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dc.contributor.authorStrasser, Jonathanen_US
dc.contributor.authorPascucci, Valerioen_US
dc.contributor.authorMa, Kwan-Luien_US
dc.contributor.editorAlan Heirich and Bruno Raffin and Luis Paulo dos Santosen_US
dc.date.accessioned2014-01-26T16:30:52Z
dc.date.available2014-01-26T16:30:52Z
dc.date.issued2006en_US
dc.identifier.isbn3-905673-40-1en_US
dc.identifier.issn1727-348Xen_US
dc.identifier.urihttp://dx.doi.org/10.2312/EGPGV/EGPGV06/171-177en_US
dc.description.abstractThe capability to visualize large volume datasets has applications in a myriad of scientific fields. This paper presents a large data visualization solution in the form of distributed, multiresolution, progressive processing. This solution reduces the problem of rendering a large volume data into many simple and independent problems that can be straightforwardly distributed to multiple computers. By completely decoupling rendering and display with image caching, we are able to maintain a high level of interactivity during exploration of the data, which is key to obtaining insights into the data.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.2 [Computer Graphics]: Distributed/network graphics, remote systems; I.3.3 [Computer Graphics]: Picture/image generation; I.3.8 [Computer Graphics]: Applicationsen_US
dc.titleMulti-layered Image Caching for Distributed Rendering of Large Multiresolution Datasetsen_US
dc.description.seriesinformationEurographics Symposium on Parallel Graphics and Visualizationen_US


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