Acceleration of Hessenberg Reduction for Nonsymmetric Eigenvalue Problems in a Hybrid CPU-GPU Computing Environment

Abstract

Solution of large-scale dense nonsymmetric eigenvalue problem is required in many areas of scientific and engineering computing, such as vibration analysis of automobiles and analysis of electronic diffraction patterns. In this study, we focus on the Hessenberg reduction step and consider accelerating it in a hybrid CPU-GPU computing environment… (More)

Topics

8 Figures and Tables

Cite this paper

@article{Muramatsu2011AccelerationOH, title={Acceleration of Hessenberg Reduction for Nonsymmetric Eigenvalue Problems in a Hybrid CPU-GPU Computing Environment}, author={Jun-ichi Muramatsu and Takeshi Fukaya and Shao-Liang Zhang and Kinji Kimura and Yusaku Yamamoto}, journal={IJNC}, year={2011}, volume={1}, pages={132-143} }