SEANERGYS: Integrating Monitoring, Analytics, and Resource Management for Energy-efficient HPC System Operations

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Invited › peer-review

Contributors

  • Estela Suarez - , Jülich Research Centre, University of Bonn (Author)
  • Andrea Borghesi - , University of Bologna (Author)
  • Sonja Happ - , ParTec AG (Author)
  • Hans-Christian Hoppe - , Jülich Research Centre (Author)
  • Michael Ott - , Leibniz Supercomputing Centre (Author)
  • Simon Pickartz - , ParTec AG (Author)
  • Martin Schulz - , Technical University of Munich (Author)
  • Hannes Troepgen - , Center for Information Services and High Performance Computing (ZIH) (Author)

Abstract

SEANERGYS is an EuroHPC JU project developing an integrated software suite to optimize the operation of HPC systems, aiming to reduce energy consumption across real-world workload mixes. Additional objectives include optimizing resource utilization, enhancing system throughput, and minimizing response times. This paper introduces the overall SEANERGYS software architecture, covering its three main elements (monitoring, AI data analytics, and dynamic scheduling and resource management) leveraging a central data plane to connect them.

Details

Original languageEnglish
Title of host publicationProceedings of the 23rd ACM International Conference on Computing Frontiers 2026 Workshops and Special Sessions, CF 2026 Companion
EditorsHubertus Franke, Maurizio Palesi, Ruben Salvador, Estela Suarez
Pages172-175
Number of pages4
ISBN (electronic)979-8-4007-2569-2
Publication statusPublished - 19 May 2026
Peer-reviewedYes

External IDs

Scopus 105045253786

Keywords

Sustainable Development Goals

ASJC Scopus subject areas

Keywords

  • HPC, energy-efficiency, operational data analytics, resource management, system monitoring, system software