基于数值海洋预报模型的SOR并行求解方法

Renbo Pang, Jianliang Xu, Yunquan Zhang
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引用次数: 2

摘要

逐次过松弛(SOR)算法是求解海洋数值预报模型中线性方程的重要方法,但不适合求解并行问题。本文采用红黑排序和避免通信代价的方法来实现SOR算法的并行性,提高算法的性能。实验表明,采用红黑排序和通信优化的并行SOR算法性能较高,但随着计算时间步长的增加,串行SOR算法与并行SOR算法之间的误差越来越大。针对海洋数值预报模型的特点,设计了一种四步并行SOR算法来解决误差问题。
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Parallel Solving Method of SOR Based on the Numerical Marine Forecasting Model
The successive over-relaxation (SOR) algorithm is an important method to solve the linear equations in the numerical marine forecasting model, but it is not appropriate for parallelism. In this paper, the red-black ordering and the method to avoid cost of communication are used to implement the parallelism of the SOR algorithm and improve the performance of it. The experiments show that the performance of the parallel SOR algorithm with the red-black ordering and communication optimization is high, but the errors between the serial SOR algorithm and the parallel SOR algorithm are bigger and bigger with the increase of computing time steps. Based on the characteristics of the numerical marine forecasting model, a four-step parallel SOR algorithm is designed to solve the error problem.
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