中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A distributed load balancing algorithm for climate big data processing over a multi-core CPU cluster

文献类型:期刊论文

作者Wang, Yuzhu1; Jiang, Jinrong1; Ye, Huang1; He, Juanxiong1
刊名CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
出版日期2016
卷号28期号:15页码:4144-4160
关键词TERRESTRIAL ECOSYSTEMS TROPOSPHERIC OZONE RANDOM FORESTS CLIMATE MODEL PRECIPITATION BIOSPHERE PATTERNS BIOMASS AFRICA
通讯作者Wang, YZ (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China.
英文摘要Load imbalance is a common problem to be tackled urgently in large scale data-driven simulation systems or data intensive computing. According to the coupler, the Chinese Academy of Sciences-Earth System Model (CAS-ESM) implements one-way nesting of the Institute of Atmospheric Physics of Chinese Academy of Sciences Atmospheric General Circulation Model version 4.0 (IAP AGCM4.0) and Weather Research and Forecasting model (WRF). The METGRID (meteorological grid) and REAL program modules in the WRF are used to process meteorological data. In the CAS-ESM, the load of the METGRID module is seriously unbalanced on many CPU cores. The load imbalance has a serious impact on the processing speed of meteorological data, so this study designs an optimization algorithm to solve the problem. Numerical experiments show that compared to before optimization, the optimization algorithm can solve the load imbalance of the METGRID, and the computation speed of the METGRID and REAL modules after optimization on 64 CPU cores is about 7.2 times faster than before. Meanwhile, the whole computation speed of the CAS-ESM can improve by 217.53%. In addition, results indicate that they also can reach to a similar speedup on different numbers of CPU cores. Copyright (C) 2016 John Wiley & Sons, Ltd.
学科主题Computer Science
类目[WOS]Computer Science, Software Engineering ; Computer Science, Theory & Methods
收录类别SCI
语种英语
WOS记录号WOS:000385858000014
源URL[http://ir.radi.ac.cn/handle/183411/39373]  
专题遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位1.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China
2.Chinese Acad Sci, Comp Network Informat Ctr, Beijing, Peoples R China
3.Chinese Acad Sci, Inst Atmospher Phys, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Wang, Yuzhu,Jiang, Jinrong,Ye, Huang,et al. A distributed load balancing algorithm for climate big data processing over a multi-core CPU cluster[J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,2016,28(15):4144-4160.
APA Wang, Yuzhu,Jiang, Jinrong,Ye, Huang,&He, Juanxiong.(2016).A distributed load balancing algorithm for climate big data processing over a multi-core CPU cluster.CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,28(15),4144-4160.
MLA Wang, Yuzhu,et al."A distributed load balancing algorithm for climate big data processing over a multi-core CPU cluster".CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 28.15(2016):4144-4160.

入库方式: OAI收割

来源:遥感与数字地球研究所

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