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• W3137131725 abstract "We contribute to the optimization of the sparse matrix-vector product on graphics processing units by introducing a variant of the coordinate sparse matrix layout that compresses the integer representation of the matrix indices. In addition, we employ a look-ahead table to avoid the storage of repeated numerical values in the sparse matrix, yielding a more compact data representation that is easier to maintain in the cache. Our evaluation on the two most recent generations of NVIDIA GPUs, the V100 and the A100 architectures, shows considerable performance improvements over the kernels for the sparse matrix-vector product in cuSPARSE (CUDA 11.0.167)." @default.
• W3137131725 created "2021-03-29" @default.
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• W3137131725 date "2021-01-01" @default.
• W3137131725 modified "2023-10-16" @default.
• W3137131725 title "Balanced and Compressed Coordinate Layout for the Sparse Matrix-Vector Product on GPUs" @default.
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• W3137131725 doi "https://doi.org/10.1007/978-3-030-71593-9_7" @default.
• W3137131725 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7972772" @default.
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