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Exploration and Visualization of Very Large Datasets with the Active Data Repository

dc.contributor.authorKurc, Tahsinen_US
dc.contributor.authorCatalyurek, Umit
dc.contributor.authorChang, Chialin
dc.contributor.authorSussman, Alan
dc.contributor.authorSaltz, Joel
dc.date.accessioned2004-05-31T23:08:41Z
dc.date.available2004-05-31T23:08:41Z
dc.date.created2001-01en_US
dc.date.issued2001-01-24en_US
dc.identifier.urihttp://hdl.handle.net/1903/1115
dc.description.abstractThe analysis and exploration of scientific datasets is a challenging and increasingly important part of scientific research. Visualization is a powerful analysis tool that converts numerical values into an image, which can be more easily analyzed by a human. We have developed a framework, called the Active Data Repository, that is designed to provide support for applications that analyze, explore and visualize very large multi-dimensional datasets. ADR targets distributed memory parallel machines with one or more disks attached to each node. In this paper, we present implementations of ray-casting based volume rendering and iso-surface rendering methods using ADR for visualizing out-of-core datasets, and describe experimental performance results. (Also cross-referenced as UMIACS-TR-2001-04)en_US
dc.format.extent1558020 bytes
dc.format.mimetypeapplication/postscript
dc.language.isoen_US
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-4208en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-2001-04en_US
dc.titleExploration and Visualization of Very Large Datasets with the Active Data Repositoryen_US
dc.typeTechnical Reporten_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtUMIACS Technical Reportsen_US


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