[Ieee_vis] Reminder: CfP: 1st Workshop on Visual Performance Analysis (VPA) (deadline 7/28)

[Bremer, Timo]

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                            Call for Papers

            1st Workshop on Visual Performance Analysis (VPA)
                    Held in conjunction with SC14:
     The International Conference on High Performance Computing,
                   Networking, Storage and Analysis

                          New Orleans, LA, USA
                            November 21, 2014

                       http://cedmav.org/vpa2014

                  Submission Deadline: July 28, 2014
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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unpublished ideas: 8 page regular papers and 4 page position papers.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/publishing/templates.htm
l

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<mailto: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

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Peer-Timo Bremer
Project Lead
Center for Applied Scientific Computing
Lawrence Livermore National Laboratory
Associate Director of Research
Center for Extreme Data Management, Analysis, and Visualization
University of Utah
bremer5 at llnl.gov<mailto:bremer5 at llnl.gov>






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