As coastal circulation models have evolved to predict storm-induced flooding, they must include progressively more overland regions that are normally dry, to where now it is possible for more than half of the domain to be needed in none or only some of the computations. While this evolution has improved real-time forecasting and long-term mitigation of coastal flooding, it poses a problem for parallelization in an HPC environment, especially for static paradigms in which the workload is balanced only at the start of the simulation. In this study, a dynamic rebalancing of computational work is developed for a finite-element-based, shallow-water, ocean circulation model of extensive overland flooding. The implementation has a low overhead cost, and we demonstrate a realistic hurricane-forced coastal flooding simulation can achieve peak speed-ups near 45% over the static case, thus operating now at ₈₀₋₉₀% efficiency.

随着沿海环流模型已经发展到可以预测暴风雨引发的洪水，它们必须逐渐包含更多通常是干旱的陆上区域，到现在，可能只需要进行一些计算就不需要一半以上的区域。尽管这种改进改进了对沿海洪水的实时预测和长期缓解，但它对HPC环境中的并行化提出了问题，尤其是对于静态范式，其中仅在仿真开始时就平衡了工作量。在这项研究中，开发了一种动态的计算工作平衡，用于基于有限元素的浅水大范围陆上洪水泛滥的海洋环流模型。该实现的开销成本很低，_80-90％效率。