Interactive visual exploration of a trillion particles

Handle URI:
http://hdl.handle.net/10754/623212
Title:
Interactive visual exploration of a trillion particles
Authors:
Schatz, Karsten; Müller, Christoph; Krone, Michael; Schneider, Jens; Reina, Guido; Ertl, Thomas
Abstract:
We present a method for the interactive exploration of tera-scale particle data sets. Such data sets arise from molecular dynamics, particle-based fluid simulation, and astrophysics. Our visualization technique provides a focus+context view of the data that runs interactively on commodity hardware. The method is based on a hybrid multi-scale rendering architecture, which renders the context as a hierarchical density volume. Fine details in the focus are visualized using direct particle rendering. In addition, clusters like dark matter halos can be visualized as semi-transparent spheres enclosing the particles. Since the detail data is too large to be stored in main memory, our approach uses an out-of-core technique that streams data on demand. Our technique is designed to take advantage of a dual-GPU configuration, in which the workload is split between the GPUs based on the type of data. Structural features in the data are visually enhanced using advanced rendering and shading techniques. To allow users to easily identify interesting locations even in overviews, both the focus and context view use color tables to show data attributes on the respective scale. We demonstrate that our technique achieves interactive performance on a one trillionpar-ticle data set from the DarkSky simulation.
KAUST Department:
Visual Computing Center (VCC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Schatz K, Muller C, Krone M, Schneider J, Reina G, et al. (2016) Interactive visual exploration of a trillion particles. 2016 IEEE 6th Symposium on Large Data Analysis and Visualization (LDAV). Available: http://dx.doi.org/10.1109/LDAV.2016.7874310.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2016 IEEE 6th Symposium on Large Data Analysis and Visualization (LDAV)
Issue Date:
10-Mar-2017
DOI:
10.1109/LDAV.2016.7874310
Type:
Conference Paper
Sponsors:
This work was partially funded by Deutsche Forschungsgemeinschaft (DFG) as part of SFB 716. J. Schneider is funded by the Visual Computing Center, King Abdullah University of Science and Technology.
Additional Links:
http://ieeexplore.ieee.org/document/7874310/
Appears in Collections:
Conference Papers; Visual Computing Center (VCC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorSchatz, Karstenen
dc.contributor.authorMüller, Christophen
dc.contributor.authorKrone, Michaelen
dc.contributor.authorSchneider, Jensen
dc.contributor.authorReina, Guidoen
dc.contributor.authorErtl, Thomasen
dc.date.accessioned2017-04-13T11:51:01Z-
dc.date.available2017-04-13T11:51:01Z-
dc.date.issued2017-03-10en
dc.identifier.citationSchatz K, Muller C, Krone M, Schneider J, Reina G, et al. (2016) Interactive visual exploration of a trillion particles. 2016 IEEE 6th Symposium on Large Data Analysis and Visualization (LDAV). Available: http://dx.doi.org/10.1109/LDAV.2016.7874310.en
dc.identifier.doi10.1109/LDAV.2016.7874310en
dc.identifier.urihttp://hdl.handle.net/10754/623212-
dc.description.abstractWe present a method for the interactive exploration of tera-scale particle data sets. Such data sets arise from molecular dynamics, particle-based fluid simulation, and astrophysics. Our visualization technique provides a focus+context view of the data that runs interactively on commodity hardware. The method is based on a hybrid multi-scale rendering architecture, which renders the context as a hierarchical density volume. Fine details in the focus are visualized using direct particle rendering. In addition, clusters like dark matter halos can be visualized as semi-transparent spheres enclosing the particles. Since the detail data is too large to be stored in main memory, our approach uses an out-of-core technique that streams data on demand. Our technique is designed to take advantage of a dual-GPU configuration, in which the workload is split between the GPUs based on the type of data. Structural features in the data are visually enhanced using advanced rendering and shading techniques. To allow users to easily identify interesting locations even in overviews, both the focus and context view use color tables to show data attributes on the respective scale. We demonstrate that our technique achieves interactive performance on a one trillionpar-ticle data set from the DarkSky simulation.en
dc.description.sponsorshipThis work was partially funded by Deutsche Forschungsgemeinschaft (DFG) as part of SFB 716. J. Schneider is funded by the Visual Computing Center, King Abdullah University of Science and Technology.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/document/7874310/en
dc.subjectJ.2 [Computer Applications]: Physical Sciences and Engineering — Astronomyen
dc.subjectI.3.5 [Computer Graphics]: Computational Geometry and Object Modeling — Object hierarchiesen
dc.titleInteractive visual exploration of a trillion particlesen
dc.typeConference Paperen
dc.contributor.departmentVisual Computing Center (VCC)en
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journal2016 IEEE 6th Symposium on Large Data Analysis and Visualization (LDAV)en
dc.contributor.institutionVisualization Research Center, University of Stuttgart, Germanyen
kaust.authorSchneider, Jensen
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