Performance Evaluation of Sparse Matrix-Vector Multiplication Using GPU/MIC Cluster
Hiroshi Maeda, Daisuke Takahashi · 2015
Sparse matrix-vector multiplication (SpMV) is an important computational kernel for many applications such as scientific computing. To the best of our knowledge, while previous studies have reported CPU and GPU implementations of SpMV for a cluster and MIC implementations for a single node, implementations of SpMV for the MIC cluster have not yet been reported. In this paper, we implement and evaluate parallel SpMV on a GPU cluster and a MIC cluster.