Parallel Processing of Matrix Multiplication in a CPU and GPU Heterogeneous Environment
Graduate School of Information Systems, The University of Electro-Communications, 1-5-1, Chofugaoka, Chofu-shi, Tokyo, Japan
High Performance Computing for Computational Science – VECPAR 2006 (2007), pp. 305-318.
GPUs for numerical computations are becoming an attractive alternative in research. In this paper, we propose a new parallel processing environment for matrix multiplications by using both CPUs and GPUs. The execution time of matrix multiplications can be decreased to 40.1% by our method, compared with using the fastest of either CPU only case or GPU only case. Our method performs well when matrix sizes are large.
October 29, 2010 by hgpu
