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.
Sponsored by the DOE SciDAC Program and NSF ITR Program
- Kwan-Liu Ma, UC Davis
- Chris Johnson, University of Utah
Workshop Chairs
- Opening Remarks, Kwan-Liu Ma and Chris Johnson
Technical Program
08:30
08:45
- Large-Scale Visual Analysis
- Christopher Johnson, University of Utah
09:10
- Ultrascale Visualization
- Kwan-Liu Ma, University of California, Davis
09:35
- Interactive Ray Tracing for Large-Scale Scientific Visualization
- Steven Parker, University of Utah
10:00
- Coffee break
10:30
- Challenges in Visualizing Large Earthquake Simulations
- Amit Chourasia, San Diego Supercomputing Center
10:55
- Multidimensional Particle Visualization
- Chad Jones, University of California, Davis
11:20
- TeraGrid Visualization
- Mike Papka, Argonne National Laboratory
11:45
- Open Discussion
- Lunch Break
12:00
13:30
- Robust Multi-Scale Analysis of Scientific Data: Quantitative Queries, Error Bounds and Scalable Performance
- Valerio Pascucci, Lawrence Livermore National Laboratory
13:55
- Time-Varying Data Visualization
- Han-Wei Shen, Ohio State University
14:20
- Lossy Compression for Petascale Scientific Computing
- John Clyne, NCAR
14:40
- Production Visualization of Very Large Data
- Robert Patterson, NCSA
- Coffee Break
15:00
15:30
- Concurrent Visualization at the NASA Advanced Supercomputing
- David Ellsworth, NASA Ames Research Center
15:55
- Utilizing Data Commonality for Visualization of Production Physics Based Simulations
- Eric Mark, Army Research Laboratory
16:20
- Multiscale Imaging of the Brain: Visualization and Simulation - Opportunities and Challenges
- Mark Ellisman, NIH Center for Microscopy and Imaging Research (NCMIR) and University of California at San Diego
- Open Discussion
16:45
- Workshop Ends
17:00
- Time-Varying Data Visualization 2005
- Ultravis 2006
Previous Workshops
To attend this Workshop, you must register for SC '07.
Contact Kwan-Liu Ma for any questions about this Workshop.
Contact Kwan-Liu Ma for any questions about this Workshop.