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dc.contributor.advisorAlim, Usman Raza
dc.contributor.authorHornbeck, Haysn
dc.date2018-11
dc.date.accessioned2018-10-02T18:42:51Z
dc.date.available2018-10-02T18:42:51Z
dc.date.issued2018-09-21
dc.identifier.citationHornbeck, H. (2018). Spatial Partitioning for Distributed Path-Tracing Workloads (Unpublished master's thesis). University of Calgary, Calgary, AB. doi:10.11575/PRISM/33077en_US
dc.identifier.urihttp://hdl.handle.net/1880/108724
dc.description.abstractThe literature on path tracing has rarely explored distributing workload using distinct spatial partitions. This thesis corrects that by describing seven algorithms which use Voronoi cells to partition scene data. They were tested by simulating their performance with real-world data, and fitting the results to a model of how such partitions should behave. Analysis shows that image-centric partitioning outperforms other algorithms, with a few exceptions, and restricting Voronoi centroid movement leads to more efficient algorithms. The restricted algorithms also demonstrate excellent scaling properties. Potential refinements are discussed, such as voxelization and locality, but the tested algorithms are worth further exploration. The details of an implementation are outlined, as well.en_US
dc.language.isoeng
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectpath tracing
dc.subjectrendering
dc.subjectDistributed Computing
dc.subjectVoronoi diagrams
dc.subjectout-of-core rendering
dc.subject.classificationComputer Scienceen_US
dc.titleSpatial Partitioning for Distributed Path-Tracing Workloads
dc.typemaster thesis
dc.publisher.facultyGraduate Studies
dc.publisher.facultyScience
dc.publisher.institutionUniversity of Calgaryen
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/33077
thesis.degree.nameMaster of Science
thesis.degree.nameMS
thesis.degree.nameMSc
thesis.degree.disciplineComputer Science
thesis.degree.grantorUniversity of Calgary
dc.contributor.committeememberGavrilova, Marina L.
dc.contributor.committeememberChan, Sonny
dc.publisher.placeCalgaryen
ucalgary.item.requestcopytrue


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University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.