Iterative Krylov Methods for Acoustic Problems on Graphics Processing Unit

摘要：

　　This paper deals with linear algebra operations on Graphics Processing Unit (GPU) with complex number arithmetic using double precision.An analysis of their uses within iterative Krylov methods is presented to solve acoustic problems.Numerical experiments performed on a set of acoustic matrices arising from the modelisation of acoustic phenomena inside a car compartment are collected,and outline the performance,robustness and effectiveness of our algorithms,with a speed-up up to 28x for dot product,9.8x for sparse matrix-vector product and solvers.

关键词： Linear algebra Iterative Krylov methods CSR matrix GPU CUDA Acoustic Helmholtz equation Parallel computing

作者: Abal-Kassim Cheik Ahamed Frédéric Magoulès

作者单位: CUDA Research Center & Applied Mathematics and Systems Laboratory Ecole Centrale Paris,France

会议类型: 国际会议

会议名称: The 13th International Symposium on Distributed Computing and Applications to Business,Engineering and Science(DCABES 2014)(第十三届分布式计算及其应用国际学术研讨会)

会议地点: 湖北咸宁

会议语种:英文

页码: 19-23

在线出版日期: 2014-11-24（万方平台首次上网日期，不代表论文的发表时间）