Parallel Processing of Matrix Multiplication in a CPU and GPU Heterogeneous Environment
Satoshi Ohshima (The University of Electro-Communications)Kenji Kise (The University of Electro-Communications)
Takahiro Katagiri (The University of Electro-Communications)
Toshitsugu Yuba (The University of Electro-Communications)
Abstract:
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.
Keywords:
Numerical Methods (Linear algebra), Parallel and Distributed Computing, GPGPU
