Martin Molan

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 15

Top Topics

Learning Methodologies

Computing Systems

Anomaly Detection

Top Venues

ICPE (Companion)

Future Gener. Comput. Syst.

Publications

Martin Molan, Mohsen Seyedkazemi Ardebili, Junaid Ahmed Khan, Francesco Beneventi, Daniele Cesarini, Andrea Borghesi, Andrea Bartolini
GRAAFE: GRaph Anomaly Anticipation Framework for Exascale HPC systems. Future Gener. Comput. Syst. 160 (2024)
Grafika Jati, Martin Molan, Junaid Ahmed Khan, Francesco Barchi, Andrea Bartolini, Giuseppe Mercurio, Andrea Acquaviva
AutoGrAN: Autonomous Vehicle LiDAR Contaminant Detection using Graph Attention Networks. ICPE (Companion) (2024)
Junaid Ahmed Khan, Martin Molan, Matteo Angelinelli, Andrea Bartolini
ExaQuery: Proving Data Structure to Unstructured Telemetry Data in Large-Scale HPC. ICPE (Companion) (2024)
Bruno Guindani, Martin Molan, Andrea Bartolini, Luca Benini
Exploring the Utility of Graph Methods in HPC Thermal Modeling. ICPE (Companion) (2024)
Grafika Jati, Martin Molan, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva
TinyLid: a RISC-V accelerated Neural Network For LiDAR Contaminant Classification in Autonomous Vehicle. CF (2024)
Martin Molan, Junaid Ahmed Khan, Andrea Borghesi, Andrea Bartolini
Graph Neural Networks for Anomaly Anticipation in HPC Systems. ICPE (Companion) (2023)
Martin Molan, Andrea Borghesi, Daniele Cesarini, Luca Benini, Andrea Bartolini
RUAD: Unsupervised anomaly detection in HPC systems. Future Gener. Comput. Syst. 141 (2023)
Gregor Molan, Gregor Dolinar, Jovan Bojkovski, Radu Prodan, Andrea Borghesi, Martin Molan
Model for Quantitative Estimation of Functionality Influence on the Final Value of a Software Product. IEEE Access 11 (2023)
Martin Molan, Junaid Ahmed Khan, Andrea Bartolini, Roberta Turra, Giorgio Pedrazzi, Michael Cochez, Alexandru Iosup, Dumitru Roman, Joze M. Rozanec, Ana Lucia Varbanescu, Radu Prodan
The Graph-Massivizer Approach Toward a European Sustainable Data Center Digital Twin. COMPSAC (2023)
Martin Molan, Andrea Borghesi, Luca Benini, Andrea Bartolini
Semi-supervised anomaly detection on a Tier-0 HPC system. CF (2022)
Martin Molan, Andrea Borghesi, Luca Benini, Andrea Bartolini
Analysing Supercomputer Nodes Behaviour with the Latent Representation of Deep Learning Models. Euro-Par (2022)
Andrea Borghesi, Martin Molan, Michela Milano, Andrea Bartolini
Anomaly Detection and Anticipation in High Performance Computing Systems. IEEE Trans. Parallel Distributed Syst. 33 (4) (2022)
Martin Molan, Andrea Borghesi, Daniele Cesarini, Luca Benini, Andrea Bartolini
RUAD: unsupervised anomaly detection in HPC systems. CoRR (2022)
Martin Molan, Andrea Borghesi, Luca Benini, Andrea Bartolini
Machine Learning Methodologies to Support HPC Systems Operations: Anomaly Detection. Euro-Par Workshops (2022)
Martin Molan, Andrea Borghesi, Francesco Beneventi, Massimiliano Guarrasi, Andrea Bartolini
An Explainable Model for Fault Detection in HPC Systems. ISC Workshops (2021)