A GPU Acceleration Method for Direct Solutions of Electric Field Integral Equations

Hao Zheng Lu, Lu Yi Liu, Amir Boag, Mei Song Tong*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The method of moments (MoM) as a traditional numerical method has been widely recognized and used in solving electromagnetic integral equations. As the scale of solved problems increases, the computational costs will rise significantly, often preventing it from a direct use. This necessitates the integration of acceleration techniques by either software or hardware. The hardware acceleration is mainly achieved through the central processing unit (CPU) or graphics processing unit (GPU). This paper proposes a GPU acceleration method for the direct solution of electric field integral equations (EFIEs) by the method of moments (MoM). Numerical examples show that the proposed method can be approximately 10 times faster than the acceleration of a state-of-art multicore CPU with an OpenMP parallelism.

Original languageEnglish
Title of host publication2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2569-2570
Number of pages2
ISBN (Electronic)9798350369908
DOIs
StatePublished - 2024
Event2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024 - Florence, Italy
Duration: 14 Jul 202419 Jul 2024

Publication series

NameIEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
ISSN (Print)1522-3965

Conference

Conference2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024
Country/TerritoryItaly
CityFlorence
Period14/07/2419/07/24

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