The SEANERGYS consortium strives for open access in all scientific publications related to the project. Here you can find an overview of our publications.
Papers
Farooq, E.;Milano, M.;Borghesi, A.: Federated transfer learning for anomaly detection in HPC systems: First real-world validation on a tier-0 supercomputer
In: Expert Systems with Applications, Volume 298, Part C, 2026, Pergamon, UK.
Farooq, E.;Milano, M.;Borghesi, A.: Federated LSTM Autoencoders for Time Series Anomaly Detection in Production-Scale HPC Systems
In: Knowledge-Based Systems, Volume 334, 2026, Elsevier, Netherlands.
Antici, F.; Borghesi, A.; Kiziltan, Z.; Domke, J.; Bartolini, A.: An online algorithm for power consumption prediction of HPC workload,
In: Future Generation Computer Systems, Volume 175, 2026, Elsevier, Netherlands.
Vanecek, S.; Mußbacher, M.W.; Größler, D.; Saroliya, U.; Schulz, M.: MT4G: A Tool for Reliable Auto-Discovery of NVIDIA and AMD GPU Compute and Memory Topologies
In: Proceedings of the SC ’25 Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC Workshops ’25). Association for Computing Machinery, New York, NY, USA.
Tsoukleidis-Karydakis, A., Karapanagiotis, E., Triantafyllis, N., Koziris, N., Goumas, G. (2026). Performance Models to Support HPC Co-scheduling
In: Klusáček, D., Corbalán, J., Rodrigo, G.P. (eds) Job Scheduling Strategies for Parallel Processing. JSSPP 2025. Lecture Notes in Computer Science, vol 16210. Springer, Cham.
Karapanagiotis, E., Triantafyllis, N., Tsoukleidis-Karydakis, A., Goumas, G., Koziris, N. (2026). ELiSE: A Tool to Support Algorithmic Design for HPC Co-scheduling
In: Klusáček, D., Corbalán, J., Rodrigo, G.P. (eds) Job Scheduling Strategies for Parallel Processing. JSSPP 2025. Lecture Notes in Computer Science, vol 16210. Springer, Cham.
Seyedkazemi Ardebili, M.; Acquaviva, A.; Benini, L.; Bartolini, A.: Elevating Datacenter Resilience with ThermADNet: A Thermal Anomaly Detection System
In: Future Generation Computer Systems, Volume 179, 2026.
Katsikopoulos, K., Triantafyllis, N., Tsoukleidis-Karydakis, A., Karapanagiotis, E., Koziris, N., & Goumas, G. (2026). A Framework for Developing Next-Generation HPC Schedulers (Version 1)
Presentations
The SEANERGYS consortium actively engages in conferences, workshops, and related events to exchange knowledge, foster collaboration, and explore innovative concepts and ideas.
Here, you’ll find a selection of presentations from these engagements.
Hoppe, H.-Ch.: SEANERGYS Towards Energy Efficient Operation of HPC and AI Supercomputers
Presentation from Nov 19, 2025 in the Birds of a feather session “Where could Europe add value?” at Supercomputing 2025, St. Louis, USA.
Narasimhamurthy, S.: Towards Energy Efficient Computing: Challenges, Innovations & Synergies
Presentation from Jan 26, 2026 in the Workshop “Towards Energy Efficient Computing: Challenges, Innovations & Synergies” at HiPEAC Conference 2026, Krakow, Poland.
Hoppe, H.-Ch.: SEANERGYS Status and Outlook
Presentation from Jun 24, 2026 at the EuroHPC booth at ISC 2026, Hamburg, Germany.