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 petascale data to its full extent, and exascale 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.

Workshop Chairs

Technical Program
















Previous Workshops

Kwan-Liu Ma Venkatram Vishwanath Hongfeng Yu

Co-sponsered by:

  • IEEE Computer Society
  • ACM SIGARCH
  • DOE SciDAC Program
  • NSF PetaApps Program
9:00 - 9:15 Opening, Venkatram Vishwanath, Argonne National Laboratory
[slides]
9:15 - 10:00 Large Scale Biomedical Visualization
Chris Johnson (invited), University of Utah
[slides]
10:00 - 10:30 Coffee Break
Session Chair: Hongfeng Yu, University of Nebraska-Lincoln
10:30 - 11:00 An Analysis of a Distributed GPU Implementation of Proton Computed Tomographic (pCT) Reconstruction
Kirk Duffin (invited), Northern Illinois University
[slides]
11:00 - 11:30 Stochastic Approach for Integrated Rendering of Volumes and
Semi-transparent surfaces
Naohisa Sakamoto, Kyoto University, Japan
[slides]
11:30-12:00 Meshing the Universe: Integrating Analysis in Cosmological Simulations
Tom Peterka (invited), Argonne National Laboratory
[slides]
12:00 - 1:30 Lunch
Session Chair: Tom Peterka, Argonne National Laboratory
1:30 - 2:00 Feature-Based Analysis of Large Scale Scientific Data
Timo Bremer (invited), Lawrence Livermore National Laboratory
2:00 - 2:30 Scalable Visual Queries for Data Exploration on Large, High-Resolution 3D Displays
Khairi Reda, University of Illinois at Chicago
[slides]
2:30 - 3:00 Visualization and Post-Processing of Large Scale Engineering Applications
Earl Duque (invited), Intelligent Light
3:00 - 3:30 Coffee break
Session Chair: Janine Bennett, Sandia National Laboratories
3:30 - 4:00 The SDAV Software Frameworks for Visualization and Analysis on Next-Generation Multi-core Architectures
Chris Sewell (invited), Los Alamos National Laboratory
[slides]
4:00 - 4:30 Load Balanced Parallel GPU Out-of-Core for Continuous LOD Model Visualization
Chao Peng, Virginia Tech. [slides]
4:30 - 5:00 Oh, $#*@! Exascale!: The effect of emerging architectures on scientific discovery
Ken Moreland (invited), Sandia National Laboratories. [slides]
5:00 - 5:30 Discussion











UltraVis 2011 was held in Seattle

UltraVis 2011

UltraVis 2011

UltraVis 2011

UltraVis 2010 was held in New Orleans

UltraVis 2010

UltraVis 2010

UltraVis 2010

UltraVis 2010

UltraVis 2009 was held in Portland

UltraVis 2009

UltraVis 2009

UltraVis 2009