Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Overlapping computation and communication of three-dimensional FDTD on a GPU cluster

Full metadata record
DC Field Value Language
dc.contributor.authorKim, Ki-Hwan-
dc.contributor.authorPark, Q-Han-
dc.date.accessioned2021-09-06T13:58:24Z-
dc.date.available2021-09-06T13:58:24Z-
dc.date.created2021-06-14-
dc.date.issued2012-11-
dc.identifier.issn0010-4655-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/107118-
dc.description.abstractLarge-scale electromagnetic field simulations using the FDTD (finite-difference time-domain) method require the use of CPU (graphics processing unit) clusters. However, the communication overhead caused by slow interconnections becomes a major performance bottleneck. In this paper, as a way to remove the bottleneck, we propose the 'kernel-split method' and the 'host-buffer method' which overlap computation and communication for the FDTD simulation on the CPU cluster. The host-buffer method in particular enables overlapping without any modifications to the update-kernels that are already in use. We also present theoretical formulas to predict the overlap threshold and the total throughput for each method. By using our overlap methods with 6 CPU nodes, we demonstrate that the total performance of 3D FDTD reaches 92% of a six-fold increase, which is the upper limit that would be reached if there were no communication overhead. (C) 2012 Elsevier B.V. All rights reserved.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherELSEVIER-
dc.subjectIMPLEMENTATION-
dc.titleOverlapping computation and communication of three-dimensional FDTD on a GPU cluster-
dc.typeArticle-
dc.contributor.affiliatedAuthorPark, Q-Han-
dc.identifier.doi10.1016/j.cpc.2012.06.003-
dc.identifier.scopusid2-s2.0-84864442871-
dc.identifier.wosid000308122000005-
dc.identifier.bibliographicCitationCOMPUTER PHYSICS COMMUNICATIONS, v.183, no.11, pp.2364 - 2369-
dc.relation.isPartOfCOMPUTER PHYSICS COMMUNICATIONS-
dc.citation.titleCOMPUTER PHYSICS COMMUNICATIONS-
dc.citation.volume183-
dc.citation.number11-
dc.citation.startPage2364-
dc.citation.endPage2369-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaPhysics-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.relation.journalWebOfScienceCategoryPhysics, Mathematical-
dc.subject.keywordPlusIMPLEMENTATION-
dc.subject.keywordAuthorFDTD-
dc.subject.keywordAuthorGPU cluster-
dc.subject.keywordAuthorCUDA-
dc.subject.keywordAuthorOpenCL-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Science > Department of Physics > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher PARK, Q Han photo

PARK, Q Han
이과대학 (물리학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE