3 papers
cs.AI2026
SeT-Diff: Towards Semantic Foundation Models for HPC Telemetry and Time-Series
Giovanni B. Esposito, Francesco Antici, Daniele Cesarini +1
Data centers and their compute nodes require accurate and flexible digital twins capable of modeling the complex interplay of workloads, environmental parameters, and physical metr…
cs.AI2026
SweetSpot: An Analytical Model for Predicting Energy Efficiency of LLM Inference
Hiari Pizzini Cavagna, Andrea Proia, Giacomo Madella +5
Large Language Models (LLMs) inference is central to modern AI applications, dominating worldwide datacenter workloads, making it critical to predict its energy footprint. Existing…
cs.DC2023
Online Job Failure Prediction in an HPC System
Francesco Antici, Andrea Borghesi, Zeynep Kiziltan
Modern High Performance Computing (HPC) systems are complex machines, with major impacts on economy and society. Along with their computational capability, their energy consumption…