Interactive visual exploration of a trillion particles

Karsten Schatz, Christoph Muller, Michael Krone, Jens Schneider, Guido Reina, Thomas Ertl

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

17 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationIEEE Symposium on Large Data Analysis and Visualization 2016, LDAV 2016 - Proceedings
EditorsKenneth Moreland, Markus Hadwiger, Ross Maciejewski
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages56-64
Number of pages9
ISBN (Electronic)9781509056590
DOIs
Publication statusPublished - 8 Mar 2017
Externally publishedYes
Event6th IEEE Symposium on Large-Scale Data Analysis and Visualization, LDAV 2016 - Baltimore, United States
Duration: 23 Oct 2016 → …

Publication series

NameIEEE Symposium on Large Data Analysis and Visualization 2016, LDAV 2016 - Proceedings

Conference

Conference6th IEEE Symposium on Large-Scale Data Analysis and Visualization, LDAV 2016
Country/TerritoryUnited States
CityBaltimore
Period23/10/16 → …

Keywords

  • I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling-Object hierarchies
  • J.2 [Computer Applications]: Physical Sciences and Engineering-Astronomy

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