• DocumentCode
    1925075
  • Title

    DisplayCluster: An Interactive Visualization Environment for Tiled Displays

  • Author

    Johnson, Gregory P. ; Abram, Gregory D. ; Westing, Brandt ; Navr´til, P. ; Gaither, Kelly

  • Author_Institution
    Texas Adv. Comput. Center (TACC), Univ. of Texas at Austin, Austin, TX, USA
  • fYear
    2012
  • fDate
    24-28 Sept. 2012
  • Firstpage
    239
  • Lastpage
    247
  • Abstract
    Display Cluster is an interactive visualization environment for cluster-driven tiled displays. It provides a dynamic, desktop-like windowing system with built-in media viewing capability that supports ultra high-resolution imagery and video content and streaming that allows arbitrary applications from remote sources (such as laptops or remote visualization machines) to be shown. This support extends to high-performance parallel visualization applications, enabling interactive streaming and display for hundred-mega pixel dynamic content. Display Cluster also supports multi-user, multi-modal interaction via devices such as joysticks, smart phones, and the Microsoft Kinect. Further, our environment provides a Python-based scripting interface to automate any set of interactions. In this paper, we describe the features and architecture of Display Cluster, compare it to existing tiled display environments, and present examples of how it can combine the capabilities of large-scale remote visualization clusters and high-resolution tiled display systems. In particular, we demonstrate that Display Cluster can stream and display up to 36 mega pixels in real time and as many as 144 mega pixels interactively, which is 3× faster and 4× larger than other available display environments. Further, we achieve over a gig pixel per second of aggregate bandwidth streaming between a remote visualization cluster and our tiled display system.
  • Keywords
    authoring languages; data visualisation; display devices; image resolution; interactive systems; multimedia computing; parallel processing; DisplayCluster; Microsoft Kinect; Python-based scripting interface; built-in media viewing capability; cluster-driven tiled displays; desktop-like windowing system; high-performance parallel visualization applications; high-resolution tiled display systems; hundred-mega pixel dynamic content; interactive streaming; interactive visualization environment; joysticks; laptops; large-scale remote visualization clusters; multimodal interaction; multiuser; remote visualization machines; smart phones; ultra high-resolution imagery; video content; Bandwidth; Image coding; Image resolution; Libraries; Media; Rendering (computer graphics); Streaming media; displays; high performance computing; human computer interaction; visualization; wide area networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster Computing (CLUSTER), 2012 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-2422-9
  • Type

    conf

  • DOI
    10.1109/CLUSTER.2012.78
  • Filename
    6337785