Team Members: Rich Cook, Liam Krauss, Peter Lindstrom, Becky Springmeyer
Project Alumni: Sean Ahern, Mark Blair, Dave Bremer, Eric Brugger, Mark Duchaineau, Randy Frank, John Hobson,
Holger Jones, Eric LaMar, Valerio Pascucci, Shelly Prevost, Dan Schikore, Dale Southard, Phil Sutton, Sam Uselton, Peter Williams
Continuing advances in scientific simulation technologies have resulted in the generation of dramatically larger datasets than previously possible. Three-dimensional, time-varying datasets of several terabytes are now common and petabyte scale datasets are on the horizon. However, there has not been a commensurate increase in visualization technology, particularly for interactive systems. As a result, there is a notable lack of tools for the interactive visualization of these datasets. Of particular concern is the fact that these enormous datasets are generally visualized with pre-planned movie sequences or in greatly restrictive settings. As a consequence, the vast majority of this data is not only never observed by scientists tasked with comprehending the data, but it is not even available to the scientist to help determine what subsets of the data warrant closer inspection.
Advanced Simulation and Computing (ASC) visualization is taking up the challenge of providing interactive environments for the visual exploration of these datasets. ASC visualization brings together ASC-supported research, development, engineering, deployment, and applications support in visualization, data management, and data exploration. In many cases, necessary hardware and software technologies do not exist or are in their infancy. Hence, a major part of the program has targeted research and development to create innovative technologies for scientific collaboration, data exploration, visualization, and understanding. Once prototype technologies exist, they need to be integrated, tested, and evaluated by a representative set of users. Finally, these technologies need to be deployed in a generally available, operational, and reliable environment for direct day-to-day use by ASC users and applications. It is the goal of LLNL ASC visualization efforts to facilitate and to drive the evolution of scalable visualization technologies.
At LLNL, ASC visualization efforts are focused on the research and development of algorithms and frameworks that support scalable visualization systems. This includes displays, rendering frameworks, novel algorithms and output sensitive visualization techniques.
Current Projects
The ASC Visualization project includes both research and development efforts in many areas. Current efforts include:
Papers and Presentations
For more information about the ASC Visualization project, contact Becky Springmeyer.