Coherent metropolis light transport on the GPU using speculative mutations

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dc.contributor.authorSchmidt, Martin
dc.contributor.authorLobachev, Oleg
dc.contributor.authorGuthe, Michael
dc.contributor.editorSkala, Václav
dc.date.accessioned2016-07-25T08:47:28Z
dc.date.available2016-07-25T08:47:28Z
dc.date.issued2016
dc.description.abstract-translatedThe Metropolis Light Transport algorithm generates physically based images with superior image quality than classical ray tracing. Although it is trivially parallelizable on GPUs by running N MLTs, the performance on current graphics hardware is below par. One of the main problems is the set of incoherent paths due to the independent Markov chains. Since each MLT generates full paths and mutates them sequentially, we construct totally incoherent rays which in negatively affects the performance on the GPU. By using a novel speculative variant of the Metropolis algorithm we increase the similarity of paths and achieve higher coherence. This decreases the computation time significantly. Further, we improve memory access by optimizing the data layout to better utilize coalesced access.en
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationJournal of WSCG. 2016, vol. 24, no. 1, p. 1-8.en
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6980 (CD-ROM)
dc.identifier.issn1213-6964 (on-line)
dc.identifier.urihttp://wscg.zcu.cz/WSCG2016/!_2016_Journal_WSCG-No-1.pdf
dc.identifier.urihttp://hdl.handle.net/11025/21640
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesJournal of WSCGen
dc.rights© Václav Skala - UNION Agencycs
dc.rights.accessopenAccessen
dc.subjectglobální osvětlenícs
dc.subjectparalelní algoritmuscs
dc.subjectMarkovův řetězeccs
dc.subjectMonte Carlocs
dc.subject.translatedglobal illuminationen
dc.subject.translatedparallel algorithmen
dc.subject.translatedMarkov chainen
dc.subject.translatedMonte Carloen
dc.titleCoherent metropolis light transport on the GPU using speculative mutationsen
dc.typečlánekcs
dc.typearticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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Volume 24, Number 1 (2016)