RUAD: unsupervised anomaly detection in HPC systems

no code implementations • 28 Aug 2022 • Martin Molan, Andrea Borghesi, Daniele Cesarini, Luca Benini, Andrea Bartolini

However, current state-of-the-art (SoA) approaches to anomaly detection are supervised and semi-supervised, so they require a human-labelled dataset with anomalies - this is often impractical to collect in production HPC systems.

Clustering Unsupervised Anomaly Detection