CAJ | 학술논문

海洋数值预报技术的发展与高性能计算密切相关.为提高OVALS海洋资料同化系统的时效性,本文实现了OVALS系统的并行化.在温盐资料同化模块并行化过程中,本文提出了层优先处理器划分算法,并研究了基于该算法的并行I/O、全局通讯等实现方法;在高度计资料同化模块并行化过程中,设计实现了基于预处理的非规则区域分解算法,较好地实现了OVALS并行计算负载平衡.数值实验表明,OVALS并行系统在36并行规模下取得了17.45的并行加速比.
해양수치예보기술적발전여고성능계산밀절상관.위제고OVALS해양자료동화계통적시효성,본문실현료OVALS계통적병행화.재온염자료동화모괴병행화과정중,본문제출료층우선처리기화분산법,병연구료기우해산법적병행I/O、전국통신등실현방법;재고도계자료동화모괴병행화과정중,설계실현료기우예처리적비규칙구역분해산법,교호지실현료OVALS병행계산부재평형.수치실험표명,OVALS병행계통재36병행규모하취득료17.45적병행가속비.
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 ASSLMI 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 de-signed and implemented, which makes the com-putation 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.