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Martin Molan
Martin Molan
PhD student, university of Bologna
在 molan.net 的电子邮件经过验证 - 首页
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引用次数
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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
302021
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
212023
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
72023
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
52007
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
42023
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
42021
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
22022
Pre-processing for anomaly detection on linear accelerator
M Molan, Y Donon, A Di Meglio
CERN, Geneva, Switzerland, Sep, 2020
22020
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
12024
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
12022
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
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