论文标题
用于FESOM 2海洋循环模型的瘫痪算法
The Parareal Algorithm Applied to the FESOM 2 Ocean Circulation Model
论文作者
论文摘要
在这项工作中,将平行算法瘫痪应用于Alfred-Wegener Institut(AWI)开发的海洋循环和Sea-Ice模型FESOM2。气候模型提供了一种时间整合方法,因此,粗略的传播器是由时间步宽定义的。粗制方法是在CFL条件限制下执行的,而逐渐完善的良好步骤尺寸。作为对Parareal的性能的首次评估,使用AWI提供的默认设置,使用了低分辨率测试网格。给出了FESOM2的简介和DKRZ群集对Parareal的直接实现。对不同仿真间隔和精细传播配置的数值结果的评估表明,对良好传播器的仿真时间和时间尺寸的依赖性很强。增加后者会导致瘫痪算法的停滞和最终发散。
In this work the parallel-in-time algorithm Parareal was applied to the ocean-circulation and sea-ice model FESOM2 developed by the Alfred-Wegener Institut (AWI). The climate model provides one time integration method and hence, the coarse and fine propagators were defined by time step width. The coarse method was executed at the CFL condition limit, while fine step-sizes where gradually refined. As a first assessment of the performance of Parareal a low-resolution test mesh was used with default settings provided by the AWI. An introduction to FESOM2 and the straightforward implementation of Parareal on the DKRZ cluster is given. The evaluation of numerical results for different simulation intervals and fine propagator configurations shows strong dependence on the simulation time and time step-size of the fine propagator. Increasing the latter leads to stagnation and eventually divergence of the Parareal algorithm.