GPU and CPU-Based Parallel FDTD Methods for Frequency-Dependent Transmission Line Models

IF 0.9 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Letters on Electromagnetic Compatibility Practice and Applications Pub Date : 2022-07-15 DOI:10.1109/LEMCPA.2022.3191597

Manuja Gunawardana;Behzad Kordi

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引用次数: 1

Abstract

Finite-difference time-domain (FDTD) is a popular method utilized for solving frequency-dependent transmission line structures. It is also conveniently applicable to nonuniform wires. The FDTD algorithm discretizes the transmission line problem into a finite number of space-segments and solve for the voltage and current of each segment at every time-step. Therefore, they inherently involve more computations per timestep than conventional terminal based models. In this letter, parallel implementations of a modified FDTD algorithm for a frequency-dependent transmission line problem using multicore CPU and GPU architectures are proposed in order to increase its computational efficiency. Accuracy and performance of the parallel FDTD methods are discussed with examples. The results indicate that a speedup of a few folds compared to serial execution is achieved by the parallel implementation using multicore CPU architecture whereas a massive speedup is achieved by using GPU. The proposed model is also suitable for modelling transmission lines in massively parallel electromagnetic transient (EMT) simulation methods.

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基于GPU和CPU的频率相关传输线模型并行FDTD方法

时域有限差分法（FDTD）是一种常用的求解频率相关传输线结构的方法。它也方便地适用于不均匀的电线。FDTD算法将传输线问题离散为有限数量的空间段，并在每个时间步长求解每个段的电压和电流。因此，与传统的基于终端的模型相比，它们固有地每时间步长涉及更多的计算。在这封信中，为了提高计算效率，提出了使用多核CPU和GPU架构来并行实现用于频率相关传输线问题的改进FDTD算法。通过算例讨论了并行FDTD方法的精度和性能。结果表明，与串行执行相比，使用多核CPU架构的并行实现可以实现几倍的加速，而使用GPU可以实现巨大的加速。所提出的模型也适用于大规模并行电磁暂态（EMT）模拟方法中的输电线路建模。

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IEEE Letters on Electromagnetic Compatibility Practice and Applications

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