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

Kwan-Liu Ma	Venkatram Vishwanath	Hongfeng Yu

TECHNICAL PROGRAM

• 9:00
  Opening remarks
  
  
• 9:10
  Perspectives on 10 years of Ultrascale Visualization Collaborations
  Joe Insley
  Argonne National Laboratory, USA
  [slides]
  
  
• 9:35
  Large Scale Visualization on GPU-Accelerated Supercomputers
  Peter Messmer
  NVIDIA Inc.
  [slides]
  
  
• 10:00
  Coffee break
  
  
• 10:30
  VTK-m: Building a Visualization Toolkit for Massively Threaded Architectures
  Ken Moreland
  Sandia National Laboratories, USA
  [slides]
  
  
• 11:00
  Adaptive Thresholds to Analyze and Track Features in Large-Scale Simulations
  Peer-Timo Bremer
  Lawrence Livermore National Laboratory, USA
  
  
• 11:25
  Large-Scale Data Visualization Applications on Tianhe-1A
  Guangming Liu
  National Supercomputing Center in Tianjin, China
  [slides]
  
  
• 11:50
  Visualization, Analysis, and Exascale: Trouble or Triumph?
  Wes Bethel
  Lawrence Berkeley National Laboratory, USA
  
  
• 12:20
  Closing remarks
  

PREVIOUS WORKSHOPS

Presentation slides will be available for downloading after the workshop.
Contact Kwan-Liu Ma (ma@cs.ucdavis.edu) for questions about this workshop.