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Parallel Waveform Relaxation and Matrix Solution for Large PEEC Model Problems

机译:大平体模型问题的平行波形松弛和矩阵解决方案

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Excessive compute time is becoming a key problem for high performance system modeling as the complexity of the electromagnetic and circuit models is increasing. At the same time the PEEC models are locally becoming more complex with the increased importance of dielectric and skin-effect losses. In this paper, we consider a combined approach where waveform relaxation is used for the predominant weak coupling while a Gaussian matrix solver is used for the parallelization of the strongly coupled parts of the EM/Ckt solver.
机译:随着电磁和电路模型的复杂性增加,高性能系统建模的关键问题是一个关键问题。与此同时,PEEC模型在局部变得更加复杂,介电和皮肤效应损失的重要性增加。在本文中,我们考虑了一种组合方法,其中波形弛豫用于主要弱耦合,而高斯矩阵求解器用于EM / CKT求解器的强耦合部分的并行化。

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