Scientific Discovery through Advanced Visualization

SC|05
Workshop on State-of-the-Art Visualization Techniques for
Gleaning Insights in Large Time-Varying Volume Data



8:30am-12:00pm, November 18, 2005
Room 302, Washington State Convention and Trade Center, Seattle, WA

The study of dynamical aspects of physical phenomena or chemical processes is critical to the advances of many sciences. Great investments have been continuously made to revolutionize high-performance computing technologies which enable high-resolution numerical modeling of complex scientific processes from diverse areas such as neuron excitation, combustion, nuclear reaction, earthquakes, long-term weather changes, and even galaxy merger. These large-scale simulations produce data that is vast in the spatial, temporal and variable domains, creating a formidable challenge for subsequent analysis. In most cases, scientific visualization is the only plausible path to gleaning insight from these enormous data. The ability to interactively visualize and explore the complex, dynamic phenomena contained within these data is absolutely essential to ensure correct interpretation and analysis, to provoke insights, and to communicate those insights with others. Over the past few years, research innovations have been made in data reduction, rendering and interaction techniques, and system integration strategies to improve the interactivity and explorability of large-scale, time-varying data visualization, in particular, through the effort of an NSF ITR project. The purpose of this workshop is of two folds. First, the workshop attendees will be introduced to the latest and greatest research innovations in time-varying data visualization. Second, the attendees will help assess current technology and direct further research directions through an open discussion session.


Sponsored by the ITR program of the National Science Foundation


Workshop Organizer: Kwan-Liu Ma, UC Davis



Agenda

08:30 - 09:20   Overview and High-Performance Visualization Techniques
  Kwan-Liu Ma, UC Davis
  [Slides](4.3MB)
09:20 - 10:00   Temporal Feature Extraction and Encoding
  Han-Wei Shen, Ohio State University
  [Slides](4.3MB)
10:00 - 10:30   Break
10:30 - 11:00   Multimodal Visualization Process, David Modl, LANL
11:00 - 11:30   Desktop Techniques, John Clyne, NCAR
  [Slides](6.7MB)
11:30 - 12:00   Open Discussion

At SC 2005





E-Mail Kwan-Liu Ma (ma@cs.ucdavis.edu) for any questions.