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DC poleHodnotaJazyk
dc.contributor.authorNotkin, Irena
dc.contributor.authorGotsman, Craig
dc.contributor.editorSkala, Václav
dc.date.accessioned2015-09-29T12:42:52Z
dc.date.available2015-09-29T12:42:52Z
dc.date.issued1995
dc.identifier.citationJournal of WSCG. 1995, vol. 3, no. 1-2, p. 218-227.en
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6980 (CD-ROM)
dc.identifier.issn1213-6964 (online)
dc.identifier.urihttp://wscg.zcu.cz/wscg1995/wscg95.htm
dc.identifier.urihttp://hdl.handle.net/11025/16041
dc.format10 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.subjectalgoritmuscs
dc.subjectsledování paprskucs
dc.titleParallel adaptive ray-tracingen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedWe describe a dynamic task allocation algorithm for ray-tracing by adaptive progressive refinement on a parallel computer. Parallelization of adaptive ray-tracing is difficult because of the inherent sequential nature of the sample location generation process, which is optimized (and different) for any given scene. We report on experimental results obtained from our implementation of this algorithm on a Meiko parallel computer. The three performance measures of the algorithm, namely, load-balance, speedup, and image quality, are shown to be good.en
dc.subject.translatedalgorithmen
dc.subject.translatedray tracingen
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Volume 3, number 1-2 (1995)

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