Scaling Poisson Solvers on Many Cores via MMEwald

doi:10.1109/TPDS.2021.3127138

	Scaling Poisson Solvers on Many Cores via MMEwald
	Wu, Mingchuan 1,2; Wu, Yangjun 1,2; Shang, Honghui 1; Liu, Ying 1; Cui, Huimin 1,2; Li, Fang 3; Duan, Xiaohui 3,4; Zhang, Yunquan 1,2; Feng, Xiaobing 1,2
	2022-08-01
发表期刊	IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
ISSN	1045-9219
卷号	33 期号:8 页码:1888-1901
摘要	The Poisson solver for the calculation of the electrostatic potential is an essential primitive in quantum mechanics calculations. In this article, we adopt the Ewald method and propose a highly-optimized and scalable framework for Poisson solver, MMEwald, on the new generation Sunway supercomputer, capable of utilizing the collection of 390-core accelerators it uses. The MMEwald is based on a grid adapted cut-plane approach to partition the points into batches and distribute the batch to the processors. Furthermore, we propose a set of architecture-specific optimizations to efficiently utilize the memory bandwidth and computation capacity of the supercomputer. Experimental results demonstrate the efficiency of the MMEwald in providing strong and weak scaling performance.
关键词	Optimization Bandwidth Supercomputers Electric potential Boundary conditions Electrostatics Silicon Poisson solver architecture-specific optimizations many-core processor
DOI	10.1109/TPDS.2021.3127138
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[62090024] ; National Natural Science Foundation of China[61872043] ; National Natural Science Foundation of China[61802368] ; National Natural Science Foundation of China[22003073] ; State Key Laboratory of Computer Architecture Foundation[CARCH 4205] ; State Key Laboratory of Computer Architecture Foundation[CARCH 4411]
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号	WOS:000731145600001
出版者	IEEE COMPUTER SOC
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/18037
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Shang, Honghui; Liu, Ying
作者单位	1.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Natl Supercomp Ctr Wuxi, Wuxi 214072, Jiangsu, Peoples R China 4.Tsinghua Univ, Dept Comp Sci & Technol, Beijing 100084, Peoples R China
推荐引用方式 GB/T 7714	Wu, Mingchuan,Wu, Yangjun,Shang, Honghui,et al. Scaling Poisson Solvers on Many Cores via MMEwald[J]. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS,2022,33(8):1888-1901.
APA	Wu, Mingchuan.,Wu, Yangjun.,Shang, Honghui.,Liu, Ying.,Cui, Huimin.,...&Feng, Xiaobing.(2022).Scaling Poisson Solvers on Many Cores via MMEwald.IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS,33(8),1888-1901.
MLA	Wu, Mingchuan,et al."Scaling Poisson Solvers on Many Cores via MMEwald".IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 33.8(2022):1888-1901.