[hpc-announce] Call for Papers: ProTools 2021
Boehme, David
boehme3 at llnl.gov
Mon Jul 5 11:44:58 CDT 2021
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Call for Papers: ProTools 2021
Workshop on Programming and Performance Visualization Tools
Held in conjunction with SC21, in cooperation with TCHPC.
St. Louis, MO, USA
November 14, 2021
https://protools21.github.io<https://urldefense.us/v3/__https:/protools21.github.io__;!!G2kpM7uM-TzIFchu!n1MvAE7DcS28hi2C9VLtCZhTuB3ni5fbYEW0wtjBgeEzIJ1R8yPC55vIktUzG_bw$>
Submission Deadline: August 20, 2021
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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 Workshop on Programming and Performance Visualization Tools (ProTools)
brings 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
* Scalable displays of performance data
* Debugging and correctness tools for parallel programming paradigms
* 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<https://urldefense.us/v3/__https:/www.ieee.org/conferences/publishing/templates.html__;!!G2kpM7uM-TzIFchu!n1MvAE7DcS28hi2C9VLtCZhTuB3ni5fbYEW0wtjBgeEzIJ1R8yPC55vIkhFNyMZS$>). The 10-page limit
includes figures, and tables, and references.
Please submit papers through the Supercomputing 2021 Linklings site:
https://submissions.supercomputing.org<https://urldefense.us/v3/__https:/submissions.supercomputing.org__;!!G2kpM7uM-TzIFchu!n1MvAE7DcS28hi2C9VLtCZhTuB3ni5fbYEW0wtjBgeEzIJ1R8yPC55vIksJL5_R8$>
Important Dates:
* Submission deadline: August 2021, 2021 (AoE)
* Notification of acceptance: September 24, 2021 (AoE)
* Camera-ready deadline: October 8, 2021 (AoE)
* Workshop: November 14, 2021 (9:00-5:30 pm)
Workshop Chairs:
Abhinav Bhatele, University of Maryland, College Park, USA
David Boehme, Lawrence Livermore National Laboratory, USA
Anthony Danalis, University of Tennessee, Knoxville, USA
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