AK02 - Leveraging HPC Performance Engineering to Support Exascale Scientific Discovery
DescriptionHPC applications are evolving not only to include traditional modeling and simulation bulk-synchronous scale-up workloads but also scale-out workloads including: artificial intelligence, big data analytics, deep learning, and complex workflows. Given the ever-growing complexity of supercomputers and the advent of exascale computing, these trends can create a gap between expected and observed peak performance. Therefore, performance engineering is critical to bridge this gap through reproducible benchmarking, prediction, optimization, and analysis of large-scale HPC workloads. In this talk, I will highlight the challenges and opportunities in leveraging modular HPC performance engineering to support exascale scientific discovery. This will include introducing the key pillars of performance engineering such as user-friendly tool infrastructures, performance modeling, automatic optimization through integration into the application/system lifecycle, and feedback and user engagement.
TimeWednesday, June 289:30 - 10:00 CEST
Dr. Sarah Neuwirth is the deputy group leader of the Modular Supercomputing and Quantum Computing Group at Goethe University Frankfurt, Germany. In 2018, Sarah was awarded her Ph.D. in Computer Science from Heidelberg University, Germany. She was honored with the "ZONTA Science Award 2019" for her outstanding dissertation. Her research focuses on parallel file systems, modular supercomputing, performance engineering, high performance networks, benchmarking, parallel I/O, and communication protocols. Sarah has worked on numerous research collaborations including working with: Jülich Supercomputing Centre, BITS Pilani, ParTec, CEA, Intel, Oak Ridge National Laboratory, and Virginia Tech.