (SpMV) is a fundamental building block for numerous applications. In this paper, we propose CSR5 (Compressed Sparse Row 5), a new storage format, which offers high-throughput SpMV on various platforms including CPUs, GPUs and Xeon Phi. First, the CSR5 format is insensitive to the sparsity structure of the input matrix. Thus the single format can support an SpMV algorithm that is efficient both for regular matrices and for irregular matrices. Furthermore, we show that the overhead of the format conversion from the CSR to the CSR5 can be as low as the cost of a few SpMV operations." @default.
• W2009654791 created "2016-06-24" @default.
• W2009654791 creator A5007385908 @default.
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• W2009654791 date "2015-06-08" @default.
• W2009654791 modified "2023-09-30" @default.
• W2009654791 title "CSR5" @default.
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• W2009654791 doi "https://doi.org/10.1145/2751205.2751209" @default.
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