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Parallelization of a coupled wave-circulation model and its application

机译：耦合波环流模型的并行化及其应用

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摘要

Using the technique of Message Passing Interface, a parallelized version of a coupled wave-circulation model was set up. The tested model is a regional one for simulating the seas off China, which is comprised of 450,625 elements and 30 vertical sigma layers. The implementation efficiency was evaluated on two kinds of computers, the HP Integrity Superdome and SGI Altix 4700 multiprocessor. The numerical results show that the low-communication high-extra-computation scheme (LCHC) produces higher efficiency than the high-communication no-extra-computation scheme (HCNC) while the number of processors exceeds 24 for HP Integrity Superdome and eight for SGI Altix 4700, respectively. The experiments with both LCHC and HCNC scheme show super-linear speed-up when the number of processors is small. The model with the LCHC scheme is preferred as it achieves parallel efficiency in excess of 90% on the HP machines for all experiments with the number of processors no more than 100, while the efficiency decreases rapidly with the HCNC scheme after the number of processors increases to more than 24. Numerical results suggest that the parallelization of this coupled wave-circulation model is efficient and portable to a variety of parallel architectures.
机译：使用消息传递接口技术，建立了耦合波传播模型的并行版本。测试的模型是一个区域模型，用于模拟中国海域，由450,625个元素和30个垂直sigma层组成。在两种计算机（HP Integrity Superdome和SGI Altix 4700多处理器）上评估了实施效率。数值结果表明，低通信高计算量方案（LCHC）的效率要高于高通信无计算量方案（HCNC），而HP Integrity Superdome的处理器数量超过24，SGI的处理器数量超过8 Altix 4700分别。 LCHC和HCNC方案的实验均表明，当处理器数量较少时，超线性加速。首选LCHC方案的模型，因为在所有不超过100个处理器的实验中，HP机器上的并行效率都超过90％，而在处理器数量增加后，HCNC方案的效率迅速降低到超过24。数值结果表明，这种耦合波循环模型的并行化是高效的，并且可移植到各种并行体系结构中。

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  • 来源
    《Ocean Dynamics》 |2010年第2期|p.331-339|共9页
  • 作者

    Guansuo Wang; Fangli Qiao; Changshui Xia;

  • 作者单位

    The First Institute of Oceanography, State Oceanic Administration (SOA), Qingdao, China Key Laboratory of Marine Science and Numerical Modeling (MASNUM), SOA, Qingdao, China;

    The First Institute of Oceanography, State Oceanic Administration (SOA), Qingdao, China Key Laboratory of Marine Science and Numerical Modeling (MASNUM), SOA, Qingdao, China;

    The First Institute of Oceanography, State Oceanic Administration (SOA), Qingdao, China Key Laboratory of Marine Science and Numerical Modeling (MASNUM), SOA, Qingdao, China;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    MPI; SPMD; extra computation; communication;

    机译：MPI;SPMD;额外的计算;通讯;

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