中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Development of a hybrid parallel MCV-based high-order global shallow-water model

文献类型:期刊论文

作者Peng Zhang1,2; Chao Yang1,3; Chungang Chen4; Xingliang Li5; Xueshun Shen5; Feng Xiao6
刊名The Journal of Supercomputing
出版日期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
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.

入库方式: OAI收割

来源:软件研究所

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