An efficient parallel algorithm for the coupling of global climate models and regional climate models on a large-scale multi-core cluster
文献类型：期刊论文
| 作者 | Wang, Yuzhu1,2; Jiang, Jinrong3,4; Zhang, Junqiang5; He, Juanxiong6; Zhang, He6; Chi, Xuebin3; Yue, Tianxiang7 |
| 刊名 | Journal of supercomputing
 |
| 出版日期 | 2018-08-01 |
| 卷号 | 74期号:8页码:3999-4018 |
| 关键词 | High-performance computing Parallel algorithm Scalability Coupler Earth system model |
| ISSN号 | 0920-8542 |
| DOI | 10.1007/s11227-018-2406-6 |
| 通讯作者 | Wang, yuzhu(wangyz@cugb.edu.cn) ; Jiang, jinrong(jjr@sccas.cn) |
| 英文摘要 | 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. |
| WOS关键词 | SYSTEM MODEL ; ATMOSPHERE MODEL ; PERFORMANCE ; SIMULATION ; RESOLUTION ; TOOLKIT |
| WOS研究方向 | Computer Science ; Engineering |
| WOS类目 | Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic |
| 语种 | 英语 |
| WOS记录号 | WOS:000441875100029 |
| 出版者 | SPRINGER |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2374277 |
| 专题 | 计算机网络信息中心 |
| 通讯作者 | Wang, Yuzhu; Jiang, Jinrong |
| 作者单位 | 1.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 |
| 推荐引用方式 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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来源：计算机网络信息中心
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