Distributed Parallelization of a Global Atmospheric Data Objective Analysis System

作     者：赵军 宋君强 李振军 

作者机构：College of Computer Science National University of Defense Technology Changsha 410073 Meteorological Center of AirforceBeijing100843 

出 版 物：《Advances in Atmospheric Sciences》 (大气科学进展（英文版）)

年 卷 期：2003年第20卷第1期

页      面：159-163页

核心收录：

学科分类：07[理学] 070601[理学-气象学] 0706[理学-大气科学] 

主　　题：distributed parailelization analysis box data distribution objective analysis 

摘      要：It is difficult to parallelize a subsistent sequential algorithm. Through analyzing the sequential algorithm of a Global Atmospheric Data Objective Analysis System, this article puts forward a distributed parallel algorithm that statically distributes data on a massively parallel processing (MPP) computer. The algorithm realizes distributed parailelization by extracting the analysis boxes and model grid point Iatitude rows with leaped steps, and by distributing the data to different processors. The parallel algorithm achieves good load balancing, high parallel efficiency, and low parallel cost. Performance experiments on a MPP computer arc also presented.