Martin Molan

Future Gener. Comput. Syst., 2024

ExaQuery: Proving Data Structure to Unstructured Telemetry Data in Large-Scale HPC.

[BibT_eX]

[DOI]

Proceedings of the Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

AutoGrAN: Autonomous Vehicle LiDAR Contaminant Detection using Graph Attention Networks.

[BibT_eX]

[DOI]

Proceedings of the Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

Exploring the Utility of Graph Methods in HPC Thermal Modeling.

[BibT_eX]

[DOI]

Proceedings of the Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

Predicting Compute Node Unavailability in HPC: A Graph-Based Machine Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

TinyLid: a RISC-V accelerated Neural Network For LiDAR Contaminant Classification in Autonomous Vehicle.

[BibT_eX]

[DOI]

Proceedings of the 21st ACM International Conference on Computing Frontiers, 2024

2023

RUAD: Unsupervised anomaly detection in HPC systems.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., April, 2023

M100 dataset 12: 22-09.

[BibT_eX]

[DOI]

Dataset, January, 2023

M100 dataset 11: 22-08.

[BibT_eX]

[DOI]

Dataset, January, 2023

M100 dataset 10: 22-07.

[BibT_eX]

[DOI]

Dataset, January, 2023

M100 dataset 9: 22-06.

[BibT_eX]

[DOI]

Dataset, January, 2023

M100 dataset 8: 22-05.

[BibT_eX]

[DOI]

Dataset, January, 2023

M100 dataset 7: 22-04.

[BibT_eX]

[DOI]

Dataset, January, 2023

M100 dataset 6: 22-03.

[BibT_eX]

[DOI]

Dataset, January, 2023

M100 dataset 5: from 22-01 to 22-02.

[BibT_eX]

[DOI]

Dataset, January, 2023

M100 dataset 4: from 21-10 to 21-12.

[BibT_eX]

[DOI]

Dataset, January, 2023

M100 dataset 3: from 21-07 to 21-09.

[BibT_eX]

[DOI]

Dataset, January, 2023

M100 dataset 2: from 21-01 to 21-06.

[BibT_eX]

[DOI]

Dataset, January, 2023

M100 dataset 1: from 20-03 to 20-12.

[BibT_eX]

[DOI]

Dataset, January, 2023

M100 dataset: time-aggregated data for anomaly detection.

[BibT_eX]

[DOI]

Dataset, January, 2023

Model for Quantitative Estimation of Functionality Influence on the Final Value of a Software Product.

[BibT_eX]

[DOI]

IEEE Access, 2023

Graph Neural Networks for Anomaly Anticipation in HPC Systems.

[BibT_eX]

[DOI]

Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

The Graph-Massivizer Approach Toward a European Sustainable Data Center Digital Twin.

[BibT_eX]

[DOI]

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2022

Anomaly Detection and Anticipation in High Performance Computing Systems.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2022

Machine Learning Methodologies to Support HPC Systems Operations: Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the Euro-Par 2022: Parallel Processing Workshops, 2022

Analysing Supercomputer Nodes Behaviour with the Latent Representation of Deep Learning Models.

[BibT_eX]

[DOI]

Proceedings of the Euro-Par 2022: Parallel Processing, 2022

Semi-supervised anomaly detection on a Tier-0 HPC system.

[BibT_eX]

[DOI]

Proceedings of the CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17, 2022

2021

An Explainable Model for Fault Detection in HPC Systems.

[BibT_eX]

[DOI]

Francesco Beneventi