1. Large Data Visualization of Seismic Data (TeraShake)
Amit Chourasia
Visualization Scientist
Visualization Services
Presented at: SDSC Booth at SC05

2. movie

3. 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

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
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. About Data Scalar Surface (floats) Scalar Volume (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
Total Vol data = 43.2 TB
Other Data – check points,etc
Grand Total = 47.4 TB

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

8. Visualize ?what? Velocity within specific range
Color ramps easily understood by scientists.
                             cm/s
-50.0                                     cm/s

9. Visualize ?what? Context – Geographic location Context – Fault lines
Simulation Time

10. Visualize ?what? Velocity components and magnitudes
Velocity Cumulative peaks
Velocity range and color schema
                            cm/s
-50.0                                  cm/s

11. Tangible Numbers 55 Different animations Over 80,000 images
Above 14,000 CPU hours on Datastar
Above 12,000 CPU hours on Teragrid
2d Surface, 3d Topography and volume rendering techniques

12. One of the Surface Viz
Movie Clip

13. One of the Volume Viz
Movie Clip

14. Current Viz Effort Wave propagation in 3d
Topography with wave propagation
Movie Clip

15. Tools we use Vista (SDSC/NPACI) – Batch Volume renderer
Mesh Viewer (SDSC/NPACI) – Interactive Volume Renderer
Alias’s Maya & Image Studio
Adobe’s suite (After Effects, Photoshop, Illustrator)
Other things that work

16. Does Visualization help?
Diagnosis, monitoring and verification
Identification of fairly simple aggregate behavior of the phenomenon (wavefields) that could not be guessed at by simply examining standard output
Integrate disparate data
Makes the results palatable to broader audience

17. Thanks for your patience!

18. Drop a line to amit sdsc.edu
? - 
Website to visit
Drop a line to amit sdsc.edu