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)
Antici, F.; Domke, J.; Bartolini, A.; Kiziltan, Z.; Matsuoka, S.: RoWD: Automated rogue workload detector for HPC security
In: Future Generation Computer Systems, Volume 180, July 2026.
Esposito, G.; Antici, F.; Cesarini, D.; Bartolini A.: SeT-Diff: Towards Semantic Foundation Models for HPC Telemetry and Time-Series
CF ’26: Proceedings of the 23rd ACM International Conference on Computing Frontiers
Pizzini Cavagna, H.; Proia, A.; Madella, G.; Esposito, G.; Antici, F.; Cesarini, D.; Kiziltan, Z.; Borghesi, A.: SweetSpot: An Analytical Model for Predicting Energy Efficiency of LLM Inference
ICPE ’26: Proceedings of the 17th ACM/SPEC International Conference on Performance Engineering.
Khan, J.; Molan, M.; Bartolini, A.: EXASAGE: The first data center operational data analysis assistant
In: Future Generation Computer Systems, Volume 176, March 2026
Antici, F.; Bartolini, A.; Domke, J.; Kiziltan, Z.; Yamamoto, K.: F-DATA: A Fugaku Workload Dataset for Job-centric Predictive Modelling in HPC Systems
In: Scientific Data, Volume 12, Article number: 1321 (2025)
Suarez, E.; Borghesi, A.; Happ, S.; Hoppe, H.-C.; Ott, M.; Pickartz, S.; Schulz, M.; Troepgen, H.: SEANERGYS: Integrating Monitoring, Analytics, and Resource Management for Energy-efficient HPC System Operations
CF ’26 Companion: Proceedings of the 23rd ACM International Conference on Computing Frontiers: Workshops and Special Sessions
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.