Abstract:
Using cluster environment of shared memory multiprocessors, this paper studies parallel computing method processed by several high frequency real-time weather radars data. It presents two-stage parallel method which include a coarse grained message passing interface distributed memory and fine grained OpenMP shared memory hybrid programming, according to the single weather radar calculation characteristics and several radars mix processing method. Experimental results show that this method makes system radar data processing speed greatly enhanced.
Key words:
weather radar,
data processing,
speed-up ratio
摘要: 利用共享存储多处理器的集群环境,研究高频度实时多部天气雷达资料处理的并行计算方法,根据单部天气雷达的计算特点和多部雷达混合处理的方法,提出一种粗粒度消息传递接口分布式内存和细粒度OpenMP共享内存混合编程的2级并行方法。实验结果表明,该方法使系统资料处理速度得到较大提高。
关键词:
天气雷达,
资料处理,
加速比
CLC Number:
WANG Zhi-bin; CHEN Bo; WAN Yu-fa; WU Tao; LUO Bing; WO Wei-feng. Weather Radar Data Real-time Parallel Processing Method[J]. Computer Engineering, 2009, 35(23): 255-257.
王志斌;陈 波;万玉发;吴 涛;罗 兵;沃伟峰. 天气雷达资料实时并行处理方法[J]. 计算机工程, 2009, 35(23): 255-257.