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Parallel Processing of Matrix Multiplication in a CPU and GPU Heterogeneous Environment

Satoshi Ohshima, Kenji Kise, Takahiro Katagiri, Toshitsugu Yuba
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.

@article{ohshima2007parallel,

   title={Parallel processing of matrix multiplication in a CPU and GPU heterogeneous environment},

   author={Ohshima, S. and Kise, K. and Katagiri, T. and Yuba, T.},

   journal={High Performance Computing for Computational Science-VECPAR 2006},

   pages={305–318},

   year={2007},

   publisher={Springer}

}

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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.
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