2020 Workshop on Programming and Performance Visualization Tools
Workshop website
Contact
E-mail: sc-ws-protools@info.supercomputing.org
Date and Location
November 16, 2020
Held in conjunction with SC20: The International Conference for High Performance Computing, Networking, Storage and Analysis Atlanta, Georgia, 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
Abhinav Bhatele, University of Maryland, USA
David Böhme, Lawrence Livermore National Laboratory, USA
Markus Geimer, Jüich Supercomputing Centre, Germany
Andreas Knüpfer, TU Dresden, Germany
Program committee
Alexandru Calotoiu, TU Darmstadt, Germany
Allen Malony, University of Oregon, USA
Barton Miller, University of Wisconsin-Madison, USA
Brian J. N. Wylie, Juelich Supercomputing Centre, Germany
Gerhard Wellein, FAU, Germany
Heidi Poxon, Cray / Hewlett Packard Enterprise, USA
Holger Brunst, TU Dresden, Germany
Jean-Baptiste Besnard, Paratools, France
John Linford, ARM Ltd
Joshua A. Levine, University of Arizona, USA
Judit Gimenez, Barcelona Supercomputing Centre, Spain
Karl Fuerlinger, LMU Munich, Germany
Kate Isaacs, University of Arizona, USA
Kevin Huck, University of Oregon, USA
Martin Schulz, TU Munich, Germany
Michael Gerndt, TU Munich, Germany
Nathan Tallent, Pacific Northwest National Laboratory, USA
Paul Rosen, University of South Floriday, USA
Todd Gamblin, Lawrence Livermore National Laboratory, USA
