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Visualizing Very Large Scale Earthquake Simulations (SC 2003)

Visualizing Very Large Scale Earthquake Simulations (SC 2003). K.L.Ma, UC-Davis. Summary. A parallel rendering algorithm is presented to visualize a 3D seismic propagation (time varying data) of Northridge earthquake (highest resolution vol viz of an earthquake simulation to date)

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Visualizing Very Large Scale Earthquake Simulations (SC 2003)

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  1. Visualizing Very Large Scale Earthquake Simulations (SC 2003) K.L.Ma, UC-Davis

  2. Summary • A parallel rendering algorithm is presented to visualize a 3D seismic propagation (time varying data) of Northridge earthquake (highest resolution vol viz of an earthquake simulation to date) • Issues dealt with: • Large data • Time varying data • Unstructured grid

  3. Main strategies used • Interleaving load distribution • Overlapping communication and computation • Avoiding per time step processing • Buffering intermediate results to amortize communication overheads • Compression • A parallel cell projection algorithm is used which requires no connectivity between adjacent cells unlike ray tracing (for visualizing unstructured data)

  4. Parallel Rendering • An octree based representation of the volume is used at multiple resolutions • The appropriate data resolution is used to match image resolution • Projection data is scattered to the nodes to eliminate nodes that are not viewed • The data block size is made coarse enough for faster traversal • The loading of blocks from disk and rendering are overlapped.

  5. Parallel Image Composition • SLIC (Scheduled Linear Image Compositing) • Pixels are classified as background (ignored), non-overlapping (sent directly to final processor) and 1, 2, 3 overlapping etc (figure 4) • Compositing is scheduled according to overlap • The overlapping calculation has to be redone when view point changes (scheduling for composition is also recalculated)

  6. Results, References • Test results should low compositing cost in most cases but after n=32, the parallel algorithm is inefficient due to load imbalance • Papers to look at: • survey of visualization of time varying data • binary swap • communication costs of parallel volume rendering algorithms • SLIC

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