[hpc-announce] CfP: International Workshop on Visual Analytics in Supercomputing and Performance Engineering (VAPSE 2019)

Bhatele, Abhinav bhatele1 at llnl.gov
Mon Dec 10 10:54:12 CST 2018

                         Call for Papers

    International Workshop on Visual Analytics in Supercomputing and
                Performance Engineering (VAPSE 2019)
                  Held in conjunction with ICPE 2019:
    10th ACM/SPEC International Conference on Performance Engineering

                      Mumbai, India
                    April 7-11, 2019


         Submission Deadline: January 7, 2019

Both high performance computing (HPC) and performance engineering (PE) experts
are facing the challenge of analyzing, comparing, visualizing, and reasoning
about ever increasing volumes of performance-related data. While HPC typically
deals with massively parallel simulation codes being executed on
supercomputers, PE focuses on distributed, reliable software systems.  Due to
the scale of performance-related data and the open-ended nature of analyzing
it, visualization (VIS) and data analytics are often the only feasible tools to
comprehend, debug, and improve the performance behavior of systems and/or
codes. This is becoming ever more important, since the scale of
performance-related data keeps rapidly growing. However the research
communities in HPC, PE, and VIS are mostly disjunct.  VASPE '19 aims at
gathering experts from (i) the HPC community, (ii) the PE community, and (iii)
the VIS community in order to breed cross-community algorithms, techniques, and
systems for analyzing and visualizing performance-related data.

Workshop Topics:

Topics include, but are not limited to:
* 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
* Data analytics of historical performance data
* Machine learning or statistical techniques for data exploration

Paper Submission:

We solicit 6–8 page full papers and 2–4 page short papers that focus on
techniques at the intersection of the three communities HPC, PE, and VIS that
either use visualization techniques to display large scale performance data or
that develop new visualization or visual analytics methods that help create new
insights. We welcome submissions presenting novel and experimental ideas as
well as tool descriptions.

Papers must be submitted as a PDF file in the ACM Standard proceedings format,
and formatted for 8.5" x 11" (U.S. Letter). The 4-page and 8-page limits
include figures, tables, and references.  Papers will be peer-reviewed by
members of the program committee and accepted papers will be published by ACM
as part of ICPE 2019 proceedings.  Accepted papers will also be presented
during the workshop as a paper talk (~20 min) or a lightning presentation (~10
min).  All papers must be submitted through EasyChair.

All papers must be submitted through easychair:

Important Dates:

* Submission deadline: Januart 7, 2019 (AoE)
* Notification of acceptance: February 1, 2019 (AoE)
* Camera-ready deadline: February 15, 2019 (AoE)
* Workshop: TBD, one day between 6th and 12th April 2019

Workshop Chairs:

Alexandre Bergel, University of Chile
Abhinav Bhatele, Lawrence Livermore National Laboratory
Tom Vierjahn, Westphalian University of Applied Sciences

Contact: vaspe at googlegroups.com

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