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Scientific Visualization Case Studies

Scientific Visualization Case Studies. Amit Chourasia Visualization Scientist San Diego Supercomputer Center Presented at : Scientific Computing Institute, Univ. of Utah. Jun 20, 2007. Large? Data?. What kind of data?

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Scientific Visualization Case Studies

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  1. Scientific Visualization Case Studies Amit Chourasia Visualization Scientist San Diego Supercomputer Center Presented at : Scientific Computing Institute, Univ. of Utah. Jun 20, 2007

  2. Large? Data? • What kind of data? Simulations of earthquakes, CFD, astrophysics, molecular modeling, etc Floating point • How large? Time varying and multivariate (1000’s of timesteps) Usually 10’s of TB >1024x1024x1024 floats

  3. Problems • How to verify and validate ? • How to analyze ? • How to gain scientific insight ? • How to share information among experts and non-experts ?

  4. Large amount of numbers don’t make much sense to humans Visual information can encode large amount of numbers to gain insight Understanding Data High Bandwidth Low Bandwidth

  5. Seismic - TeraShake Simulation Collab: SCEC Kim Olsen et. al. • TeraShake 2.1 • Comparison of TS1.2 – TS1.3 • Short and simple • Web Circa 07

  6. Seismic - SCEC Viz portal Collab: SCEC Kim Olsen et. al.

  7. Seismic - Puente Hills Simulation Collab: SCEC Ned Fields et. al. • Movie • Web

  8. Seismic - Recreation of 1906 San Francisco Earthquake Collab: USGS Brad Aagaard et. al. • North Bound • South Bound

  9. Climate Simulation Collab: UCSD LLNL Tim Barnett et. al. • River Flow 3D • River Flow Top

  10. CFD Simulation Collab: GaTech P.K. Yeung et. al.

  11. Enzo – Universe Simulation Collab: UCSD LLNL Mike Norman et. al. • Matter Density • Dark Matter Density • Temperature

  12. Data Centric Transfer Functions Circa 07

  13. Molecular Modelling Collab: NREL • Movie

  14. Real Data?

  15. Cancer Center Visualization Images Animations Movies Visualization Expertise UCSD Cancer Center Software Development Research Intern Computational Scientists Medical Expertise Visualization Tools 1 Research Scientist Supercomputers Latest Microscopy Tools Shared Staff Cancer Research Scientists SDSC Cancer Expertise

  16. The Cellular Imaging Gateway • Web Portal for Cellular Imaging. • Image generation. • Animation creation. • Analysis Functions. • Distributed processing. • Cluster integration. • Remote operation

  17. Core Features • Complete access through standard web browser. • Data set uploads from the microscope and desktop. • Submit jobs to remote clusters. • Review results as arrive. • Notification of results • Monitor results anywhere.

  18. Seismic – 7 Story Building Collab: NEES Jose Resptrepo et. al. • Original video • Match • Check Match • Top • Bottom • Combined • Perspective npr • Roof npr • Site 3d model Circa 07

  19. Data Issues • Data Formats • Data Translation • Data transfer and replication between archival and active file systems • Data larger than memory available

  20. Viz Issues • Domain knowledge • Multivariate data representation • Temporal coherence • Precision Loss (compression,etc) • Interaction vs batch visualization • Perceptual Issues • Personal Bias (author & viewer)

  21. Tools we use to Visualize • Vista (SDSC/NPACI) – Batch Volume renderer • Mesh Viewer (SDSC/NPACI) – Interactive Volume Renderer • DeskVox – Interactive Volume Renderer • Autodesk’s Maya – 3D animation software • Adobe’s suite (After Effects, Photoshop, Illustrator) • Other things that work

  22. Does Viz work? Collab: SCEC Kim Olsen et. al.

  23. Does Viz work? Collab: SCEC Kim Olsen et. al. Circa 07

  24. Lessons Learned (TeraShake) • In the north-westward propagating rupture scenario the wave propagation is strongly guided toward the Los Angeles basin after leaving the San Andreas Fault (unexpected) • The sediment filled basin acts as an amplification source for trapped waves. A Strong amplification is observed in the LA basin long after the initial rupture (unexpected) • Contiguous basins act as energy channels, enhancing ground motion in parts of the San Gabriel and Los Angeles basins. • Identification of regions of particularly strong shaking • Validation of input rupture model and instability identification • Observation of star burst patterns in the Spectral Amplification maps (unexpected) Circa 07

  25. Viz People @ SDSC Visservices • Steve Cutchin • Alex Decastro • Amit Chourasia Synthesis Center • David Nadeau • John Moreland

  26. Information is infinite Joseph Kielman Science Advisor Dept. of Homeland Security Comments at VAST2006 Capstone Think Petascale Data Analysis Information overload Can’t win Can’t break even Can’t get out of the game Can visualization help?

  27. Thanks for your patience? - Web: http://visservices.sdsc.edu/

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