[hpc-announce] CFP: 5th Workshop on Visual Performance Analysis (VPA18) at SC18

[Kate Isaacs]

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                            Call for Papers

   Fifth International Workshop on Visual Performance Analysis (VPA18)
                     Held in conjunction with SC18:
      The International Conference on High Performance Computing,
                    Networking, Storage and Analysis

                         Dallas, TX, USA
               November 11, 2018 (Sunday)

                        https://vpa18.github.io

            Submission Deadline: August 6, 2018
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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
- Case studies demonstrating the use of performance visualization in practice
- 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 8-page full papers as well as 4-page short papers or position papers
that focus on techniques OR case studies at the intersection of
performance analysis
and visualization, 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.

Papers must be submitted in PDF format (readable by Adobe Acrobat Reader 5.0
and higher) and formatted for 8.5" x 11" (U.S. Letter). Submissions are limited
to 8 pages in the IEEE
format (https://www.ieee.org/conferences/publishing/templates.html), using the
sample-sigconf template. The 8-page limit includes figures, tables, and
references.

All papers must be submitted through the Supercomputing 2018 Linklings site:
http://submissions.supercomputing.org


Important Dates:

* Submission deadline: August 6, 2018. (AoE)
* Notification of acceptance: September 17, 2018 (AoE)
* Camera-ready deadline: October 8, 2018 (AoE)


Workshop Chairs:

Abhinav Bhatele, Lawrence Livermore National Laboratory
Kevin Huck, University of Oregon
Kate Isaacs, University of Arizona