Anomaly detection and anticipation in high performance computing systems A Borghesi, M Molan, M Milano, A Bartolini IEEE Transactions on Parallel and Distributed Systems 33 (4), 739-750, 2021 | 30 | 2021 |
RUAD: Unsupervised anomaly detection in HPC systems M Molan, A Borghesi, D Cesarini, L Benini, A Bartolini Future Generation Computer Systems 141, 542-554, 2023 | 21 | 2023 |
M100 ExaData: a data collection campaign on the CINECA’s Marconi100 Tier-0 supercomputer A Borghesi, C Di Santi, M Molan, MS Ardebili, A Mauri, M Guarrasi, ... Scientific Data 10 (1), 288, 2023 | 7 | 2023 |
Identification of qualitative and quantitative elements of human behaviour and their inclusion in risk assessment models M Molan, G Molan, S Petelin, M Kožuh V: MAHER, Tomaž (ur.), HERNAVS, Boštjan (ur.). Applications of intelligent …, 2007 | 5 | 2007 |
Graph neural networks for anomaly anticipation in HPC systems M Molan, J Ahmed Khan, A Borghesi, A Bartolini Companion of the 2023 ACM/SPEC International Conference on Performance …, 2023 | 4 | 2023 |
An explainable model for fault detection in HPC systems M Molan, A Borghesi, F Beneventi, M Guarrasi, A Bartolini International conference on high performance computing, 378-391, 2021 | 4 | 2021 |
Semi-supervised anomaly detection on a Tier-0 HPC system M Molan, A Borghesi, L Benini, A Bartolini Proceedings of the 19th ACM International Conference on Computing Frontiers …, 2022 | 2 | 2022 |
Pre-processing for anomaly detection on linear accelerator M Molan, Y Donon, A Di Meglio CERN, Geneva, Switzerland, Sep, 2020 | 2 | 2020 |
GRAAFE: GRaph anomaly anticipation framework for exascale HPC systems M Molan, MS Ardebili, JA Khan, F Beneventi, D Cesarini, A Borghesi, ... Future Generation Computer Systems, 2024 | 1 | 2024 |
Machine Learning Methodologies to Support HPC Systems Operations: Anomaly Detection M Molan, A Borghesi, L Benini, A Bartolini European Conference on Parallel Processing, 294-298, 2022 | 1 | 2022 |
LIDAROC: Realistic LiDAR Cover Contamination Dataset for Enhancing Autonomous Vehicle Perception Reliability G Jati, M Molan, F Barchi, A Bartolini, G Mercurio, A Acquaviva IEEE Sensors Letters, 2024 | | 2024 |
TinyLid: a RISC-V accelerated Neural Network For LiDAR Contaminant Classification in Autonomous Vehicle G Jati, M Molan, F Barchi, A Bartolini, A Acquaviva Proceedings of the 21st ACM International Conference on Computing Frontiers …, 2024 | | 2024 |
Exploring the Utility of Graph Methods in HPC Thermal Modeling B Guindani, M Molan, A Bartolini, L Benini Companion of the 15th ACM/SPEC International Conference on Performance …, 2024 | | 2024 |
AutoGrAN: Autonomous Vehicle LiDAR Contaminant Detection using Graph Attention Networks G Jati, M Molan, JA Khan, F Barchi, A Bartolini, G Mercurio, A Acquaviva Companion of the 15th ACM/SPEC International Conference on Performance …, 2024 | | 2024 |
ExaQuery: Proving Data Structure to Unstructured Telemetry Data in Large-Scale HPC JA Khan, M Molan, M Angelinelli, A Bartolini Companion of the 15th ACM/SPEC International Conference on Performance …, 2024 | | 2024 |
Model for Quantitative Estimation of Functionality Influence on the Final Value of a Software Product G Molan, G Dolinar, J Bojkovski, R Prodan, A Borghesi, M Molan IEEE Access, 2023 | | 2023 |
The Graph-Massivizer Approach Toward a European Sustainable Data Center Digital Twin M Molan, JA Khan, A Bartolini, R Turra, G Pedrazzi, M Cochez, A Iosup, ... 2023 IEEE 47th Annual Computers, Software, and Applications Conference …, 2023 | | 2023 |
Analysing Supercomputer Nodes Behaviour with the Latent Representation of Deep Learning Models M Molan, A Borghesi, L Benini, A Bartolini European Conference on Parallel Processing, 171-185, 2022 | | 2022 |