Data Analyses and Parallel Optimization of the Regional Marine Ecological Model  

作　　者：Yanqiang Wang Jingjing Zheng Tianyu Zhang Peng Liang Bo Lin 

机构地区：[1]National Marine Environmental Forecasting Center,Beijing 100081,China [2]College of Oceanic and Atmospheric Sciences,Ocean University of China,Qingdao 266100,China [3]Key Laboratory of Climate,Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province,Guangdong Ocean University,Zhanjiang 54008,China [4]Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai),Zhuhai 519000,China

出　　处：《国际计算机前沿大会会议论文集》2023年第2期213-224,共12页International Conference of Pioneering Computer Scientists, Engineers and Educators（ICPCSEE）

基　　金：This research is supported by the National Natural Science Foundation of China(41976200);the project of Guangdong Ocean University(060302032106);Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)(SML2022SP301)。

摘　　要：Under the joint influence of high-intensity human activities and cli-mate change,the coastal ecological environment is deteriorating,and the ecologi-cal environment security and the sustainable development of the marine economy are seriously threatened.Therefore,it is of great significance to establish a high-resolution ecological environment operational forecasting system.To meet the run time requirements of the ecological operational forecasting system,a vari-ety of parallel optimization methods were proposed to improve the operation efficiency of the model.First,based on the National Marine Environmental Fore-casting Center’s Lenovo cluster,the ROMS benchmark experiment was expanded to the 4000 Processes scale.A good speedup was obtained by the experiment.The ROMS model was analysed with strong scalability.Second,in the hydrodynamic-ecological simulation experiment of the Bohai Sea-Yellow Sea-East China Sea,by optimizing Vector,InfiniBand,and Parallel I/O,the performance of the model can be improved by 270%while maintaining the same computing resources.That computing resources were more reasonably used lay the foundation for the operational forecast.

关 键 词：marine ecological model ROMS high-performance computing parallel optimization 

分 类 号：P73[天文地球—海洋科学]