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.
Palabras clave: Sparse matrix, Optimization, GPUs, Reordering, Performance
Publicación: Artículo
1624014933586
18 de junio de 2021
/research/publications/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. - Juan C. Pichel, Francisco F. Rivera, Marcos Fernández, Aurelio Rodríguez - 10.1016/j.micpro.2011.05.005
publications_es