Optimization of Sparse Matrix-Vector Multiplication Using Reordering Techniques on GPUs
It is well-known that reordering techniques applied to sparse matrices are common strategies to improve the performance of sparse matrix operations, and particularly, the sparse matrix vector multiplication (SpMV) on CPUs.
keywords: Sparse matrix, Optimization, GPUs, Reordering, Performance
Publication: Article
1624014933586
June 18, 2021
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It is well-known that reordering techniques applied to sparse matrices are common strategies to improve the performance of sparse matrix operations, and particularly, the sparse matrix vector multiplication (SpMV) on CPUs. - Juan C. Pichel, Francisco F. Rivera, Marcos Fernández, Aurelio Rodríguez - 10.1016/j.micpro.2011.05.005
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