Image-space-parallel direct volume rendering on a cluster of PCs

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buir.contributor.authorAykanat, Cevdet
dc.citation.epage464en_US
dc.citation.spage457en_US
dc.citation.volumeNumber2869en_US
dc.contributor.authorCambazoglu, B. B.en_US
dc.contributor.authorAykanat, Cevdeten_US
dc.date.accessioned2016-02-08T10:28:08Z
dc.date.available2016-02-08T10:28:08Z
dc.date.issued2003en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.description.abstractAn image-space-parallel, ray-casting-based direct volume rendering algorithm is developed for rendering of unstructured data grids on distributed-memory parallel architectures. For efficiency in screen workload calculations, a graph-partitioning-based tetrahedral cell clustering technique is used. The main contribution of the work is at the proposed model, which formulates the screen partitioning problem as a hypergraph partitioning problem. It is experimentally verified on a PC cluster that, compared to the previously suggested jagged partitioning approach, the proposed approach results in both better load balancing in local rendering and less communication overhead in data migration phases. © Springer-Verlag Berlin Heidelberg 2003.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T10:28:08Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2003en
dc.identifier.doi10.1007/978-3-540-39737-3_57en_US
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttp://hdl.handle.net/11693/24360
dc.language.isoEnglishen_US
dc.publisherSpringeren_US
dc.relation.isversionofhttps://doi.org/10.1007/978-3-540-39737-3_57en_US
dc.source.titleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
dc.subjectCell Clusteren_US
dc.subjectUnstructured Griden_US
dc.subjectLoad Imbalanceen_US
dc.subjectDirect Volumeen_US
dc.subjectLocal Renderingen_US
dc.titleImage-space-parallel direct volume rendering on a cluster of PCsen_US
dc.typeArticleen_US

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