Implementation of Jacobi iterative method on graphics processor unit
Dept. of Comput. Sci., Zhengzhou Inf. Sci. & Technol. Inst., Zhengzhou, China
IEEE International Conference on Intelligent Computing and Intelligent Systems, 2009. ICIS 2009, p.324-327.
@conference{wang2009implementation,
title={Implementation of Jacobi iterative method on graphics processor unit},
author={Wang, T. and Yao, Y. and Han, L. and Zhang, D. and Zhang, Y.},
booktitle={Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on},
volume={3},
pages={324–327},
organization={IEEE}
}
CUDA is a new computing architecture introduced by NVIDIA Corporation, aiming at general purpose computation on GPU. The architecture has strong compute power in the compute-intensive applications and data-intensive applications, so in recent years, how the framework is applied to the scientific computing has become a hot research. The iterative method for solving systems of linear equations in engineering and scientific computing has a very far-ranging application. The algorithm provided with high computing intensity and parallelism is very suitable for CUDA architecture. In this paper, Jacobi iterative method is implemented on CUDA-enable GPU. The experimental results show that this iterative method can effectively make use of the CUDA-enable GPU computing power and achieve good performance.
April 15, 2011 by hgpu
