Energy Efficiency Analysis and Optimization for Present and Future HPC Systems

The abstract provides a high-level overview, but the talk will be introduced in an accessible way depending on the audience.

Abstract:
This talk is split into a summary of the work at DKRZ on the energy efficiency of the present supercomputer Levante and first insights from testing modular climate simulations on state-of-the-art hardware. A first overview covers job performance monitoring, energy measurement infrastructure and identified tuning options. Significant improvements on energy efficiency were already deployed based on both, systematic benchmarking of characteristic workloads and investigation of idle node configurations. Secondly, first results on analyzing the potential of executing functional units of modular simulations on their most suitable hardware in a heterogeneous cluster are shown. Modules of the climate simulation ICON are first benchmarked individually to be ultimately coupled again and distributed to their most energy efficient platform.

Speaker:
Pay Giesselmann works as a research software engineer at the German
climate compute center Hamburg. After receiving a master's degree in
electrical engineering and defending his PhD in bioinformatics he
switched gears and is now responsible for monitoring and improving the
energy efficiency of the supercomputer Levante.

This event is hosted by the Green IT AG of the University of Hamburg as part of the Green Software Hamburg meetup series.