Friday, March 14

MS48
Ultra Scale Parallel Visualization

10:00 AM - 12:00 PM
Room: Atlanta B

Parallel processing plays an increasingly important role in the area of scientific visualization as the size of data continues to increase. The complexity and scale of the data generated by terascale (and soon petascale) simulations, however, demand even greater advancement in fundamental visualization algorithms and system designs. In this minisymposium, top researchers in the field are invited to discuss state-of-the-art in scalable parallel visualization algorithms development for datasets of petascale and beyone. Researchers from National Laboratories will also showcase visualization on leadership class computing resources such as IBM Blue and on emerging architectures such as the cells.

Organizer: Han-Wei Shen
Ohio State University

10:00-10:25 An I/O Conscious Data Management Strategy for Parallel Volume Rendering

Han-Wei Shen and Yuan Hong, Ohio State University

10:30-10:55 Visualization on Leadership Class Computing Resources

Tom Peterka and Rob Ross, Argonne National Laboratory

11:00-11:25 Data Analysis and Visualization for Emerging Architectures

Patrick McCormick, Los Alamos National Laboratory

11:30-11:55 Scalable Parallel Vector Field Visualizations

Chaoli Wang and Kwan-Liu Ma, University of California, Davis