Wednesday, March 24

Infrastructures for Integration of Computation, Experimentation and Visualization

10:00 AM-12:00 PM
Room: Executive Salon 1

Experiments based on digital signal processing such as CT and MRI scans are generating large volume, high content information on physical systems. The emerging generation of distributed, adaptive scientific and engineering simulations will potentially generate information of similar but often complementary and synergistic information content. Visualization is the common mode of analysis and interpretation for both these types of information. Visualization and analysis have been traditionally viewed as a separate phase of the experimentation and/or simulation process. Furthermore, experimental and computational data were regarded separately and stored and analyzed separately. The speakers in this symposium will discuss integrating computation and visualization and computational and experimental data.

Organizers: James C. Browne
University of Texas, Austin
Manish Parashar
Rutgers University

10:00-10:25 New Software Frameworks for Direct Integration of Visualization with Parallel Simulation Codes (Eliminating the Data Storage Bottleneck)
John Shalf, University of Illinois, Urbana
10:30-10:55 The SCIRun Parallel Scientific Computing Problem Solving Environment
Christopher R. Johnson and Steven G. Parker, University of Utah
11:00-11:25 An Evolving Infrastructure to Support Accelerated Strategic Computing Initiative (ASCI) Multi-Source Visualization and Data Analysis Needs
James Ahrens, Patrick McCormick, Allen McPherson and Jamie Painter, Los Alamos National Laboratory
11:30-11:55 UpdatedExperiences with Computational Steering on Existing Scientific Applications
Jeffrey Vetter, University of Illinois, Urbana-Champaign

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LMH, 9/1/98, MMD, 2/3/99