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Numerical simulation of an electromagnetic field by parallelized 3D AIBO-FDTD

机译:并行3D AIBO-FDTD对电磁场的数值模拟

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The finite-difference time-domain (FDTD) method is useful in solving three-dimensional (3D) electromagnetic problems. However it contains a numerical instability because it is a complete explicit method, and huge amounts of memory are required in the ease of 3D analysis. The implicit FDTD method called the Alternating Implicit Block Overlapped (AIBO)-FDTD method was proposed for two-dimensional (2D) electromagnetic analysis. In our study, the 3D AIBO-FDTD method is developed by the modification of the 2D method. This method is suitable for parallel processing since the computational domain can be effectively partitioned. This property is especially compatible with implementations using distributed-memory multiprocessor systems such as PC clusters, which provide a huge memory space that accommodates a large problem. Although this method seems numerically stable since the implicit scheme is included, our result shows that the numerical instability occurs when the time step exceeds Courant's stability condition. This condition is still more relaxed than the conventional FDTD method. Furthermore. we demonstrated that parallel processing is all effective technique for improving the performance of the 3D AIBO-FDTD method, while this method is slower than FDTD when it is run on one processor.
机译:时域有限差分(FDTD)方法可用于解决三维(3D)电磁问题。但是,它包含数值不稳定性,因为它是一种完整的显式方法,并且在进行3D分析时需要大量内存。针对二维(2D)电磁分析,提出了一种称为交替隐式块重叠(AIBO)-FDTD方法的隐式FDTD方法。在我们的研究中,通过对2D方法的修改来开发3D AIBO-FDTD方法。由于可以有效地划分计算域,因此该方法适用于并行处理。此属性尤其与使用分布式内存多处理器系统(例如PC群集)的实现兼容,该系统提供了巨大的内存空间,可以解决较大的问题。尽管由于包含了隐式方案,该方法在数值上似乎是稳定的,但我们的结果表明,当时间步长超过Courant的稳定性条件时,就会出现数值不稳定性。与传统的FDTD方法相比,此条件仍然更为宽松。此外。我们证明了并行处理是提高3D AIBO-FDTD方法性能的所有有效技术,而在一个处理器上运行时,此方法比FDTD慢。

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