气候变化领域集成服务门户(CCPortal): Enabling High-Performance Cloud Computing for Earth Science Modeling on Over a Thousand Cores: Application to the GEOS-Chem Atmospheric Chemistry Model

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DOI	10.1029/2020MS002064
	Enabling High-Performance Cloud Computing for Earth Science Modeling on Over a Thousand Cores: Application to the GEOS-Chem Atmospheric Chemistry Model
	Zhuang J.; Jacob D.J.; Lin H.; Lundgren E.W.; Yantosca R.M.; Gaya J.F.; Sulprizio M.P.; Eastham S.D.
发表日期	2020
ISSN	19422466
卷号	12 期号:5
英文摘要	Cloud computing platforms can facilitate the use of Earth science models by providing immediate access to fully configured software, massive computing power, and large input data sets. However, slow internode communication performance has previously discouraged the use of cloud platforms for massively parallel simulations. Here we show that recent advances in the network performance on the Amazon Web Services cloud enable efficient model simulations with over a thousand cores. The choices of Message Passing Interface library configuration and internode communication protocol are critical to this success. Application to the Goddard Earth Observing System (GEOS)-Chem global 3-D chemical transport model at 50-km horizontal resolution shows efficient scaling up to at least 1,152 cores, with performance and cost comparable to the National Aeronautics and Space Administration Pleiades supercomputing cluster. © 2020. The Authors.
英文关键词	cloud computing; Earth science modeling; high-performance computing
语种	英语
scopus关键词	Atmospheric chemistry; Cloud computing; Earth (planet); Earth sciences; Message passing; NASA; Simulation platform; Web services; Atmospheric chemistry model; Chemical transport models; Cloud computing platforms; Goddard earth observing systems; Horizontal resolution; Inter-node communication; Massively parallels; Message passing interface libraries; Three dimensional computer graphics; computer simulation; computer system; Earth science; EOS; model test; Pleiades; software; World Wide Web
来源期刊	Journal of Advances in Modeling Earth Systems
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156708
作者单位	School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, United States; Laboratory for Aviation and the Environment Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA, United States
推荐引用方式 GB/T 7714	Zhuang J.,Jacob D.J.,Lin H.,et al. Enabling High-Performance Cloud Computing for Earth Science Modeling on Over a Thousand Cores: Application to the GEOS-Chem Atmospheric Chemistry Model[J],2020,12(5).
APA	Zhuang J..,Jacob D.J..,Lin H..,Lundgren E.W..,Yantosca R.M..,...&Eastham S.D..(2020).Enabling High-Performance Cloud Computing for Earth Science Modeling on Over a Thousand Cores: Application to the GEOS-Chem Atmospheric Chemistry Model.Journal of Advances in Modeling Earth Systems,12(5).
MLA	Zhuang J.,et al."Enabling High-Performance Cloud Computing for Earth Science Modeling on Over a Thousand Cores: Application to the GEOS-Chem Atmospheric Chemistry Model".Journal of Advances in Modeling Earth Systems 12.5(2020).