J4 ›› 2010, Vol. 32 ›› Issue (1): 113-116.doi: 10.3969/j.issn.1007130X.2010.
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Abstract:
High performance computing is closely related to the development of numerical oceanic prediction. In order to enhance the intime property of the OVALS, this paper focuses on the parallelism of the OVALS system. In the process of parallelizing the ASSIMI part, the LayerFirstProcessorAllocation 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 precondition 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.
Key words: OVALS, ocean data assimilation;parallel algorithm;processor allocation;irregular domain decomposition
CLC Number:
TP301
LEI Feng-Shun, SONG Jun-Jiang, SHU Xiao-Qian. A Study of the Parallel Computation of the OVALS Ocean Data Assimilation System[J]. J4, 2010, 32(1): 113-116.
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URL: http://joces.nudt.edu.cn/EN/10.3969/j.issn.1007130X.2010.
http://joces.nudt.edu.cn/EN/Y2010/V32/I1/113