VPA 2014 - 1st Workshop on Visual Performance Analysis (VPA)

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
We solicit two types of papers both covering original and previously unpublished ideas: 8 page regular papers and 2 page position papers. To be considered, your manuscript should be formatted according to the double-column IEEE format for Conference Proceedings (IEEEtran LaTeX Class (template) V1.8 packages and IEEEtran V1.12 BibTeX (bibliography)). Margins and font sizes should not be modified. The templates for "IEEEtran LaTeX Class (template) V1.8 packages and IEEEtran V1.12 BibTeX (bibliography)" can be found at http://www.ieee.org/conferences_events/conferences...
All papers must be submitted through Easychair at: https://www.easychair.org/conferences/?conf=vpa14
Important Dates
July 28th: submission deadline for full papers
September 15th: notification of acceptance
October 6th: final paper and copyrights due
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
Contact
vpa14-AT-easychair.org
Program Committee
Carlos Scheidegger, AT&T
Naoya Maruyama, RIKEN AICS
Felix Wolf, German Research School for Simulation Sciences
Matthias Mueller, RWTH Aachen University
Holger Brunst, ZIH / TU Dresden
Joshua Levine, Clemson University
Derek Wang, Charlotte Visualization Center, UNCC
Todd Gamblin, Lawrence Livermore National Laboratory
Hank Childs, University of Oregon
Markus Geimer, Jülich Supercomputing Centre
Judit Gimenez, Barcelona Supercomputing Center / Universitat Politècnica de Catalunya
Remco Chang, Tufts University