A Heterogeneous CPU-GPU Implementation for Discrete Elements Simulation with Multiple GPUs

	A Heterogeneous CPU-GPU Implementation for Discrete Elements Simulation with Multiple GPUs
	Tian, Yuan1 ; Qi, Ji1 ; Lai, Junjie 2; Zhou, Qingguo 3; Yang, Lei1 ; IEEE
	2013
关键词	heterogeneous DEM GPU multi-GPU MPI
页码	547-+
英文摘要	To calculate the large number of particles in discrete elements simulation, a heterogeneous CPU-GPU implementation with multiple GPUs is developed. The implementation is achieved by combining two different parallel programming languages so that it can be assigned to a CPU-GPU cluster. The communication between nodes uses Massage Passing Interface (MPI) implementation for dynamic domain decomposition, particles re-mapping and data copying of overlapping areas. Other works are assigned to GPUs to obtain a high computational speed. The results of strong and weak scalability tests are analyzed for different number of GPUs. Last, the LAMMPS is used as CPU platform to compare with multi-GPU application for reflecting the superiority of using heterogeneous implementation.
会议录	2013 INTERNATIONAL JOINT CONFERENCE ON AWARENESS SCIENCE AND TECHNOLOGY & UBI-MEDIA COMPUTING (ICAST-UMEDIA)
会议录出版者	IEEE
会议录出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
语种	英语
资助项目	China National Natural Science Foundation[91026005]
WOS研究方向	Computer Science ; Engineering
WOS记录号	WOS:000349913600089
内容类型	会议论文
源URL	[http://119.78.100.186/handle/113462/57568]
专题	中国科学院近代物理研究所
通讯作者	Tian, Yuan
作者单位	1.Chinese Acad Sci, Inst Modern Phys, Dept Spallt Target, Beijing 100864, Peoples R China 2.nVIDIA Corp, Beijing, Peoples R China 3.Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou, Peoples R China
推荐引用方式 GB/T 7714	Tian, Yuan,Qi, Ji,Lai, Junjie,et al. A Heterogeneous CPU-GPU Implementation for Discrete Elements Simulation with Multiple GPUs[C]. 见:.