A Multi-GPU Accelerated DGTD Method for Solving Electrically Large-Scale Problems

Authors

  • Ziang Shen College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
  • Lei Zhao School of Information and Control Engineering China University of Mining and Technology, Xuzhou 221116, China

DOI:

https://doi.org/10.13052/2025.ACES.J.401103

Keywords:

Discontinuous Galerkin time-domain (DGTD) method, multiple graphics processing units (multi-GPU)

Abstract

In this paper, we proposed a multiple graphics processing units (GPU) platform accelerated discontinuous Galerkin time-domain (DGTD) method for solving electrically large-scale problems. Rather than simply porting the code to a GPU, we proposed a cache optimization strategy tailored to the GPU architecture. Furthermore, by grouping and reordering the elements and employing asynchronous techniques, we achieve a linear speedup ratio when scaling across multiple GPUs. The numerical examples not only validate accuracy of the proposed method, but also demonstrate excellent performance, achieving up to 40 times speedup even compared to parallelism CPU implementations.

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Author Biographies

Ziang Shen, College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China

Ziang Shen received his bachelor’s degree in 2017 and his master’s degree in 2020. He is presently pursuing a Ph.D. degree. His research focuses on high-performance computational electromagnetics, specifically frequency-domain, time-domain, and high-frequency asymptotic algorithms.

Lei Zhao, School of Information and Control Engineering China University of Mining and Technology, Xuzhou 221116, China

Lei Zhao is a professor at China University of Mining and Technology, ACES Fellow, IEEE senior member, member of the Antenna Branch of the Chinese Institute of Electronics, and chairman of IEEE AP-S Chapter Xuzhou. His main research directions are RF microwave devices, new electromagnetic materials, vortex wave communications, and computational electromagnetics.

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Published

2025-11-30

How to Cite

[1]
Z. . Shen and L. . Zhao, “A Multi-GPU Accelerated DGTD Method for Solving Electrically Large-Scale Problems”, ACES Journal, vol. 40, no. 11, pp. 1073–1079, Nov. 2025.

Issue

2025: Vol 40 Iss 11

Section

General Submission

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