• DocumentCode
    3682714
  • Title

    Distributed Visual Analytics on Large-Scale High-Resolution Displays

  • Author

    Hansjorg Schmauder;Michael Burch;Christoph Muller;Daniel Weiskopf

  • Author_Institution
    Visualization Res. Center, Univ. of Stuttgart Stuttgart, Stuttgart, Germany
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Large-scale high-resolution displays are becoming increasingly available and have thus been the target of recent research. Such systems are usually driven by a graphics cluster, making software development a tedious endeavor; this might be the reason why it is uncommon to use them for interactive information visualization and visual analytics. However, this application area can particularly benefit from a large number of pixels. Therefore, we investigate distributed GPU-based rendering for visual analytics on a multi-tile large-scale display offering high resolution. We discuss conceptual differences and commonalities between information and scientific visualization on high-resolution displays. The requirements of high-resolution information visualization result in design choices for a software architecture for distributed GPU rendering. We illustrate our system for the example of a fractal tree visualization technique and report on performance characteristics and other experiences.
  • Keywords
    "Rendering (computer graphics)","Data visualization","Visual analytics","Graphics processing units","Three-dimensional displays","Geometry"
  • Publisher
    ieee
  • Conference_Titel
    Big Data Visual Analytics (BDVA), 2015
  • Type

    conf

  • DOI
    10.1109/BDVA.2015.7314291
  • Filename
    7314291