The Community for Technology Leaders
SC Conference (2003)
Phoenix, Arizona
Nov. 15, 2003 to Nov. 21, 2003
ISBN: 1-58113-695-1
pp: 48
Eui Joong Kim , Carnegie Mellon University
Omar Ghattas , Carnegie Mellon University
Aleksander Stompel , University of California at Davis
Kwan-Liu Ma , University of California at Davis
Jacobo Bielak , Carnegie Mellon University
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.
earthquake modeling, high-performance computing, massively parallel supercomputing, scientific visualization, parallel rendering, time-varying data, unstructured grids, volume rendering, wave propagation
Eui Joong Kim, Omar Ghattas, Aleksander Stompel, Kwan-Liu Ma, Jacobo Bielak, "Visualizing Very Large-Scale Earthquake Simulations", SC Conference, vol. 00, no. , pp. 48, 2003, doi:10.1109/SC.2003.10026
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