Remote Scientific Visualization for Large Datasets

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dc.contributor.authorTurner, Martinen_US
dc.contributor.authorLeaver, Georgeen_US
dc.contributor.authorPerrin, Jamesen_US
dc.contributor.editorJohn Collomosse and Ian Grimsteaden_US
dc.date.accessioned2014-01-31T20:11:58Z
dc.date.available2014-01-31T20:11:58Z
dc.date.issued2010en_US
dc.description.abstractRemote scientific visualization, where rendering services are provided by larger scale systems than are available on the desktop, are becoming increasingly important as dataset sizes increase beyond the capabilities of desktop workstations. Uptake of such services relies on access to suitable visualization applications and the ability to view the resulting visualization in a convenient form. We apply five rules from the e-Science community to meet these goals with the porting of a commercial visualization package to a large scale system and the integration of this code with the Access Grid. Example use cases from Materials Science are considered.en_US
dc.description.seriesinformationTheory and Practice of Computer Graphicsen_US
dc.identifier.isbn978-3-905673-75-3en_US
dc.identifier.urihttps://doi.org/10.2312/LocalChapterEvents/TPCG/TPCG10/159-166en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.2 [Computer Graphics]: Distributed/network graphicsen_US
dc.titleRemote Scientific Visualization for Large Datasetsen_US
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