A preliminary evaluation of high-performance advanced regional eta-coordinate model(H-AREM)  

作　　者：CHENG Yu-Feng XU You-Ping LI Li-Juan WANG Bin CHENG Yu-Feng;XU You-Ping;LI Li-Juan;WANG Bin(The State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China;College of Earth Science, University of Chinese Academy of Sciences, Beijing, China; CpLA Troops;PLA Troops No.78127, Chengdu, China;Beijing Institute of Applied Meteorology, Beijing, China)

机构地区：[1]The State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China [2]College of Earth Science, University of Chinese Academy of Sciences, Beijing, China [3] CpLA Troops [3]PLA Troops No.78127, Chengdu, China [4]Beijing Institute of Applied Meteorology, Beijing, China

出　　处：《Atmospheric and Oceanic Science Letters》2017年第1期1-8,共8页大气和海洋科学快报（英文版）

基　　金：jointly supported by the National Basic Research Program of China(973 Program)[grant number 6131270305];the Ministry of Water Resources'special research grant for non-profit public service[grant number 201301062-02];the National Natural Science Foundation of China[grant number61572058];the Strategic Priority Research Program of the Chinese Academy of Sciences[grant number XDA05110304]

摘　　要：This paper preliminarily evaluates the speedup,scalability,and prediction skill of the highperformance advanced regional eta coordinate model（H-AREM）,which is based on several parallel processing methods and decomposition strategies.Results show that the parallel version of the model that is based on a modular parallel framework and a multidimensional domain decomposition strategy performs better overall,e.g.it is faster and more scalable than the version based on a message passing interface and a one-dimensional decomposition strategy.In particular,the scalability of the H-AREM with a resolution of 8 km approaches 8099 cores.Moreover,in the H-AREM,higher resolutions result in more realistic precipitation predictions without remarkable increases in simulation time.为验证高性能AREM模式(H-AREM)的并行性能,本文利用相同分辨率的AREM3.4P和H-AREM并行模式,比较了不同并行方法的影响;利用不同分辨率的H-AREM模式比较了不同剖分策略的影响。结果表明,基于并行框架的并行方法和二维剖分策略有利于并行性能的提升,HAREM在加速比和可扩展性方面都要优于原并行模式,特别是分辨率8 km的H-AREM模式能够扩展到8099核,在不显著增加计算时间的前提下具有更好的预报效果。

关 键 词：AREM parallel computation SPEED-UP SCALABILITY 

分 类 号：P456.7[天文地球—大气科学及气象学]