4th Workshop on Visual Performance Analysis (VPA)

Held in conjunction with SC17: The International Conference on High Performance Computing, Networking, Storage and Analysis

Denver, Colorado, USA

November, 2017

 

 

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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 and visualization 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 from the fields of performance analysis and visualization to discuss new approaches of applying visualization and visual analytics techniques to large scale applications.

 

Workshop Topics

  • Scalable displays of performance data
  • Data models to enable scalable visualization
  • Graph representation of unstructured performance data
  • Presentation of high-dimensional data
  • Visual correlations between multiple data source
  • Human-Computer Interfaces for exploring performance data
  • Multi-scale representations of performance data for visual exploration

 

Paper Submission

We solicit papers of up to 8 pages as well as 4 page short papers in standard ACM format that focus on techniques in the intersection of the two communities and either use visualization techniques to display large scale performance data or that develop new visualization or visual analytics methods that help create new insights.

 

Logistics

All logistics, including registration, hotel reservations, and visa requests, will be handled by SC17.

 

Important Dates

 

Schedule

 TBD

 

Workshop Organizers

  • Fabian Beck, University of Duisburg-Essen
  • Abhinav Bhatele, Lawrence Livermore National Laboratory
  • Judit Gimenez, Barcelona Supercomputing Center
  • Joshua Levine, University of Arizona

 

Contact

  • This email address is being protected from spambots. You need JavaScript enabled to view it.

 

Program Committee

  • TBD