Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/28532
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dc.contributor.authorKOVAC, Thomas-
dc.contributor.authorHABER, Tom-
dc.contributor.authorVAN REETH, Frank-
dc.contributor.authorHENS, Niel-
dc.date.accessioned2019-06-26T11:34:05Z-
dc.date.available2019-06-26T11:34:05Z-
dc.date.issued2019-
dc.identifier.citationComputational Science – ICCS 2019. Lecture Notes in Computer Science, vol 11587, p. 450-456.-
dc.identifier.isbn9783030227432-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/1942/28532-
dc.description.abstractOrdinary differential equations are widely used for the mathematical modeling of complex systems in biology and statistics. Since the analysis of such models needs to be performed using numerical integration, many applications can be gravely limited by the computational cost. This paper present a general-purpose integrator that runs massively parallel on graphics processing units. By minimizing thread divergence and bundling similar tasks using linear regression, execution time can be reduced by 40–80% when compared to a naive GPU implementation. Compared to a 36-core CPU implementation, a 150 fold runtime improvement is measured.-
dc.language.isoen-
dc.publisherSPRINGER INTERNATIONAL PUBLISHING AG-
dc.relation.ispartofseriesLecture notes in computer science-
dc.rightsSpringer Nature Switzerland AG 2019-
dc.subject.otherPharmacometrics-
dc.subject.otherEpidemiology-
dc.subject.otherParallelism-
dc.subject.otherHigh-Performance Computing-
dc.subject.otherGraphics Processing Units-
dc.titleImproving ODE Integration on Graphics Processing Units by Reducing Thread Divergence-
dc.typeProceedings Paper-
local.bibliographicCitation.authorsRodrigues, João M. F.-
local.bibliographicCitation.authorsCardoso, Pedro J. S.-
local.bibliographicCitation.authorsMonteiro, Jânio-
local.bibliographicCitation.authorsLam, Roberto-
local.bibliographicCitation.authorsKrzhizhanovskaya, Valeria V.-
local.bibliographicCitation.authorsLees, Michael H.-
local.bibliographicCitation.authorsDongarra, Jack J.-
local.bibliographicCitation.authorsSloot, Peter M. A.-
local.bibliographicCitation.conferencedate12-14 June 2019-
local.bibliographicCitation.conferencenameInternational Conference on Computational Science-
local.bibliographicCitation.conferenceplaceFaro (Algarve), Portugal-
dc.identifier.epage456-
dc.identifier.spage450-
dc.identifier.volume11538-
local.bibliographicCitation.jcatC1-
local.publisher.placeGEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
local.relation.ispartofseriesnr11538-
local.bibliographicCitation.artnr353-
local.type.programmeVSC-
dc.identifier.doi10.1007/978-3-030-22744-9_35-
dc.identifier.isiWOS:000589293800035-
dc.identifier.eissn1611-3349-
local.provider.typeWeb of Science-
local.bibliographicCitation.btitleComputational Science – ICCS 2019 19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part III-
local.uhasselt.uhpubyes-
item.fulltextWith Fulltext-
item.contributorKOVAC, Thomas-
item.contributorHABER, Tom-
item.contributorVAN REETH, Frank-
item.contributorHENS, Niel-
item.accessRightsRestricted Access-
item.validationecoom 2021-
item.fullcitationKOVAC, Thomas; HABER, Tom; VAN REETH, Frank & HENS, Niel (2019) Improving ODE Integration on Graphics Processing Units by Reducing Thread Divergence. In: Computational Science – ICCS 2019. Lecture Notes in Computer Science, vol 11587, p. 450-456..-
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