基于Python的并行编程技术在海洋数值预报批量二维绘图中的应用  

Application of parallel programming technology based on Python in ocean numerical prediction batch 2D drawing

作　　者：何锡玉 张志远 林士伟 HE Xi-yu;ZHANG Zhi-yuan;LIN Shi-wei(Unit No.91001 of PLA,Beijing 100161 China)

机构地区：[1]中国人民解放军91001部队

出　　处：《海洋预报》2019年第5期71-76,共6页Marine Forecasts

基　　金：国家重点研发计划项目（2017YFC1404005、2016YFB0201105)

摘　　要：针对海洋数值预报产品批量二维绘图占用时间较长的瓶颈问题,在对当前流行的数值模式产品绘图软件进行对比研究的基础上,利用Python语言多种库函数对海洋数值预报产品批量二维绘图进行高效并行优化处理,并对多进程编程方法在不同规模下的并行效率进行了测试分析。实验结果表明:此批量二维绘图方案高效稳定,可为数值模式产品批量二维绘图业务化运行提供有效技术支撑。This paper takes up the bottleneck problem that ocean numerical prediction product batch 2D drawing consumes long time, on the basis of comparative research of the numerical model of the current popular product drawing software, using the Python language variety of library functions to the ocean numerical prediction product batch 2D drawing for efficient parallel optimization, and the multi-process programming method under different scale analysis of the parallel efficiency is tested. The experimental results show that the proposed scheme is efficient and stable, and can provide effective technical support for the batch 2D drawing operation of numerical mode products.

关 键 词：PYTHON 海洋数值预报 批量二维绘图 并行优化 

分 类 号：P731[天文地球—海洋科学]