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DC poleHodnotaJazyk
dc.contributor.authorMartínez, Roel
dc.contributor.authorSzirmay-Kalos, László
dc.contributor.authorSbert, Mateu
dc.contributor.authorAbbas, Ali Mohamad
dc.contributor.editorSkala, Václav
dc.date.accessioned2015-09-21T05:29:12Z
dc.date.available2015-09-21T05:29:12Z
dc.date.issued2001
dc.identifier.citationJournal of WSCG. 2001, vol. 9, no. 1-3.en
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6980 (CD-ROM)
dc.identifier.issn1213-6964 (online)
dc.identifier.urihttp://hdl.handle.net/11025/15770
dc.identifier.urihttp://wscg.zcu.cz/wscg2001/WSCG2001_Program.htm
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesJournal of WSCGen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectglobální osvětlenícs
dc.subjectparalelní výpočtycs
dc.subjectMonte Carlocs
dc.subjectradiozitacs
dc.titleParallel implementation of stochastic iteration algorithmsen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThe paper examines the parallel implementation of iteration type global illumination algorithms. The steps of iteration depend on each other, thus their parallel implementation is not as straightforward as for random walks. This paper solves the interdependency problem by applying stochastic iteration. In this framework two fundamental questions are investigated: how many processors can be efficiently used in an algorithm and how often the processors should exchange their information. These questions are answered by a theoretical model and also by simulations.en
dc.subject.translatedglobal illuminationen
dc.subject.translatedparallel computingen
dc.subject.translatedMonte Carloen
dc.subject.translatedradiosityen
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Volume 9, number 1-3 (2001)

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