In Situ Pathtube Visualization with Explorable Images

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dc.contributor.authorYe, Yucongen_US
dc.contributor.authorMiller, Roberten_US
dc.contributor.authorMa, Kwan-Liuen_US
dc.contributor.editorFabio Marton and Kenneth Morelanden_US
dc.date.accessioned2014-01-26T17:10:27Z
dc.date.available2014-01-26T17:10:27Z
dc.date.issued2013en_US
dc.description.abstractIn situ processing is considered to be the most plausible data analysis and visualization solution for extreme-scale simulations. Explorable images were introduced as an in situ visualization method to enable interactive exploration of scalar field data without need for access to the massive original data and a powerful computer. We present a technique for in situ generation of explorable images for the visualization of vector field data without incurring additional inter-processor communication during simulation. We demonstrate this technique for pathtube generation on a variety of large datasets. The resulting pathtube visualization succinctly captures the flow structure over the full time span of the simulation. Users may explore the vector field structure through the generated images by changing the view angle, generating block cutaways, adjusting lighting, or changing transfer functions to recolor pathtubes or provide partial transparency.en_US
dc.description.seriesinformationEurographics Symposium on Parallel Graphics and Visualizationen_US
dc.identifier.isbn978-3-905674-45-3en_US
dc.identifier.issn1727-348Xen_US
dc.identifier.urihttps://doi.org/10.2312/EGPGV/EGPGV13/009-016en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectComputer Graphics [I.3.3]en_US
dc.subjectPicture/Image Generationen_US
dc.subjectViewing algorithms Computer Graphics [I.3.1]en_US
dc.subjectHardware Architectureen_US
dc.subjectParallel Processingen_US
dc.titleIn Situ Pathtube Visualization with Explorable Imagesen_US
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EGPGV13: Eurographics Symposium on Parallel Graphics and Visualization