Sarah Neuwirth, Transforming HPC with Holistic Performance Engineering and the Pursuit of Reproducibility

HPC applications are evolving not only to include traditional modeling and simulation workloads but also so-called scale-out workloads, including artificial intelligence, big data analytics, deep learning, and complex workflows. Given the ever-increasing complexity of supercomputers and the emergence of exascale computing, these trends are leading to a widening gap between expected and observed peak performance. Therefore, holistic performance engineering is critical to bridge this gap through reproducible benchmarking, modeling, optimization, and analysis of large-scale HPC workloads.

This seminar will delve into innovative approaches to scale HPC performance engineering horizons and unlock the full potential of computational capabilities. Strategies for optimizing hardware and software utilization, identifying and mitigating performance bottlenecks, and implementing cutting-edge techniques to maximize scalability, efficiency, and productivity will be explored. Moreover, this talk will question to what extent reproducibility, replicability, comparability, and portability should influence the performance analysis cycle of workloads and supercomputing systems.

How to join online

You can join online via Zoom, using the following link:
https://uni-kl-de.zoom.us/j/63123116305?pwd=Yko3WU9ZblpGR3lGUkVTV1kzMCtUUT09

Referentin: Prof. Sarah Neuwirth, Johannes Gutenberg University of Mainz

Zeit: 11:00 Uhr

Ort: Hybrid (Room 32-349 and via Zoom)