Acceleration of the finite element method using hybrid OpenMP-CUDA

Huan Ting Meng, Bao Lin Nie, Jian Ming Jin, Steven Wong, Charles Macon

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

Abstract

Graphics processing units (GPUs) are efficient in accelerating algorithms that are highly parallelizable. This paper discusses various aspects of parallelizing the traditional finite element algorithm, whose communication-intensive nature makes it difficult to be parallelized in a straightforward manner, and proposes solutions to alleviate the acceleration bottlenecks. The examples show that decent speedup can still be achieved over OpenMP-enabled CPUs.

Original languageEnglish (US)
Title of host publication2014 IEEE Antennas and Propagation Society International Symposium(APSURSI)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1379-1380
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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