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OVERLAPPING LOCALIZED EXPONENTIAL TIME DIFFERENCING METHODS FOR DIFFUSION PROBLEMS

机译:重叠的局部指数时间差异差异差异问题

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The localized exponential time differencing (ETD) based on overlapping domain decomposition has been recently introduced for extreme-scale phase field simulations of coarsening dynamics, which displays excellent parallel scalability in supercomputers. This paper serves as the first step toward building a solid mathematical foundation for this approach. We study the overlapping localized ETD schemes for a model time-dependent diffusion equation discretized in space by the standard central difference. Two methods are proposed and analyzed for solving the fully discrete localized ETD systems: the first one is based on Schwarz iteration applied at each time step and involves solving stationary problems in the subdomains at each iteration, while the second one is based on the Schwarz waveform relaxation algorithm in which time-dependent subdomain problems are solved at each iteration. The convergences of the associated iterative solutions to the corresponding fully discrete localized ETD solution and to the exact semidiscrete solution are rigorously proved. Numerical experiments are also carried out to confirm theoretical results and to compare the performance of the two methods.
机译:最近,基于重叠域分解的局部指数时间差异(ETD)用于粗略动态的极端级相位仿真,这在超级计算机上显示出优异的并行可扩展性。本文有助于为这种方法构建实体数学基础的第一步。我们研究了通过标准中心差异在空间中离散化的模型时间相关的扩散方程的重叠局部的ETD方案。提出并分析了两种方法来解决完全离散局部化ETD系统:第一个基于在每次步骤中应用的施瓦茨迭代,并且涉及在每个迭代的子域中解决静止问题,而第二个是基于Schwarz波形放松算法在每个迭代都解决了时间依赖子域问题。将相关的迭代解决方案与相应的完全离散局部ETD解决方案和精确的半晶态解决方案的收敛性经过严格证明。还进行了数值实验以确认理论结果并比较两种方法的性能。

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