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 IsoSurfacing

8. About Data Scalar Surface (floats) 3000 x 1500 ie 600 km x 300 km =17.2 MB per timestep 20,000 timesteps 3 variables Vx, Vy & Vz Velocity components Total Scalar data = 1.1 TB Scalar Volume (floats) 3000 x 1500 x 400 ie 600 x 300 x 80 km^3 =7.2 GB per timestep 2,000 timesteps 3 variables Vx, Vy & Vz Velocity components Total Vol data = 43.2 TB Other Data – check points,etc Grand Total = 47.4 TB

9. Go! Visualize Velocity components (Volumes and Surfaces) -0.1 +0.1

10. Visualize ? what ? Velocity within specific range Color ramps easily understood by scientists. -50.0 +50.0 cm/s 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 -50.0 +50.0 cm/s0.0 250.0 cm/s

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 Clip1Movie Clip2Movie Clip1Movie Clip2 Without 3d TerrainWith 3d Terrain

16. Tools we use Vista (Scalable Visualization Toolkit –SVT)Vista 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. ? -