Introduction

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.

Call for paper

Important date

2016-08-15
Draft paper submission deadline

Submission 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

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Important Date
  • Nov 18

    2016

    Conference Date

  • Aug 15 2016

    Draft paper submission deadline

  • Nov 18 2016

    Registration deadline