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VPA 2015 : 2nd Workshop on Visual Performance Analysis (VPA) | |||||||||||||
Link: http://cedmav.org/events/vpa-2015.html | |||||||||||||
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Call For Papers | |||||||||||||
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Call for Papers 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 http://cedmav.org/events/vpa-2015.html EXTENDED Submission Deadline: August 5, 2015 ========================================================================== 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of hardware architectures Paper Submission: We solicit two types of papers both covering original and previously unpublished ideas: 8 page regular papers and 4 page position papers.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://easychair.org/conferences/?conf=vpa2015 Important Dates - Aug 5th: submission deadline for full papers - September 8th: notification of acceptance - October 5th: 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 - vpa15@easychair.org 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 |
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