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.

Presentation slides will be available for downloading after the workshop.
Contact Kwan-Liu Ma ( for questions about this workshop.


Room 294

Opening Remarks: 9am

Session I:9:10-10am

David Rogers, Los Alamos National Laboratory
UI As Data: Inline User Interfaces for In-situ Analysis Workflows

David Pugmire, Oak Ridge National Laboratory
Visualization Frameworks for Data Staging and In-Situ Environments

Coffee Break: 10-10:30am

Session II:10:30am-12:00

Cameron Christensen and Valerio Pascucci, University of Utah
Streaming Analysis of Distributed Data from Large Scale Simulation: a case study in climate research

Hongfeng Yu, University of Nebraska-Lincoln
Parallel Distance Field Computing for Data Visualization and Analysis Applications

Silvio Rizzi, Argonne National Laboratory
Large Scale Particle and Volume Visualization with VL3 on Leadership Systems

Lunch Break: 12-1:30pm

Session III:1:30-3pm

Amr Hassan, Swinburne University of Technology, Australia
Tera‚Äźscale Interactive Visualization and Data Analysis on CAVE2

Ingo Wald, Intel Corp.
High Fidelity Visualization

Jorji Nonaka, Riken, Japan
SURFACE: A Visualization Framework for Large-Scale Parallel Simulations

Coffee Break: 3:00-3:30pm

Session IV: 3:30-5:00pm

Amit Chourasia, San Diego Supercomputer Center
Sharing Visualization results via SeedMe platform

Nathan Fabian, Sandia National Laboratories
Instruction Memory Overhead of In Situ Visualization Libraries on HPC Machines

Rob Sisneros, NCSA
Data Collection and Visualization on the Blue Waters Supercomputer

Discussion and Closing Remarks: 5:00-5:30pm


workshop chairs

Kwan-Liu Ma Venkatram Vishwanath Hongfeng Yu

program committee

  • Markus Hadwiger, KAUST, Saudi Arabia
  • Hans-Christian Hege, ZIB, Germany
  • Aaron Knoll, University of Utah, USA
  • Ken Moreland, Sandia National Laboratories, USA
  • Kenji Ono, Riken, Japan
  • Chaoli Wang, Michigan Tech University
  • Jon Woodring, Los Alamos National Laboratory, USA


We solicit talk proposals presenting novel research ideas and practices of large data visualization.
Topics of the workshop include but are not limited to:

  • Large Data Visualization
  • Parallel Visualization
  • In Situ Visualization
  • Feature Extraction and Tracking
  • Remote Visualization
  • Petascale Applications
  • Performance Visualization for Petascale Computing
  • Clouding Computing and Visualization
  • Visualization on Supercomputing Platforms
  • Visualization on GPUs and GPU Clusters
  • Visualization on Multicore CPUs
  • Data Reduction and Uncertainty
  • Architectures for Large Data Visualization
  • Flow visualization
  • Time-Varying Data Visualization
  • Knowledge-Assisted Visualization
  • Visualization of Multi-scale Physics
  • Visual Analytics
  • Visualization on High-Resolution Displays
A talk proposal should contain an abstract of the talk on the frist page, and the speaker's biography and contact information on the second page. Please email talk proposals to

important dates

  • Talk Proposal: August 8, 2014
  • Notification Sent: September 1, 2014
  • Workshop Date: November 16, 2014