A GPU-accelerated integral-equation solution for large-scale electromagnetic problems

Jian Guan, Su Yan, Jianming Jin

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

Abstract

The method of moments (MoM) has been developed and widely used for solving electromagnetic scattering and radiation problems. The major disadvantage of the MoM is that it has O(N2) computational and storage complexities, which result in a large memory requirement and a tremendous amount of computation time (J.-M. Jin, Theory and Computation of Electromagnetic Fields. Hoboken, New Jersey: Wiley, 2010). To alleviate these problems, a GPU-accelerated multilevel fast multipole algorithm (MLFMA) has been developed with a capability of solving one-million-unknown problems on four GPUs (J. Guan, S. Yan, and J.-M. Jin, IEEE Trans. Antennas Propag., vol. 60, pp. 3607-3616, June 2013). However, this parallelized algorithm requires substantially more GPU resources if the problem size increases further, which would result in a reduction of the computational efficiency because more data communications between CPU and GPU are required in the MLFMA. To overcome this problem, a 'compute on-the-fly' strategy is investigated in this work, with the objective to solve larger problems with limited GPU resources.

Original languageEnglish (US)
Title of host publication2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2014 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages1
ISBN (Electronic)9781479937462
DOIs
StatePublished - Nov 12 2014
Event2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2014 - Memphis, United States
Duration: Jul 6 2014Jul 11 2014

Publication series

Name2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2014 - Proceedings

Other

Other2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2014
CountryUnited States
CityMemphis
Period7/6/147/11/14

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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    Guan, J., Yan, S., & Jin, J. (2014). A GPU-accelerated integral-equation solution for large-scale electromagnetic problems. In 2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2014 - Proceedings [6955563] (2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2014 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/USNC-URSI.2014.6955563