2023 Workshop on Programming and Performance Visualization Tools
Workshop website
Contact
E-mail: sc-ws-protools@info.supercomputing.org
Date and Location
November 12, 2023
Held in conjunction with SC23: The International Conference for High Performance Computing, Networking, Storage and Analysis St Louis, Missouri, USA
Sponsors:
Description
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.
Topics
- 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
Program
The workshop program can be found on the main workshop website.
Organizing committee
David Böhme, Lawrence Livermore National Laboratory, USA
Anthony Danalis, University of Tennessee, Knoxville, USA
Josef Weidendorfer, Leibniz Supercomputing Centre, Munich, Germany
Program committee
Jean-Baptiste Besnard, Paratools
Stephanie Brink, LLNL
Giuseppe Congiu, UTK
Takanori Fujiwara, Linköping University
Michael Gerndt, TU Munich
Judit Gimenez, BSC
Kevin Huck, University of Oregon
Kate Isaacs, SCI Utah
Heike Jagode, UTK
Andreas Knuepfer, TU Dresden
Radita Liem, RWTH Aachen
Jonathan Madsen, AMD
John Mellor-Crummey, Rice University
Carmen Navarrete, LRZ
Paul Rosen, University of South Florida
Martin Schulz, TU Munich
Nathan Tallent, PNNL
Ahmad Tarraf, TU Darmstadt
Brian J.N. Wylie, FZ Juelich
