Time Series AMR Data Representation for Out-of-core Interactive Visualization

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dc.contributor.authorAlexandre-Barff, Welcomeen_US
dc.contributor.authorDeleau, Hervéen_US
dc.contributor.authorSarton, Jonathanen_US
dc.contributor.authorLedoux, Francken_US
dc.contributor.authorLucas, Laurenten_US
dc.contributor.editorSauvage, Basileen_US
dc.contributor.editorHasic-Telalovic, Jasminkaen_US
dc.date.accessioned2022-04-22T07:54:30Z
dc.date.available2022-04-22T07:54:30Z
dc.date.issued2022
dc.description.abstractTime-varying Adaptive Mesh Refinement (AMR) data have become an essential representation for 3D numerical simulations in many scientific fields. This observation is even more relevant considering that the data volumetry has increased significantly, reaching petabytes, hence largely exceeding the memory capacities of the most recent graphics hardware. Therefore, the question is how to access these massive data - AMR time series in particular - for interactive visualization purposes, without cracks, artifacts or latency. In this paper, we present a time-varying AMR data representation to enable a possible fully GPU-based out-of-core approach. We propose to convert the input data initially expressed as regular voxel grids into a set of AMR bricks uniquely identified by a 3D Hilbert's curve and store them in mass storage.en_US
dc.description.sectionheadersPosters
dc.description.seriesinformationEurographics 2022 - Posters
dc.identifier.doi10.2312/egp.20221014
dc.identifier.isbn978-3-03868-171-7
dc.identifier.issn1017-4656
dc.identifier.pages31-32
dc.identifier.pages2 pages
dc.identifier.urihttps://doi.org/10.2312/egp.20221014
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egp20221014
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing --> Scientific visualization
dc.subjectHuman centered computing
dc.subjectScientific visualization
dc.titleTime Series AMR Data Representation for Out-of-core Interactive Visualizationen_US
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