A space-time domain decomposition method for high-fidelity electromagnetic simulation

Shu Wang, Zhen Peng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper addresses a growing need for space-time parallel simulation capability in electromagnetics (EM) applications. Currently time-dependent EM solvers are typically parallel only in space. The sequential-in-time nature of these solvers can achieve good parallel scaling when the number of spatial mesh points per core is large. But the parallel efficiency quickly deteriorates and even saturates if spatial parallelism has been fully exploited. We proposed a new time domain EM solver to harvest parallelism in both spatial and temporal dimension. The spatial parallelism is achieved by discontinuous Galerkin formulation, and the temporal parallelism is enabled by Krylov subspace method based exponential integrator. The improved parallel performance over space-only parallel time-domain solvers is validated by numerical examples.

Original languageEnglish (US)
Title of host publication2018 International Applied Computational Electromagnetics Society Symposium in Denver, ACES-Denver 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9780996007870
DOIs
StatePublished - May 23 2018
Externally publishedYes
Event2018 International Applied Computational Electromagnetics Society Symposium in Denver, ACES-Denver 2018 - Denver, United States
Duration: Mar 25 2018Mar 29 2018

Publication series

Name2018 International Applied Computational Electromagnetics Society Symposium in Denver, ACES-Denver 2018

Conference

Conference2018 International Applied Computational Electromagnetics Society Symposium in Denver, ACES-Denver 2018
Country/TerritoryUnited States
CityDenver
Period3/25/183/29/18

Keywords

  • Domain Decomposition
  • Krylov Subspace Method
  • Space-time Paralle

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computational Mathematics
  • Numerical Analysis
  • Instrumentation

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