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<div>==========================================================================</div>
<div> Call for Papers</div>
<div><br>
</div>
<div> 2st Workshop on Visual Performance Analysis (VPA)</div>
<div> Held in conjunction with SC15:</div>
<div> The International Conference on High Performance Computing,</div>
<div> Networking, Storage and Analysis</div>
<div><br>
</div>
<div> Austin, TX, USA</div>
<div> November 20, 2015</div>
<div><br>
</div>
<div> <a href="http://cedmav.org/events/vpa-2015.html">http://cedmav.org/events/vpa-2015.html</a></div>
<div><br>
</div>
<div> Submission Deadline: July 27, 2015</div>
<div>==========================================================================</div>
<div><br>
</div>
<div>Over the last decades an incredible amount of resources has been devoted</div>
<div>to building ever more powerful supercomputers. However, exploiting the</div>
<div>full capabilities of these machines is becoming exponentially more</div>
<div>difficult with each new generation of hardware. To help understand and</div>
<div>optimize the behavior of massively parallel simulations the performance</div>
<div>analysis community has created a wide range of tools and APIs to collect</div>
<div>performance data, such as flop counts, network traffic or cache behavior</div>
<div>at the largest scale. However, this success has created a new challenge,</div>
<div>as the resulting data is far too large and too complex to be analyzed in</div>
<div>a straightforward manner. Therefore, new automatic analysis approaches</div>
<div>must be developed to allow application developers to intuitively</div>
<div>understand the multiple, interdependent effects that their algorithmic</div>
<div>choices have on the final performance.</div>
<div><br>
</div>
<div>This workshop will bring together researchers and practitioners from the</div>
<div>areas of performance analysis, application optimization, visualization,</div>
<div>and data analysis and provide a forum to discuss novel ideas on how to</div>
<div>improve performance understanding, analysis and optimization through</div>
<div>novel techniques in scientific and information visualization.</div>
<div><br>
</div>
<div><br>
</div>
<div>Workshop Topics:</div>
<div><br>
</div>
<div>- Scalable displays of performance data</div>
<div>- Interactive visualization of performance data</div>
<div>- Data models to enable data analysis and visualization</div>
<div>- Graph representation of unstructured performance data</div>
<div>- Collection and representation of meta data to enable fine</div>
<div> grained attribution</div>
<div>- Message trace visualization</div>
<div>- Memory and network traffic visualization</div>
<div>- Representation of hardware architectures</div>
<div><br>
</div>
<div><br>
</div>
<div>Paper Submission:</div>
<div><br>
</div>
<div>We solicit two types of papers both covering original and previously</div>
<div>unpublished ideas: 8 page regular papers and 4 page position papers.</div>
<div>To be considered, your manuscript should be formatted according to</div>
<div>the double-column IEEE format for Conference Proceedings (IEEEtran</div>
<div>LaTeX Class (template) V1.8 packages and IEEEtran V1.12 BibTeX</div>
<div>(bibliography)). Margins and font sizes should not be modified. The</div>
<div>templates for "IEEEtran LaTeX Class (template) V1.8 packages and</div>
<div>IEEEtran V1.12 BibTeX (bibliography)" can be found at</div>
<div><br>
</div>
<div><a href="http://www.ieee.org/conferences_events/conferences/publishing/templates.htm">http://www.ieee.org/conferences_events/conferences/publishing/templates.htm</a></div>
<div>l</div>
<div><br>
</div>
<div>All papers must be submitted through Easychair at:</div>
<div><br>
</div>
<div><a href="https://easychair.org/conferences/?conf=vpa2015">https://easychair.org/conferences/?conf=vpa2015</a></div>
<div><br>
</div>
<div>Important Dates</div>
<div><br>
</div>
<div>- July 28th: submission deadline for full papers</div>
<div>- September 8th: notification of acceptance</div>
<div>- October 5th: final paper and copyrights due</div>
<div><br>
</div>
<div><br>
</div>
<div>Workshop Organizers</div>
<div><br>
</div>
<div>- Peer-Timo Bremer, Lawrence Livermore National Laboratory</div>
<div>- Bernd Mohr, Jülich Supercomputing Centre</div>
<div>- Valerio Pascucci, University of Utah</div>
<div>- Martin Schulz, Lawrence Livermore National Laboratory</div>
<div><br>
</div>
<div><br>
</div>
<div>Contact</div>
<div><br>
</div>
<div>- <a href="mailto:vpa15@easychair.org">vpa15@easychair.org</a></div>
<div><br>
</div>
<div><br>
</div>
<div>Program Committee</div>
<div><br>
</div>
<div>* Holger Brunst, ZIH / TU Dresden</div>
<div>* Remco Chang, Tufts University</div>
<div>* Hank Childs, University of Oregon</div>
<div>* Karl Fuerlinger, Ludwig Maximilians Universitaet</div>
<div>* Todd Gamblin, Lawrence Livermore National Laboratory</div>
<div>* Marc-Andre Hermanns, Jülich Supercomputing Centre</div>
<div>* Judit Gimenez, Barcelona Supercomputing Center / Universitat Politècnica de Catalunya</div>
<div>* Kevin Huck, University of Oregon</div>
<div>* Daniel Keim, Universitaet Konstanz</div>
<div>* Joshua Levine, Clemson University</div>
<div>* Naoya Maruyama, RIKEN AICS</div>
<div>* John Mellor-Crummey, Rice University</div>
<div>* Klaus Mueller, Stonybrook</div>
<div>* Matthias Mueller, RWTH Aachen University</div>
<div>* Paul Rosen, University of Utah</div>
<div>* Carlos Scheidegger, University of Arizona</div>
<div>* Derek Xiaoyu Wang, UNC Charlotte</div>
<div>* Felix Wolf, German Research School for Simulation Sciences</div>
</div>
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