Highly Efficient Controlled Hierarchical Data Reduction techniques for Interactive Visualization of Massive Simulation Data

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dc.contributor.authorDubois, Jérômeen_US
dc.contributor.authorLekien, Jacques-Bernarden_US
dc.contributor.editorJohansson, Jimmy and Sadlo, Filip and Marai, G. Elisabetaen_US
dc.date.accessioned2019-06-02T18:14:26Z
dc.date.available2019-06-02T18:14:26Z
dc.date.issued2019
dc.description.abstractWith the constant increase in compute power of supercomputers, high performance computing simulations are producing higher fidelity results and possibly massive amounts of data. To keep visualization of such results interactive, existing techniques such as Adaptive Mesh Refinement (AMR) can be of use. In particular, Tree-Based AMR methods (TB-AMR) are widespread in simulations and are becoming more present in general purpose visualization pipelines such as VTK. In this work, we show how TB-AMR data structures could lead to more efficient exploration of massive data sets in the Exascale era. We discuss how algorithms (filters) should be designed to take advantage of tree-like data structures for both data filtering or rendering. By introducing controlled hierarchical data reduction we greatly reduce the processing time for existing algorithms, sometimes with no visual impact, and drastically decrease exploration time for analysts. Also thanks to the techniques and implementations we propose, visualization of very large data is made possible on very constrained resources. These ideas are illustrated on million to billion-scale native TB-AMR or resampled meshes, with the HyperTreeGrid object and associated filters we have recently optimized and made available in the Visualisation Toolkit (VTK) for use by the scientific community.en_US
dc.description.sectionheadersVolume, Simulation, and Data Reduction
dc.description.seriesinformationEuroVis 2019 - Short Papers
dc.identifier.doi10.2312/evs.20191167
dc.identifier.isbn978-3-03868-090-1
dc.identifier.pages37-41
dc.identifier.urihttps://doi.org/10.2312/evs.20191167
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/evs20191167
dc.publisherThe Eurographics Associationen_US
dc.subjectGeneral and reference
dc.subjectDesign
dc.subjectPerformance
dc.subjectEvaluation
dc.subjectHuman
dc.subjectcentered computing
dc.subjectVisualization
dc.subjectSoftware and its engineering
dc.subjectDesigning software
dc.subjectInformation systems
dc.subjectData compression
dc.titleHighly Efficient Controlled Hierarchical Data Reduction techniques for Interactive Visualization of Massive Simulation Dataen_US
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