Ultrascale Visualization

November 17, 2013 | Denver, Colorado

  • 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 Evaluation: The link or QR Code

  • Organization

    Workshop Chairs

    Kwan-Liu Ma Venkatram Vishwanath Hongfeng Yu

    Program Committee

    • Janine Bennett,Sandia National Laboratories
    • Hank Childs,University of Oregon/LBNL
    • Markus Hadwiger, KAUST
    • Hans-Christian Hege, ZIB, Germany
    • Ken Moreland, Sandia National Laboratories
    • Vijay Natarajan, Indian Institute of Science
    • Kenji Ono, Riken, Japan
    • Valerio Pascucci, University of Utah
    • Tom Peterka, Argonne National Laboratory
    • Chaoli Wang, Michigan Tech University
    • Jon Woodring, Los Alamos National Laboratory
    • Xiaoru Yuan, Peking University, China

  • Co-Sponsors

    • DOE SciDAC Program
  • Call for Participation

    We solicit papers 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
    • Papers submitted to this workshop should be in ACM format (see http://www.acm.org/sigs/publications/proceedings-templates) and no longer than 8 pages. The papers should be original and not previously published. Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop topics. Papers presented at the workshop will be included in the SC'13 workshop proceedings as part of the ACM digital library.

      Papers Submission Deadline: September 19, 2013 (11:59 PM PST)
      Author Notification: October 7, 2013
      Camera Ready Copy: October 14, 2013

      Submission URL: http://www.easychair.org/conferences/?conf=ultravis13

      Contact Email: ultravis13@mcs.anl.gov

  • Technical Program

    9:00 AM - 9:15 AM Opening Remarks

    9:15 AM - 10:00 AM Session 1

    Invited Talk: Advanced Visualization Instrumentation
    Jason Leigh, University of Illinois at Chicago

    10:00 AM - 10:30 AM Coffee Break

    10:30 AM - 12:00 PM Session 2

    Session Chair: Tom Peterka, Argonne National Laboratory

    An Analytical Framework for Particle and Volume Data of Large–Scale Combustion Simulations
    Franz Sauer, University of California-Davis
    Hongfeng Yu, University of Nebraska-Lincoln
    Kwan-Liu Ma, University of California-Davis

    Ray Tracing and Volume Rendering Large Molecular Data on Multi-Core and Many-Core Architectures
    Aaron Knoll, Texas Advanced Computer Center
    Ingo Wald, Intel Labs
    Paul Navratil, Texas Advanced Computing Center
    Michael E. Papka, Argonne National Laboratory
    Kelly Gaither, Texas Advanced Computing Cente

    On-Demand Unstructured Mesh Translation for Reducing Memory Pressure during In Situ Analysis
    Jonathan Woodring, James Ahrens, Los Alamos National Laboratory
    Timothy Tautges, Tom Peterka, Venkat Vishwanath, Argonne National Laboratory
    Berk Geveci, Kitware Inc.

    12:00 PM - 1:30 PM Lunch

    1:30 PM - 3:00 PM Session 3

    Session Chair: Franz Sauer, University of California at Davis

    Invited Talk: Remote and Collaborative Visualization at Scale — Gaining Insight Against Insurmountable Odds
    Kelly Gaither, Texas Advanced Computing Center

    Invited Talk: Interactive supercomputing for simulation-based brain research
    Felix Schurmann and Stefan Eilemann, EPFL

    Invited Talk: Visualization Support for HPC in Canada: A View from the Compute Canada Trenches
    Brian Corrie, Simon Fraser University

    3:00 PM - 3:30 PM Coffee Break

    3:30 PM - 5:30 PM Session 4

    Session Chair: Aaron Knoll, Texas Advanced Computing Center

    Invited Talk: ParVis: Bringing HPC to climate model analysis
    Rob Jacob, Argonne National Laboratory

    GPU-Accelerated Molecular Visualization on Petascale Supercomputing Platforms
    John E. Stone, Kirby L. Vandivort, Klaus Schulten, University of Illinois at Urbana-Champaign

    A Model for Optimizing File Access Patterns using Spatio-Temporal Parallelism
    Boonthanome Nouanesengsy, John Patchett, James Ahrens, Los Alamos National Laboratory
    Andrew Bauer, Aashish Chaudhary, Kitware Inc.
    Ross Miller, Oak Ridge National Laboratory
    Berk Geveci, Kitware Inc.
    Galen Shipman, Oak Ridge National Laboratory
    Dean Williams, Lawrence Livermore National Laboratory

    A Classification of Scientific Visualization Algorithms for Massive Threading
    Kenneth Moreland, Sandia National Laboratories
    Berk Geveci, Kitware Inc.
    Kwan-Liu Ma, University of California-Davis
    Robert Maynard, Kitware Inc.