Efficient sparse-matrix multi-vector product on GPUs

Published: Jun 11, 2018
Abstract
Sparse Matrix-Vector (SpMV) and Sparse Matrix-Multivector (SpMM) products are key kernels for computational science and data science. While GPUs offer significantly higher peak performance and memory bandwidth than multicore CPUs, achieving high performance on sparse computations on GPUs is very challenging. A tremendous amount of recent research has focused on various GPU implementations of the SpMV kernel. But the multi-vector SpMM kernel has...
Paper Details
Title
Efficient sparse-matrix multi-vector product on GPUs
Published Date
Jun 11, 2018
Journal
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