摘要
针对卫星云导风反演算法规模大、计算密集、耗时长,常规云导风反演串行算法效率低的问题,根据云导风反演中各风矢计算相对独立的特征,提出一种基于OpenMP框架的云导风反演并行算法.通过对多组云图数据在多核CPU上反演结果进行分析表明,该算法显著提高了云导风反演的效率.
In view of the satellite cloud drift winds inversion has the characteristics of large scale,intensive computing and time-consuming,conventional cloud drift winds serial inversion algorithm is very difficult to break through the bottleneck of efficiency.According to the characteristics of relatively independence between each wind vector calculation,we put forward a parallel inversion algorithm based on the OpenMP framework.Through the analysis of the inversion results of the multi group cloud data in the multi core CPU,the results show that the proposed algorithm can significantly improve the inversion efficiency of cloud.
出处
《吉林大学学报（理学版）》
CAS
CSCD
北大核心
2016年第3期539-546,共8页
Journal of Jilin University:Science Edition
基金
国家自然科学基金(批准号:61272208)
中央高校基本科研业务费专项基金(批准号:JCKY-QKJC47
JCKY-QKJC49)
吉林省教育厅"十三五"科学技术研究项目(批准号:吉教科合字[2016]第432号)
关键词
相关系数法
云导风
OPENMP
并行
风矢
correlation coefficient method
cloud drift wind
OpenMP
parallel
cloud vector
