An Improved LBM Approach for Heterogeneous GPU-CPU Clusters

摘要：

Graphics Processing Units, originally developed for computer games, now provide computational power for scientific applications. And the usage of the hybrid parallel computing programming environment with MPI and CUDA technology to build the simple CPU+GPU-based stream processor cluster system become popular. The Lattice-Boltzmann method is a distribution-function based approach to numerical fluid mechanics. However, in most implementations for heterogeneous clusters, they didnt take into account the computing power of CPU and didnt optimize the communication well. In this paper, we analyze these methods adapted to the heterogeneous clusters, and propose an improved LBM approach for heterogeneous GPU-CPU clusters which is suitable for load balancing and heterogeneous computations on CPUs and GPUs.

关键词： Lattice Boltzmann Method MPI CUDA Hererogeneous clusters

作者: Cao Wei Wang Zhenghua Li Zongzhe Yao Lu Wang Yongxian

作者单位: College of Computer National University of Defense Technology Changsha, China College of Computer NationalUniversity of Defense Technology Changsha, China

会议类型: 国际会议

会议名称: 2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

会议地点: 上海

会议语种:英文

页码: 2108-2111

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）