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dc.contributor.authorMarsaglia, Nicoleen_US
dc.contributor.authorMathai, Manishen_US
dc.contributor.authorFields, Stefanen_US
dc.contributor.authorChilds, Hanken_US
dc.contributor.editorBujack, Roxanaen_US
dc.contributor.editorTierny, Julienen_US
dc.contributor.editorSadlo, Filipen_US
dc.description.abstractHigh-performance computing trends are requiring in situ processing increasingly often. This work considers automating camera placement for in situ visualization, specifically of isosurfaces, which is needed when there is no human in the loop and no a priori knowledge of where to place the camera. Our approach utilizes Viewpoint Quality (VQ) metrics, which quantify which camera positions provide the most insight. We have two primary contributions. First, we introduce an approach parallelizing the calculation of VQ metrics, which is necessary for usage in an in situ setting. Second, we introduce an algorithm for searching for a good camera position that balances between maximizing VQ metric score and minimizing execution time. We evaluate our contributions with an in situ performance study on a supercomputer. Our findings confirm that our approach is viable, and in particular that we can find good viewpoints with small execution time.en_US
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.titleAutomatic In Situ Camera Placement for Isosurfaces of Large-Scale Scientific Simulationsen_US
dc.description.seriesinformationEurographics Symposium on Parallel Graphics and Visualization
dc.description.sectionheadersLarge Scale Visualization
dc.identifier.pages11 pages

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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License