Development of a hybrid parallel MCV-based high-order global shallow-water model

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	Development of a hybrid parallel MCV-based high-order global shallow-water model
	Peng Zhang 1,2; Chao Yang 1,3; Chungang Chen 4; Xingliang Li 5; Xueshun Shen 5; Feng Xiao 6
刊名	The Journal of Supercomputing
	2017-01-19
卷号	73 期号:6 页码:2823–2842
关键词	Global shallow-water model Multi-moment constrained volume method Cubed-sphere Intel Xeon Phi Parallel scalability
内容类型	期刊论文
版本	出版稿
源URL	[http://ir.iscas.ac.cn/handle/311060/18911]
专题	软件研究所_并行计算实验室 _期刊论文
作者单位	1.Institute of Software, Chinese Academy of Sciences, Beijing, China 2.University of Chinese Academy of Sciences, Beijing, China 3.State Key Laboratory of Computer Science, Chinese Academy of Sciences, Beijing, China 4.School of Human Settlement and Civil Engineering, Xi’an Jiaotong University, Xi’an, China 5.Center of Numerical Weather Prediction, China Meteorological Administration, Beijing, China 6.Department of Mechanical Engineering, Tokyo Institute of Technology, Yokohama, Japan
推荐引用方式 GB/T 7714	Peng Zhang,Chao Yang,Chungang Chen,et al. Development of a hybrid parallel MCV-based high-order global shallow-water model[J]. The Journal of Supercomputing,2017,73(6):2823–2842.
APA	Peng Zhang,Chao Yang,Chungang Chen,Xingliang Li,Xueshun Shen,&Feng Xiao.(2017).Development of a hybrid parallel MCV-based high-order global shallow-water model.The Journal of Supercomputing,73(6),2823–2842.
MLA	Peng Zhang,et al."Development of a hybrid parallel MCV-based high-order global shallow-water model".The Journal of Supercomputing 73.6(2017):2823–2842.