SEANERGYS

SEANERGYS aims to create an integrated European software solution that optimises resource utilisation and reduces the energy used for real-world workload mixes.

By improving how energy is monitored, managed, and used in supercomputing, the project is helping to reinforce the European commitment to sustainability while making progress on long-term benefits across scientific research, industrial innovation, and societal advancement.

SEANERGYS plans to reach these objectives with the use of three tightly integrated components: a comprehensive monitoring infrastructure (CMI), an Artificial Intelligence data analytics system (AIDAS), and a dynamic scheduling and resource management system (DSRM).

The CMI gathers data from hardware and software sensors, and correlates it with scheduler information to identify jobs that do not fully utilize allocated resources. Users receive automatic feedback on energy and resource use for each run, plus information on how to optimize these. The AIDAS leverages AI models trained with a vast set of operational data of the participating HPC sites. It fingerprints resource usage patterns, predicts future job behaviour, and identifies complementary job profiles for potential co-scheduling. Finally, the DSRM utilizes these insights to develop scheduling policies that maximize resource utilization and energy efficiency, and supports jobs/applications with dynamic and adaptable resource profiles.

The project is connected and builds upon the results of following previous EuroHPC JU-funded projects, namely DEEP projects, REGALE, EUPEX, EUPILOT, CoE MaX3, CoE SPACE, CoE POP3, and SCALABLE.