Visualization For Mass Data Of Spacc Weather

With the popularization of computer into more and more fields in the productionand life, the data generated by the computer is more and more complex and theamount of data is increasing all the time, so the processing of mass data graduallybecome the focus of today.The visualization technique has great effect on theunderstanding and research of massive data, in recent years, visualization techniquedevelopt rapidly, and visualization in scientific computing is one of the mostimportant, difficult and hot part of it.This article applied scientific visualization techniques to space weather areas, toachieve massive space weather data visualization. Firstly, improve and implement atraditional scientific visualization programs of space weather field to improvevisualization at targeted and improve software execution efficiency, provide a moreconvenient operation, and then based on the various deficiencies of today’svisualization propose two solutions:One is in-situ visualization based on MPI, theother is in-situ visualization based on ZeroMQ message queue.Parallel visualization based on MPI realizes the parallel of computation andvisualization, which improves the visualization efficiency.Visualization based on ZeroMQ realize the asynchronous communication ofcalculation and visualization, thus achieve the in-situ visualization of SIP-CESEmodel.Above all, Visualization based on ZeroMQ i is the highest,and the mostpractical.Finally, the paper analysis the work methods of the three visualization solutions,and get following conclusions: Improved traditional visualization solution is leastefficient, MPI-based in-situ visualization is better, and in-situ visualization based onZeroMQ is ideal and has maximum efficiency and is most practical.