1 / 18

Large Data Visualization of Seismic Data (TeraShake)

Large Data Visualization of Seismic Data (TeraShake). Amit Chourasia Visualization Scientist Visualization Services Presented at: SDSC Booth at SC05 . movie. About Terashake. Large Scale Earthquake Simulation on Southern San Andreas 33 researchers, 8 Institutions

twila
Download Presentation

Large Data Visualization of Seismic Data (TeraShake)

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  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

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

  8. -50.0 +50.0 cm/s Visualize ?what? • Velocity within specific range • Color ramps easily understood by scientists. 250.0 +250.0 cm/s

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

  10. 0.0 250.0 cm/s -50.0 +50.0 cm/s Visualize ?what? • Velocity components and magnitudes • Velocity Cumulative peaks • Velocity range and color schema

  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. ? -  Website to visit http://visservices.sdsc.edu/ Drop a line to amit@sdsc.edu

More Related