The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Moderator: Antigoni Georgiadou (Oak Ridge National Laboratory (ORNL)), Tiernan Casey (Sandia National Laboratories)
Panelists: Dan Lu (Oak Ridge National Laboratory (ORNL)), Peter Coveney (University College London (UCL)), Bronson Messer (Oak Ridge National Laboratory), Bill Rider (Sandia National Laboratories), Tushar Athawale (Oak Ridge National Laboratory (ORNL)), Thomas Schulthess (ETH Zürich / Swiss National Supercomputing Centre (CSCS))
Abstract: This panel will discuss the role of uncertainty in HPC from the perspective of predictive simulation and data-driven modeling, with a focus on future scientific workloads and interpretable AI for science. Why is treatment of uncertainty a necessity for robust prediction? What are the particular challenges and opportunities for probabilistic methods in ModSim at exascale? How can uncertainty quantification be a scaffold for scientific AI/ML, and what are the pitfalls? This discussion will lay the foundation for future work in HPC co-design at the interface of theory, software, and hardware optimization as we prepare for new paradigms of predictive modeling and simulation in the era of AI.
Website: https://events.ornl.gov/epsouqhpc2025/