All times are CEST.
| Time | Content | Slides |
|---|---|---|
| 09:00 – 09:05 | Opening | – |
| 09:05 – 09:55 | Keynote Presentation: The Past, Current, and Future of HPC ODA Woong Shin (Oak Ridge National Laboratory) | TBA |
| 09:55-10:20 | Paper Presentation: Automatic Workload Characterization on Production HPC Systems via Roofline Telemetry Bole Ma, Jan Eitzinger, Gerhard Wellein (Erlangen National High Performance Computing Center, Germany) | TBA |
| 10:20 – 10:45 | Paper Presentation: Pre-runtime GPU Power Quantile Forecasting from Submission-Time Job Artifacts Kevin Menear, Jazmin Green, Struan Clark, Sara Abril-Guevara, Olivia Hull, Weslley da Silva Pereira, Kristin Munch (National Laboratory of the Rockies, United States of America) | TBA |
| 10:45 – 11:00 | Invited Talk: Data-Driven Orchestration: Leveraging Resource Utilization Models for Efficient Management in Traditional Scientific and AI/ML Computing Environments Jim Brandt (Sandia National Laboratories, United States of America) | TBA |
| 11:00 – 11:30 | Coffee Break | – |
| 11:30 – 11:55 | Paper Presentation: Evaluating Forecasting Techniques for Hardware Errors on a Large-scale HPC System Kaiyuan Liao, Xiwei Xuan, Tanwi Mallick (University of California, Davis, United States of America), Kevin Brown (Argonne National Laboratory, United States of America) | TBA |
| 11:55 – 12:20 | Paper Presentation: Centralised Dashboard for Continuous Benchmarking: From HPC Clusters to Quantum Processors Filipe Guimaraes, Ashwin Kumar Karnad, Pit Steinbach, Thomas Breuer, Jhon Alejandro Montanez Barrera, Carlos Daniel Gonzalez Calaza, Wolfgang Frings (Forschungszentrum Jülich, Germany) | TBA |
| 12:20 – 12:45 | Paper Presentation: Enhancing Security in HPC Systems: A Clustering Approach for Filtering Weak Signals Laetitia Anton-Croquelois, Sophie Willemot, Ludovic Mustiere, Sebastien Gougeaud (CEA, France) | TBA |
| 12:45 – 13:00 | Closing | – |
Keynote by Woong Shin
Oak Ridge National Laboratory (ORNL)
The Past, Current, and Future of HPC ODA
Abstract: Operational Data Analytics (ODA) is rapidly becoming a cornerstone of HPC operations, essential for tackling challenges such as energy efficiency, sustainability, and system resilience. However, despite advancements, ODA is far from a solved problem. The sheer scale and complexity of modern supercomputers demand breakthroughs in data collection, analytics, and AI/ML applications to transform raw telemetry into actionable intelligence. Drawing from years of experience spanning multiple supercomputing generations, this talk will explore the evolution of ODA, from its early roots in monitoring to its expanding role in predictive and prescriptive analytics. I will highlight key obstacles, lessons learned, and emerging opportunities, emphasizing that ODA is not merely an auxiliary function but a critical enabler of future HPC success. This keynote will serve as a call to action for the community to invest in ODA innovation, ensuring that HPC remains efficient, adaptive, and ready for the challenges ahead.
Bio: Woong Shin (Ph.D.) is an HPC systems engineer and a computer scientist in the Analytics & AI Methods at Scale (AAIMS) Group at Oak Ridge National Laboratory (ORNL). He is involved in R&D and engineering activities around designing and improving system software & system architectures for HPC systems. Currently he is working as the technical lead in developing and maintaining operational data analytics systems that provide near-real time and long term insights for the Oak Ridge Leadership Computing Facility. Woong started his career as a software engineer in the enterprise sector, working for Samsung & TmaxSoft (South Korea) in the business of developing monitoring systems and business intelligence systems. Later in career, he pursued academic training in system software, distributed systems, and computer architecture specialized in NVRAM based storage systems. He joined ORNL in 2017. He received his Ph.D. degree in electrical engineering and computer science (M.S. and Ph.D. integrated course) in 2017 from Seoul National University, South Korea. He earned his B.S. in computer science in 2003 from Korea University, South Korea.