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An efficient parallel algorithm for the coupling of global climate models and regional climate models on a large-scale multi-core cluster
Wang, Yuzhu1,2; Jiang, Jinrong3,4; Zhang, Junqiang5; He, Juanxiong6; Zhang, He6; Chi, Xuebin3; Yue, Tianxiang7
2018-08-01
Source PublicationJOURNAL OF SUPERCOMPUTING
ISSN0920-8542
Volume74Issue:8Pages:3999-4018
Corresponding AuthorWang, Yuzhu(wangyz@cugb.edu.cn) ; Jiang, Jinrong(jjr@sccas.cn)
AbstractHigh-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.
KeywordHigh-performance computing Parallel algorithm Scalability Coupler Earth system model
DOI10.1007/s11227-018-2406-6
WOS KeywordSYSTEM MODEL ; ATMOSPHERE MODEL ; PERFORMANCE ; SIMULATION ; RESOLUTION ; TOOLKIT
Indexed BySCI
Language英语
Funding ProjectNational 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
Funding OrganizationNational Natural Science Foundation of China ; National Key Research and Development Program of China ; China Postdoctoral Science Foundation ; Fundamental Research Funds for the Central Universities ; Open Research Project of the Hubei Key Laboratory of Intelligent Geo-Information Processing ; Knowledge Innovation Program of the Chinese Academy of Sciences ; Open Project Program of the State Key Laboratory of Mathematical Engineering and Advanced Computing
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS IDWOS:000441875100029
PublisherSPRINGER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/54381
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWang, Yuzhu; Jiang, Jinrong
Affiliation1.China Univ Geosci, Sch Informat Engn, Beijing 100083, Peoples R China
2.China Univ Geosci, Hubei Key Lab Intelligent Geoinformat Proc, Wuhan 430074, Hubei, Peoples R China
3.Chinese Acad Sci, Comp Network Informat Ctr, Beijing 100190, Peoples R China
4.State Key Lab Math Engn & Adv Comp, Wuxi 214125, Peoples R China
5.China Univ Geosci, Sch Comp Sci, Wuhan 430074, Hubei, Peoples R China
6.Chinese Acad Sci, Inst Atmospher Phys, Beijing 100029, Peoples R China
7.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Wang, Yuzhu,Jiang, Jinrong,Zhang, Junqiang,et al. An efficient parallel algorithm for the coupling of global climate models and regional climate models on a large-scale multi-core cluster[J]. JOURNAL OF SUPERCOMPUTING,2018,74(8):3999-4018.
APA Wang, Yuzhu.,Jiang, Jinrong.,Zhang, Junqiang.,He, Juanxiong.,Zhang, He.,...&Yue, Tianxiang.(2018).An efficient parallel algorithm for the coupling of global climate models and regional climate models on a large-scale multi-core cluster.JOURNAL OF SUPERCOMPUTING,74(8),3999-4018.
MLA Wang, Yuzhu,et al."An efficient parallel algorithm for the coupling of global climate models and regional climate models on a large-scale multi-core cluster".JOURNAL OF SUPERCOMPUTING 74.8(2018):3999-4018.
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