2nd Workshop on Visual Performance Analysis (VPA)

Held in conjunction with SC15: The International Conference on High Performance Computing, Networking, Storage and Analysis

Austin, TX, USA

November 20, 2015

Extended Submission Deadline: August 5, 2015



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llnl  julich  utah


Over the last decades an incredible amount of resources has been devoted to building ever more powerful supercomputers. However, exploiting the full capabilities of these machines is becoming exponentially more difficult with each new generation of hardware. To help understand and optimize the behavior of massively parallel simulations the performance analysis community has created a wide range of tools and APIs to collect performance data, such as flop counts, network traffic or cache behavior at the largest scale. However, this success has created a new challenge, as the resulting data is far too large and too complex to be analyzed in a straightforward manner. Therefore, new automatic analysis approaches must be developed to allow application developers to intuitively understand the multiple, interdependent effects that their algorithmic choices have on the final performance.

This workshop will bring together researchers and practitioners from the areas of performance analysis, application optimization, visualization, and data analysis and provide a forum to discuss novel ideas on how to improve performance understanding, analysis and optimization through novel techniques in scientific and information visualization.


Workshop Topics

  • Scalable displays of performance data
  • Interactive visualization of performance data
  • Data models to enable data analysis and visualization
  • Graph representation of unstructured performance data
  • Collection and representation of meta data to enable fine grained attribution
  • Message trace visualization
  • Memory and network traffic visualization
  • Representation of hardware architectures


Paper Submission

Updated. We solicit two types of papers both covering original and previously unpublished ideas: 8 page regular papers and 4 page position papers. To be considered, your manuscript should be formatted according to the SC15 style which can be found at http://www.acm.org/sigs/publications/proceedings-templates

All papers must be submitted through Easychair at: https://easychair.org/conferences/?conf=vpa2015



All logistics, including registration, hotel reservations, and visa requests, will be handled by SC15.


Important Dates

  • August 5th: submission deadline for full and short papers
  • September 8th: notification of acceptance
  • October 5th: final paper and copyrights due



Friday Nov 20th

Hilton 410

8:45am Introduction

9:00am - 9:40am Keynote: Kelly Gaither Director of Visualization Texas Advanced Computing Center

9:40am - 10am
Separating the Wheat from the Chaff: Identifying Relevant and Similar Performance Data with Visual Analytics
Laura von Rüden, Marc-André Hermanns, Michael Behrisch, Daniel Keim, Bernd Mohr and Felix Wolf

10:00 - 10:30 Break

10:30 - 10:50
Visualizing Execution Traces with Task Dependencies
Blake Haugen, Stephen Richmond, Jakub Kurzak, Chad Steed and Jack Dongarra

10:50 - 11:10
DAGViz: A DAG Visualization Tool for Analyzing Task-Parallel Program Traces
An Huynh, Douglas Thain, Miquel Pericas and Kenjiro Taura

11:10 - 11:30
Relating Memory Performance Data to Application Domain Mesh using an Integration API
Benafsh Husain, Alfredo Gimenez, Joshua Levine, Todd Gamblin and Peer-Timo Bremer

11:30 - 11:50
TABARNAC: Visualizing and Solving Memory Access Issues on NUMA Architectures
David Beniamine, Matthias Diener, Guillaume Huard and Philippe O. A. Navaux


Workshop Organizers

  • Peer-Timo Bremer, Lawrence Livermore National Laboratory
  • Bernd Mohr, Jülich Supercomputing Centre
  • Valerio Pascucci, University of Utah
  • Martin Schulz, Lawrence Livermore National Laboratory



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Program Committee

  • Holger Brunst, ZIH / TU Dresden
  • Remco Chang, Tufts University
  • Hank Childs, University of Oregon
  • Karl Fuerlinger, Ludwig Maximilians Universitaet
  • Todd Gamblin, Lawrence Livermore National Laboratory
  • Marc-Andre Hermanns, Jülich Supercomputing Centre
  • Judit Gimenez, Barcelona Supercomputing Center / Universitat Politècnica de Catalunya
  • Kevin Huck, University of Oregon
  • Daniel Keim, Universitaet Konstanz
  • Joshua Levine, Clemson University
  • Naoya Maruyama, RIKEN AICS
  • John Mellor-Crummey, Rice University
  • Klaus Mueller, Stonybrook
  • Matthias Mueller, RWTH Aachen University
  • Paul Rosen, University of Utah
  • Carlos Scheidegger, University of Arizona
  • Derek Xiaoyu Wang, UNC Charlotte
  • Felix Wolf, German Research School for Simulation Sciences