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| Development of a hybrid parallel MCV-based high-order global shallow-water model | |
| Peng Zhang1,2; Chao Yang1,3; Chungang Chen4; Xingliang Li5; Xueshun Shen5; Feng Xiao6 | |
| 2017-01-19 | |
| Source | The Journal of Supercomputing
 |
| Volume | 73Issue:6Pages:2823–2842 |
| Keyword | Global Shallow-water Model Multi-moment Constrained Volume Method Cubed-sphere Intel Xeon Phi Parallel Scalability |
| Content Type | 期刊论文 |
| Version | 出版稿 |
| URI | http://ir.iscas.ac.cn/handle/311060/18911 |
| Collection | 并行软件与计算科学实验室 |
| Affiliation | 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 |
| Recommended Citation 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. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| Development-MCV.pdf（1325KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | Application Full Text | |
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