[hpc-announce] Final Cfp: ProTools 2020 @ SC20 (Deadline extended to: Sept 10, 2020)

[Abhinav Bhatele]

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                                Call for Papers
  Workshop on Programming and Performance Visualization Tools (ProTools 20)
          Held in conjunction with SC20, in cooperation with TCHPC.
                                   Fully Virtual
              November 12, 2020 2:30-6:30 pm Eastern US Time
                       https://protools20.github.io
                   Submission Deadline: September 10, 2020
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Understanding program behavior is critical to overcome the expected
architectural and programming complexities, such as limited power budgets,
heterogeneity, hierarchical memories, shrinking I/O bandwidths, and
performance
variability, that arise on modern HPC platforms. To do so, HPC software
developers need intuitive support tools for debugging, performance
measurement,
analysis, and tuning of large-scale HPC applications. Moreover, data
collected
from these tools such as hardware counters, communication traces, and
network
traffic can be far too large and too complex to be analyzed in a
straightforward manner. We need new automatic analysis and visualization
approaches to help application developers intuitively understand the
multiple,
interdependent effects that algorithmic choices have on application
correctness
or performance. The ProTools workshop combines two prior SC workshops: the
Workshop on Visual Performance Analytics (VPA) and the Workshop on
Extreme-Scale Programming Tools (ESPT).

The Workshop on Programming and Performance Visualization Tools (ProTools)
intends to bring together HPC application developers, tool developers, and
researchers from the visualization, performance, and program analysis fields
for an exchange of new approaches to assist developers in analyzing,
understanding, and optimizing programs for extreme-scale platforms.

Workshop Topics:

Topics include, but are not limited to:
* Performance tools for scalable parallel platforms
* Debugging and correctness tools for parallel programming paradigms
* Scalable displays of performance data
* Case studies demonstrating the use of performance visualization in
practice
* Program development tool chains (incl. IDEs) for parallel systems
* Methodologies for performance engineering
* Data models to enable scalable visualization
* Graph representation of unstructured performance data
* Tool technologies for extreme-scale challenges (e.g., scalability,
resilience, power)
* Tool support for accelerated architectures and large-scale multi-cores
* Presentation of high-dimensional data
* Visual correlations between multiple data source
* Measurement and optimization tools for networks and I/O
* Tool infrastructures and environments
* Human-Computer Interfaces for exploring performance data
* Multi-scale representations of performance data for visual exploration
* Application developer experiences with programming and performance tools

Paper Submission:

We solicit papers that focus on performance, debugging, and correctness
tools
for parallel programming paradigms as well as techniques and case studies at
the intersection of performance analysis and visualization.

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 should
be a
minimum of 6 pages and a maximum of 10 pages in the IEEE Conference format
(https://www.ieee.org/conferences/publishing/templates.html). The 10-page
limit
includes figures, and tables, and references.

All papers must be submitted through the Supercomputing 2020 Linklings site:
http://submissions.supercomputing.org

Important Dates:

* Submission deadline (extended): September 10, 2020 (AoE)
* Notification of acceptance: September 28, 2020 (AoE)
* Camera-ready deadline: October 7, 2020 (AoE)
* Workshop: November 16, 2020 (2:00-5:30 pm)

Workshop Chairs:

Abhinav Bhatele, University of Maryland, College Park, USA
David Boehme, Lawrence Livermore National Laboratory, USA
Markus Geimer, Jülich Supercomputing Centre, Germany
Andreas Knüpfer, ZIH, Technical University Dresden, Germany


-- 
Abhinav Bhatele, cs.umd.edu/~bhatele
Department of Computer Science, University of Maryland, College Park