• DocumentCode
    451273
  • Title

    Visualizing Very Large-Scale Earthquake Simulations

  • Author

    Ma, Kwan-Liu ; Stompel, Aleksander ; Bielak, Jacobo ; Ghattas, Omar ; Kim, Eui Joong

  • Author_Institution
    University of California at Davis
  • fYear
    2003
  • fDate
    15-21 Nov. 2003
  • Firstpage
    48
  • Lastpage
    48
  • Abstract
    This paper presents a parallel adaptive rendering algorithm and its performance for visualizing time-varying unstructured volume data generated from large-scale earthquake simulations. The objective is to visualize 3D seismic wave propagation generated from a 0.5 Hz simulation of the Northridge earthquake, which is the highest resolution volume visualization of an earthquake simulation performed to date. This scalable high-fidelity visualization solution we provide to the scientists allows them to explore in the temporal, spatial, and visualization domain of their data at high resolution. This new high resolution explorability, likely not presently available to most computational science groups, will help lead to many new insights. The performance study we have conducted on a massively parallel computer operated at the Pittsburgh Supercomputing Center helps direct our design of a simulation-time visualization strategy for the higher-resolution, 1Hz and 2 Hz, simulations.
  • Keywords
    computing; earthquake modeling; high-performance; massively parallel supercomputing; parallel rendering; scientific visualization; time-varying data; unstructured grids; volume rendering; wave propagation; Computational modeling; Computer science; Computer simulation; Concurrent computing; Data visualization; Earthquakes; Large-scale systems; Permission; Seismic waves; Spatial resolution; computing; earthquake modeling; high-performance; massively parallel supercomputing; parallel rendering; scientific visualization; time-varying data; unstructured grids; volume rendering; wave propagation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Supercomputing, 2003 ACM/IEEE Conference
  • Print_ISBN
    1-58113-695-1
  • Type

    conf

  • DOI
    10.1109/SC.2003.10026
  • Filename
    1592951