Large Data Visualization of Seismic Data (TeraShake)

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Presentation transcript:

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

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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

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

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

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

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

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

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

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

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

One of the Surface Viz Movie Clip

One of the Volume Viz Movie Clip

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

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

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

Thanks for your patience!

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