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Visualizing

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Large Scale Earthquake Simulation on Southern San Andreas. 33 researchers, 8 Institutions. Southern California Earthquake Center. San Diego Supercomputer Center ... – PowerPoint PPT presentation

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Title: Visualizing


1
  • Visualizing
  • TERASHAKE
  • Amit Chourasia
  • Visualization Scientist
  • Visualization Services
  • San Diego Supercomputer center
  • Geon Visualization Workshop March 1-2, 2005

2
About Terashake
  • Large Scale Earthquake Simulation on Southern San
    Andreas
  • 33 researchers, 8 Institutions
  • Southern California Earthquake Center
  • San Diego Supercomputer Center
  • Information Sciences Institute
  • Institute of Geophysics and Planetary Physics
    (UC) University of Southern California
  • San Diego State University
  • University of California, Santa Barbara
  • Carnegie-Mellon University
  • ExxonMobil

Slide Courtesy Marcio Faerman
3
About Terashake
  • Description of fault structure
  • Description of velocity model (anelastic seismic
    wave propagation speed through sediment basins
    and through rock)
  • Validation of the anelastic seismic wave
    propagation code
  • Description of the expected fault rupture
    scenario
  • Greek!!!

Slide Courtesy Marcio Faerman
4
TeraShake Simulation Area
  • Rectangular region parallel to San Andreas fault
    containing
  • Los Angeles,
  • San Diego,
  • Mexicali,
  • Tijuana,
  • Ventura Basin,
  • Fillmore,
  • Southern San Joaquin Valley,
  • Catalina Island,
  • Ensenada
  • 600 x 300 x 80 km

Slide Courtesy Marcio Faerman
5
TeraShake Earthquake Simulation
  • Magnitude 7.7 earthquake on southern San Andreas
  • Mesh of 1.8 Billion cubes, 200 m
  • 0.011 sec time step, 20,000 time steps 3 minute
    simulation
  • Kinematic source from Cajon Creek to Bombay Beach
  • 75 sec source duration
  • 18,886 point sources
  • 240 processors on San Diego SuperComputer Center
    DataStar
  • 20,000 CPU hours, over approximately 5 days
    wall clock
  • 47 million megabytes of output
  • Asynchronous rendering of simulation output
    during ongoing computation

Slide Courtesy Marcio Faerman
6
Vista
  • It is a multithreaded, platform independent,
    scalable and robust volume renderer uses out of
    core paging. Vista is built on Scalable
    Visualization Toolkit (SVT)

7
What Vista can do?
  • Volume Render any size volume using out of core
    paging
  • Large Image resolutions - any resolution possible
  • Create walk around
  • data segments
  • Handles 2D meshes
  • IsoVoluming
  • lt-gtIsoSurfacing

8
About Data
9
Go! Visualize
  • Velocity components
  • (Volumes and Surfaces)

10
Visualize ?what?
  • Velocity within specific range
  • Color ramps easily understood by scientists.

250.0                              250.0
cm/s
11
Visualize ?what?
  • Context Geographic location
  • Context Fault lines
  • Simulation Time

12
Visualize ?what?
  • Velocity components and magnitudes
  • Velocity Cumulative peaks
  • Velocity range and color schema

13
One of the Surface Viz
  • Movie Clip

14
One of the Volume Viz
  • Movie Clip

15
Current Viz Effort
  • Wave propagation in 3d
  • Topography with wave propagation
  • Movie Clip1 Movie Clip2
  • Without 3d Terrain With 3d Terrain

16
Tools we use
  • Vista (Scalable Visualization Toolkit SVT)
  • Command line volume renderer (Works!)
  • Mesh Viewer
  • Interactive Volume renderer (Java based)
  • Maya
  • Adobe suite
  • Other things that work

17
More Visualizations
  • Visit website
  • http//vistools.npaci.edu/
  • See Software and Examples
  • SCEC Visualizations
  • http//vistools.npaci.edu/examples/scec.htm

18
Current Viz not enough ?Need more?what?
  • Curl
  • Divergence
  • Directivity
  • ?
  • ??
  • ???

19
Is 2d the ?limit?
  • Ease in navigation/orientation by scientists?
  • Ease of 3d perception on monitor?
  • What are interest zones/regions?
  • Analysis methods for 3d data?
  • ???
  • Are we ready for volumetric Visualization?

20
TeraShake2
  • 16 large scale simulations
  • 250 Tbytes
  • 480 wave propagation simulations
  • 2.5 Tbytes
  • Integration between synthetic and observed data
  • Inversion studies Frechet Kernel database

21
  • Thanks for your patience!

22
  • ? - ?
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