A Study of the Parallel Computation of the OVALS Ocean Data Assimilation System
Xiaoqian Zhu · Computer Engineering and Science · 2010
High performance computing is closely related to the development of numerical oceanic prediction. In order to enhance the in-time property of the OVALS,this paper focuses on the parallelism of the OVALS system. In the process of parallelizing the ASSIMI part,the Layer-First-Processor-Allocation algorithm is proposed and the parallel I/O and global communication operations are implemented based on the LFPA algorithm. In the process of parallelizing the ASSssh part,an irregular domain decomposition algorithm based on the pre-condition is designed and implemented,which makes the computation load balancing of the parallel OVALS system. The numerical experiment shows that the parallel OVALS system gains a 17.45 speedup when running with 36 processes.