Acceleration of the dual-field domain decomposition algorithm using GPU clusters

Huan Ting Meng, Jianming Jin

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

Abstract

The dual-field domain decomposition algorithm based on the element-level decomposition is accelerated using GPU clusters for electromagnetic analysis in the time domain. Various aspects of the implementation are investigated, and an optimal implementation strategy is proposed to utilize GPU's parallelized architecture. An example shows that through careful arrangement of the GPU memory and thread allocation, a significant speedup can be achieved on a GPU cluster.

Original languageEnglish (US)
Title of host publication2014 IEEE Antennas and Propagation Society International Symposium(APSURSI)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1381-1382
Number of pages2
ISBN (Electronic)9781479935406
DOIs
StatePublished - Sep 18 2014
Event2014 IEEE Antennas and Propagation Society International Symposium, APSURSI 2014 - Memphis, United States
Duration: Jul 6 2014Jul 11 2014

Publication series

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

Other

Other2014 IEEE Antennas and Propagation Society International Symposium, APSURSI 2014
CountryUnited States
CityMemphis
Period7/6/147/11/14

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Meng, H. T., & Jin, J. (2014). Acceleration of the dual-field domain decomposition algorithm using GPU clusters. In 2014 IEEE Antennas and Propagation Society International Symposium(APSURSI) (pp. 1381-1382). [6905016] (IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APS.2014.6905016