Hiroki Yoshizawa

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Performance of sparse matrix-vector multiplication (SpMV) on GPUs is highly dependent on the structure of the sparse matrix used in the computation, the computing environment, and the selection of certain parameters. In this paper, we show that the performance achieved using kernel SpMV on GPUs for the compressed row storage (CRS) format depends greatly on(More)
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