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<div>Based on numerous request the deadline for VPA has been EXTENDED to </div>
<div><br>
</div>
<div>AUGUST 8th 2014 </div>
<div><br>
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<br>
<div>==========================================================================<br>
Call for Papers<br>
<font color="#0f61c8"><br>
</font> 1st Workshop on Visual Performance Analysis (VPA)<br>
Held in conjunction with SC14:<br>
The International Conference on High Performance Computing,<br>
Networking, Storage and Analysis<br>
<font color="#0f61c8"><br>
</font> New Orleans, LA, USA<br>
November 21, 2014<br>
<font color="#0f61c8"><br>
</font> <a href="http://cedmav.org/vpa2014">http://cedmav.org/vpa2014</a><br>
<font color="#0f61c8"><br>
</font> UPDATED Submission Deadline: August 8th, 2014<br>
==========================================================================<br>
<font color="#0f61c8"><br>
</font>Over the last decades an incredible amount of resources has been devoted<br>
to building ever more powerful supercomputers. However, exploiting the<br>
full capabilities of these machines is becoming exponentially more<br>
difficult with each new generation of hardware. To help understand and<br>
optimize the behavior of massively parallel simulations the performance<br>
analysis community has created a wide range of tools and APIs to collect<br>
performance data, such as flop counts, network traffic or cache behavior<br>
at the largest scale. However, this success has created a new challenge,<br>
as the resulting data is far too large and too complex to be analyzed in<br>
a straightforward manner. Therefore, new automatic analysis approaches<br>
must be developed to allow application developers to intuitively<br>
understand the multiple, interdependent effects that their algorithmic<br>
choices have on the final performance.<br>
<font color="#0f61c8"><br>
</font>This workshop will bring together researchers and practitioners from the<br>
areas of performance analysis, application optimization, visualization,<br>
and data analysis and provide a forum to discuss novel ideas on how to<br>
improve performance understanding, analysis and optimization through<br>
novel techniques in scientific and information visualization.<br>
<font color="#0f61c8"><br>
<br>
</font>Workshop Topics:<br>
<font color="#0f61c8"><br>
</font>- Scalable displays of performance data<br>
- Interactive visualization of performance data<br>
- Data models to enable data analysis and visualization<br>
- Graph representation of unstructured performance data<br>
- Collection and representation of meta data to enable fine<br>
grained attribution<br>
- Message trace visualization<br>
- Memory and network traffic visualization<br>
- Representation of hardware architectures<br>
<font color="#0f61c8"><br>
<br>
</font>Paper Submission:<br>
<font color="#0f61c8"><br>
</font>We solicit two types of papers both covering original and previously<br>
unpublished ideas: 8 page regular papers and 4 page position papers.<br>
To be considered, your manuscript should be formatted according to<br>
the double-column IEEE format for Conference Proceedings (IEEEtran<br>
LaTeX Class (template) V1.8 packages and IEEEtran V1.12 BibTeX<br>
(bibliography)). Margins and font sizes should not be modified. The<br>
templates for "IEEEtran LaTeX Class (template) V1.8 packages and<br>
IEEEtran V1.12 BibTeX (bibliography)" can be found at<br>
<font color="#0f61c8"><br>
</font><a href="http://www.ieee.org/conferences_events/conferences/publishing/templates.htm">http://www.ieee.org/conferences_events/conferences/publishing/templates.htm</a><br>
l<br>
<font color="#0f61c8"><br>
</font>All papers must be submitted through Easychair at:<br>
<font color="#0f61c8"><br>
</font><a href="https://www.easychair.org/conferences/?conf=vpa14">https://www.easychair.org/conferences/?conf=vpa14</a><br>
<font color="#0f61c8"><br>
<br>
</font>Important Dates<br>
<font color="#0f61c8"><br>
</font>- July 28th: submission deadline for full papers<br>
- September 15th: notification of acceptance<br>
- October 6th: final paper and copyrights due<br>
<font color="#0f61c8"><br>
<br>
</font>Workshop Organizers<br>
<font color="#0f61c8"><br>
</font>- Peer-Timo Bremer, Lawrence Livermore National Laboratory<br>
- Bernd Mohr, Jülich Supercomputing Centre<br>
- Valerio Pascucci, University of Utah<br>
- Martin Schulz, Lawrence Livermore National Laboratory<br>
<font color="#0f61c8"><br>
<br>
</font>Contact<br>
<font color="#0f61c8"><br>
</font>- <a href="mailto:vpa14@easychair.org">vpa14@easychair.org</a><br>
<font color="#0f61c8"><br>
<br>
</font>Program Committee<br>
<font color="#0f61c8"><br>
</font>- Carlos Scheidegger, AT&T<br>
- Naoya Maruyama, RIKEN AICS<br>
- Felix Wolf, German Research School for Simulation Sciences<br>
- Matthias Mueller, RWTH Aachen University<br>
- Holger Brunst, ZIH / TU Dresden<br>
- Joshua Levine, Clemson University<br>
- Derek Wang, Charlotte Visualization Center, UNCC<br>
- Todd Gamblin, Lawrence Livermore National Laboratory<br>
- Hank Childs, University of Oregon<br>
- Markus Geimer, Jülich Supercomputing Centre<br>
- Judit Gimenez, Barcelona Supercomputing Center<br>
Universitat Politècnica de Catalunya<br>
- Remco Chang, Tufts University<br>
<br>
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