SEANERGYS creates an integrated European software solution that optimises resource utilisation and reduces the energy used for real-world workload mixes. It therefore improves the throughput of HPC systems, generating more R&D results for a given energy budget. The solution consists of 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 DAIS 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 SEANERGYS project is connected and builds upon the results of following previous European projects:

• DEEP projects (DEEP, DEEP-ER, DEEP-EST, DEEP-SEA) and SEA projects. This project builds upon the results achieved in the series of DEEP and SEA projects and it will further develop their technologies and concepts.

• REGALE defines an open architecture, builds a prototype system and incorporates in this system appropriate sophistication in order to equip supercomputing systems with the mechanisms and policies for effective resource utilization and execution of complex applications.

• EUPEX: The EUPEX Pilot System will integrate different European technologies – hardware and software wise – in particular SiPearl’s Rhea processor.

• EUPILOT: The focus of the EUPILOT project is on developing a set of accelerators based on open standards and European technology.

• CoE MaX3, CoE SPACE, CoE POP3, and SCALABLE: project focused on performance and energy efficiency optimisation of leading European parallel applications using a runtime systems developed in this projects.