The output from leading-edge scientific simulations is so voluminous and complex that advanced visualization techniques are necessary to interpret the calculated results. Even though visualization technology has progressed significantly in recent years, we are barely capable of exploiting terascale data to its full extent, and petascale datasets are on the horizon. This workshop aims at addressing this pressing issue by fostering communication between visualization researchers and the users of visualization. Attendees will be introduced to the latest and greatest research innovations in large data visualization, and also learn how these innovations impact scientific supercomputing and discovery process.
Technical Program
- Petascale Visualization for the RoadRunner Platform: Approaches and Initial Results
James Ahrens,
Los Alamos National Laboratory
- Alternative Visual Data Representations for HPC Applications
Sean Ahern,
Oak Ridge National Laboratory
- Flexible Visualization Environment for Post-Processing of Simulation Data from Numerical Earth System Models
Patrick Barthelemy,
Mecury Computer Systems Inc.
- A Framework for Visuaizing Science at Petascale and Beyond
Kelly Gaither, TACC, TX
- Optiputer
Jason Leigh,
Univerity of Illinois at Chicago
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Analysis of Fragmentation in Shock Physics Simulation
Kenneth Moreland,
Sandia National Laboratory
- Lucille Nowell, NSF Office of Cyberinfrastructure
- Immersive Interfaces for Improving the Scientific Inquiry Process
Patrick O'Leary, Desert Research Institute
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Design of cooperative visualization environment with intensive data management in project lifecycle
Kenji Ono,
Riken Laboratories, Japan
- Ultrascale Visualization for Giga-cell Reservoir Simulation
Jorge Pita, Saudi ARAMCO
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An Outlook into Future Visualization of Large-Scale Biological Data
Nagiza Samatova, North Carolina State University
- Scientific Visualization Challenges of Realistic Brain Tissue Models in the Blue Brian Project
Felix Schuermann, EPFL, Switzerland
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Assessing and Improving Large-Scale Parallel Volume Rendering on the IBM Blue Gene/P
Tom Peterka,
Argonne National Laboratory
Program Committee
- Issei Fujishiro, Tohoku University, Japan
- Han-Christian Hege, ZIB, Germany
- Kwan-Liu Ma, UC Davis
- Mike Papka, Argonne National Laboratory
- Han-Wei Shen, Ohio State University
- Deborah Silver, Rutgers University
