Impact of GPU memory access patterns on FDTD

Matthew Livesey, James F. Stack, Fumie Costen, Takeshi Nanri, Norimasa Nakashima, Seiji Fujino

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

2 Citations (Scopus)

Abstract

The application of General Purpose computing on a GPU is an effective way to accelerate the FDTD method. This work explores the different domain decomposition techniques from the literature and extends the theoretically best approach with additional flexibility. We examine the performance on both Tesla and Fermi architecture GPUs and identify the best way to determine the GPU parameters for the proposed method.

Original languageEnglish
Title of host publication2012 IEEE International Symposiumon Antennas and Propagation, APSURSI 2012 - Proceedings
DOIs
Publication statusPublished - Dec 10 2012
EventJoint 2012 IEEE International Symposium on Antennas and Propagation and USNC-URSI National Radio Science Meeting, APSURSI 2012 - Chicago, IL, United States
Duration: Jul 8 2012Jul 14 2012

Publication series

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

Other

OtherJoint 2012 IEEE International Symposium on Antennas and Propagation and USNC-URSI National Radio Science Meeting, APSURSI 2012
CountryUnited States
CityChicago, IL
Period7/8/127/14/12

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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    Livesey, M., Stack, J. F., Costen, F., Nanri, T., Nakashima, N., & Fujino, S. (2012). Impact of GPU memory access patterns on FDTD. In 2012 IEEE International Symposiumon Antennas and Propagation, APSURSI 2012 - Proceedings [6348987] (IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)). https://doi.org/10.1109/APS.2012.6348987