Load-Balanced Isosurfacing on Multi-GPU Clusters

dc.contributor.authorMartin, Stevenen_US
dc.contributor.authorShen, Han-Weien_US
dc.contributor.authorMcCormick, Patricken_US
dc.contributor.editorJames Ahrens and Kurt Debattista and Renato Pajarolaen_US
dc.date.accessioned2014-01-26T16:53:15Z
dc.date.available2014-01-26T16:53:15Z
dc.date.issued2010en_US
dc.description.abstractIsosurface extraction is a common technique applied in scientific visualization. Increasing sizes of volumes over which isosurfacing is to be applied combined with increasingly hierarchical parallel architectures present challenges for efficiently distributing isosurfacing work loads. We propose a technique that, with a modest amount of preprocessing, efficiently distributes isosurfacing load to GPU compute resources within a cluster. Load uniformity is maximized over a set of user-defined isovalues, enabling improved scalability over naive, non-data-centric, work distribution approaches.en_US
dc.description.seriesinformationEurographics Symposium on Parallel Graphics and Visualizationen_US
dc.identifier.isbn978-3-905674-21-7en_US
dc.identifier.issn1727-348Xen_US
dc.identifier.urihttps://doi.org/10.2312/EGPGV/EGPGV10/091-100en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.2 [Computer Graphics]: Distributed/network graphics-Isosurface generationen_US
dc.titleLoad-Balanced Isosurfacing on Multi-GPU Clustersen_US
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