• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2012, Vol. 34 ›› Issue (2): 87-92.

• 论文 • Previous Articles     Next Articles

HighPerformance Computing Environments for Ensemble Prediction

LIU Cancan,ZHANG Weimin,LUO Zhigang,REN Kaijun   

  1. (School of Computer Science,National University of Defense Technology,Changsha 410073,China)
  • Received:2010-01-28 Revised:2010-05-18 Online:2012-02-25 Published:2012-02-25

Abstract:

There is an urgent demand for High Performance Computing (HPC) resources to analyze and process huge data in ensemble prediction. It will improve the effect of the prediction result to provide effective resources and data management. With the huge data and high demand for HPCs, we provide a data management strategy based on meta data distillation and a resource management method based on virtual organization. Besides, the grid technology is used for data and resource sharing and management. As a result, a coordinated development environment is built for the meteorologists distributed all over the world and different organizations, which accelerates the development of meteorology as a result.

Key words: mesoscale weather events;ensemble prediction;high performance computing(HPC);grid computing;meta data