摘要
新一代全球/区域多尺度统一的同化与数值预报系统Global/Regional Assimilation and PreEdiction System(GRAPES)是中国气象局(China Meteorological Administration,CMA)自主研发的数值天气预报软件。随着对模式分辨率和预测时效性要求的提高,GRAPES的输入输出(I/O)性能成为了一个重要的瓶颈。分析了GRAPES区域模式的I/O行为,提出并设计实现了一个高性能I/O框架。该框架采用二进制编码以及多I/O通道技术实现了灵活可配置的输出方式。同时,通过非堵塞通信的方式实现了异步I/O,隐藏了I/O与通信的开销。工作在曙光"派"超级计算机上进行了测试,结果显示该框架不仅可以提高I/O性能达到10倍以上,也可以减少性能抖动带来的性能不确定性问题。
The new generation Global/Regional Assimilation and PreEdiction System(GRAPES)is a homegrown numerical weather prediction software developed by China Meteorological Administration(CMA).As the requirements for model resolution and prediction timeliness increase,the Input/Output(I/O)performance of GRAPES becomes a critical performance bottleneck.This paper performs a deep analysis of I/O behavior for the GRAPES regional model,and proposes,designs and implements a high-performance I/O framework.This framework achieves a flexible and configurable output method through binary encoding and multiple I/O channels.At the same time,asynchronous I/O is included by non-blocking communication,which hides the I/O and communication overhead.The framework has been tested on the Sugon Pai supercomputer,and the results show that the framework can not only improve I/O performance by up to over ten times but also reduce the performance uncertainty caused by performance jitter.
作者
杨斌
王敬宇
刘卫国
蔡蕙伊
于翡
邓莲堂
黄丽萍
Yang Bin;Wang Jingyu;Liu Weiguo;Cai Huiyi;Yu Fei;Deng Liantang;Huang Liping(School of Software,Shandong University,Jinan 250101,China;National Supercomputing Center in Wuxi,Wuxi 214072,China;National Research Center of Parallel Computer Engineering&Technology,Beijing 100086,China;Numerical Weather Prediction Center of CMA,Beijing 100081,China;State Key Laboratory of Severe Weather,Beijing 100081,China)
出处
《电子技术应用》
2022年第1期39-45,52,共8页
Application of Electronic Technique
基金
国家重点研发计划(2020YFB0204800)
无锡市太湖人才计划创新领军人才项目(融合人工智能技术的新一代精细化区域气候预测系统研制)。
