The energy consumption of HPC data centers is a decisive factor in the procurement and operation of the systems. EE-HPC achieves a more efficient energy use of HPC systems by targeted job-specific control and optimization of the hardware configuration as well as of settings of the runtime environments.
The aim of the project is the automated optimization of the energy efficiency of HPC systems. An innovative monitoring system is to contribute to reducing energy consumption while simultaneously increasing computing performance. This goal is to be achieved by new software-based control mechanisms of system parameters. The adjustment of system parameters, such as the utilization of computing nodes, is to take place automatically. A monitoring software coupled with a novel user interface shall provide the user with a transparent platform to also decide on the energy efficiency part of the computing load. This holistic approach ensures flexible and broad use for a wide range of applications.
Project duration: 09/2022 - 08/2025
EE-HPC is funded by BMBF Germany under the funding program Hoch- und Höchstleistungsrechnen für das digitale Zeitalter 2021-2024 – Forschung und Investitionen zum High-Performance Computing, Call Richtlinie zur Förderung von Verbundprojekten auf dem Gebiet des energieeffizienten High-Performance Computings (GreenHPC)
Grant 16ME0583K