Implementation of Jacobi Iterative method on Graphics Processor Unit
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 farranging 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.
CUDA GPU Systems of Linear Equations Jacobi Iterative method
Tao Wang Yuan Yao Lin Han Dan Zhang Yuanyuan Zhang
Department of Computer Science Zhengzhou Information Science and Technology Institute Zhengzhou,China
国际会议
上海
英文
2139-2142
2009-11-20（万方平台首次上网日期，不代表论文的发表时间）