Software for Efficient and Energy-Aware Supercomputers

Project Information

SEANERGYS

Grant agreement ID: 101177590

DOI

10.3030/101177590

EC signature date 18 June 2025

Start date 1 June 2025

End date 31 May 2029

Funded under

• Digital, Industry and Space

Total cost

€ 32 947 132,50

EU contribution

€ 16 473 566,30

Coordinated by

FORSCHUNGSZENTRUM JULICH GMBH
Germany

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Book chapters (3)

Performance Models to Support HPC Co-scheduling

Author(s): Athanasios Tsoukleidis-Karydakis, Efstratios Karapanagiotis, Nikolaos Triantafyllis, Nectarios Koziris, Georgios Goumas
Published in: Lecture Notes in Computer Science, Job Scheduling Strategies for Parallel Processing, 2026
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-032-10507-3_15

ELiSE: A Tool to Support Algorithmic Design for HPC Co-scheduling

Author(s): Efstratios Karapanagiotis, Nikolaos Triantafyllis, Athanasios Tsoukleidis-Karydakis, Georgios Goumas, Nectarios Koziris
Published in: Lecture Notes in Computer Science, Job Scheduling Strategies for Parallel Processing, 2026
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-032-10507-3_16

Duration-Informed Workload Scheduler

Author(s): Daniela Loreti, Davide Leone, Andrea Borghesi
Published in: Lecture Notes in Computer Science, High Performance Computing, 2025
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-032-07612-0_1

Peer reviewed articles (3)

Federated LSTM autoencoders for time series anomaly detection in production-scale HPC systems

Author(s): Emmen Farooq, Michela Milano, Andrea Borghesi
Published in: Knowledge-Based Systems, Issue 334, 2025, ISSN 0950-7051
Publisher: Elsevier BV
DOI: 10.1016/J.KNOSYS.2025.115043

Federated transfer learning for anomaly detection in HPC systems: First real-world validation on a tier-0 supercomputer

Author(s): Emmen Farooq, Michela Milano, Andrea Borghesi
Published in: Expert Systems with Applications, Issue 298, 2025, ISSN 0957-4174
Publisher: Elsevier BV
DOI: 10.1016/J.ESWA.2025.129754

An online algorithm for power consumption prediction of HPC workload

Author(s): Francesco Antici, Andrea Borghesi, Zeynep Kiziltan, Jens Domke, Andrea Bartolini
Published in: Future Generation Computer Systems, Issue 175, 2025, ISSN 0167-739X
Publisher: Elsevier BV
DOI: 10.1016/J.FUTURE.2025.108064

Conference proceedings (1)

MT4G: A Tool for Reliable Auto-Discovery of NVIDIA and AMD GPU Compute and Memory Topologies

Author(s): Stepan Vanecek, Manuel Walter Mußbacher, Dominik Größler, Urvij Saroliya, Martin Schulz
Published in: Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2025
Publisher: ACM
DOI: 10.1145/3731599.3767518