期刊
JOURNAL OF SUPERCOMPUTING
卷 74, 期 8, 页码 3999-4018出版社
SPRINGER
DOI: 10.1007/s11227-018-2406-6
关键词
High-performance computing; Parallel algorithm; Scalability; Coupler; Earth system model
类别
资金
- National Natural Science Foundation of China [61602477]
- National Key Research and Development Program of China [2016YFB0200800]
- China Postdoctoral Science Foundation [2016M601158]
- Fundamental Research Funds for the Central Universities [2652017113]
- Open Research Project of the Hubei Key Laboratory of Intelligent Geo-Information Processing [KLIGIP-2017A04]
- Knowledge Innovation Program of the Chinese Academy of Sciences [XXH13504-03-02]
- Open Project Program of the State Key Laboratory of Mathematical Engineering and Advanced Computing
High-performance computing for climate models has always been an interesting research area. It is valuable to nest a regional climate model within a global climate model, but large-scale simulation of the nesting or coupling severely challenges to the development of efficient parallel algorithms that fit well into multi-core clusters. This paper first presents research on the coupling of the Institute of Atmospheric Physics of Chinese Academy of Sciences Atmospheric General Circulation Model version 4.0 and the Weather Research and Forecasting model, then proposes an efficient parallel algorithm of the coupling. The algorithm includes initialization of input data, decomposition of computing grid and processes, parallel computing of component models, and data exchange by a coupler. By calling some subroutines of the Model Coupling Toolkit, the parallelization of the proposed algorithm is implemented. Experiments show that the parallel algorithm is very effective and scalable. The parallel efficiency of the algorithm on 1,024 CPU cores can reach up to 70%. Moreover, its parallel efficiency with respect to weak scalability is 72.56% on a multi-core cluster.
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