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