• DocumentCode
    229077
  • Title

    In-situ processing and interactive visualization for large-scaled numerical simulations

  • Author

    Fang Chen ; Flatken, Markus ; Hotz, Ingrid ; Gerndt, Andreas

  • Author_Institution
    Simulation & Software Technol., German Aerosp. Center (DLR), Stuttgart, Germany
  • fYear
    2014
  • fDate
    9-10 Nov. 2014
  • Firstpage
    105
  • Lastpage
    106
  • Abstract
    With the increasing power of the HPC hardware systems, numerical simulations are heading towards exa-scale computing. Early inspection and analysis of on-going large simulations enables domain experts to obtain first insight into their running simulation process and intermediate results. Compared to conventional post-processing, such in-situ processing has the advantage of keeping data in memory, avoiding to store the large amount of raw data to disk, providing on-the-fly analysis, and preventing early failures in the simulation process. In this poster we present a distributed and scalable software infrastructure, which provides distributed in-situ data processing, feature extraction and interactive exploration at user´s front-end. We have integrated and extended our system to multiple simulation applications, ranging from Lattice-Boltzmann blood flow simulation to grid based simulation for propulsion systems. A user-interactive front-end is integrated to our system, allowing to directly interact with the visualization of running simulations, gain insight, and make decisions.
  • Keywords
    data visualisation; mathematics computing; numerical analysis; HPC hardware systems; Lattice-Boltzmann blood flow simulation; exa-scale computing; grid based simulation; high performance computing; in-situ processing; interactive visualization; large-scaled numerical simulation; simulation visulaization; user-interactive front-end; Analytical models; Computational modeling; Data models; Data visualization; Feature extraction; Rendering (computer graphics); Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Large Data Analysis and Visualization (LDAV), 2014 IEEE 4th Symposium on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/LDAV.2014.7013211
  • Filename
    7013211