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	A scalable parallel algorithm for atmospheric general circulation models on a multi-core cluster
	Wang, Yuzhu1,2; Jiang, Jinrong2; Zhang, He3; Dong, Xiao3; Wang, Lizhe1,4; Ranjan, Rajiv5; Zomaya, Albert Y.6
刊名	Future generation computer systems-the international journal of escience
	2017-07-01
卷号	72页码:1-10
关键词	High performance computing Parallel algorithm Domain decomposition Atmospheric general circulation model
ISSN号	0167-739X
DOI	10.1016/j.future.2017.02.008
通讯作者	Jiang, jinrong(jjr@sccas.cn) ; Wang, lizhe(lizhe.wang@gmail.com)
英文摘要	High-performance computing of atmospheric general circulation models (agcms) has been receiving increasing attention in earth science research. however, when scaling to large-scale multi-core computing, the parallelization of an agcm which demands fast parallel computing for long-time integration or climate simulation becomes extremely challenging due to its inner complex numerical calculation. the previous institute of atmospheric physics of the chinese academy of sciences atmospheric general circulation model version 4.0 (iap agcm4.0) with one-dimensional domain decomposition can only run on dozens of cpu cores, so the paper proposes a two-dimensional domain decomposition parallel algorithm for it. in the parallel implementation of the iap agcm4.0, its dynamical core utilizes a hybrid form of latitude longitude decomposition and vertical direction/longitude circle direction decomposition. through experiments on a multi-core cluster, we confirmed that our algorithm is efficient and scalable. the parallel efficiency of the iap agcm4.0 can reach up to 50.88% on 512 cpu cores, and the iap agcm4.0 can be run long-term simulations for climate change research. (c) 2017 elsevier b.v. all rights reserved.
WOS关键词	MICROPHYSICS SCHEME ; CLOUD MICROPHYSICS ; FFT ALGORITHM ; CLIMATE ; WEATHER ; WRF ; IMPLEMENTATION ; RESOLUTION ; GPU ; PERFORMANCE
WOS研究方向	Computer Science
WOS类目	Computer Science, Theory & Methods
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000401219200001
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2374222
专题	计算机网络信息中心
通讯作者	Jiang, Jinrong; Wang, Lizhe
作者单位	1.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China 2.Chinese Acad Sci, Comp Network Informat Ctr, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Atmospher Phys, Int Ctr Climate & Environm Sci, Beijing, Peoples R China 4.China Univ Geosci, Sch Comp Sci, Wuhan, Peoples R China 5.Newcastle Univ, Sch Comp Sci, Newcastle Upon Tyne, Tyne & Wear, England 6.Univ Sydney, Sch Informat Technol, Sydney, NSW, Australia
推荐引用方式 GB/T 7714	Wang, Yuzhu,Jiang, Jinrong,Zhang, He,et al. A scalable parallel algorithm for atmospheric general circulation models on a multi-core cluster[J]. Future generation computer systems-the international journal of escience,2017,72:1-10.
APA	Wang, Yuzhu.,Jiang, Jinrong.,Zhang, He.,Dong, Xiao.,Wang, Lizhe.,...&Zomaya, Albert Y..(2017).A scalable parallel algorithm for atmospheric general circulation models on a multi-core cluster.Future generation computer systems-the international journal of escience,72,1-10.
MLA	Wang, Yuzhu,et al."A scalable parallel algorithm for atmospheric general circulation models on a multi-core cluster".Future generation computer systems-the international journal of escience 72(2017):1-10.

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