Martin Molan

Orcid: 0000-0002-6805-2232

According to our database1, Martin Molan authored at least 27 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
GRAAFE: GRaph Anomaly Anticipation Framework for Exascale HPC systems.
Future Gener. Comput. Syst., 2024

ExaQuery: Proving Data Structure to Unstructured Telemetry Data in Large-Scale HPC.
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.
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.
Proceedings of the Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

TinyLid: a RISC-V accelerated Neural Network For LiDAR Contaminant Classification in Autonomous Vehicle.
Proceedings of the 21st ACM International Conference on Computing Frontiers, 2024

2023
RUAD: Unsupervised anomaly detection in HPC systems.
Future Gener. Comput. Syst., April, 2023














Model for Quantitative Estimation of Functionality Influence on the Final Value of a Software Product.
IEEE Access, 2023

Graph Neural Networks for Anomaly Anticipation in HPC Systems.
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.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2022
Anomaly Detection and Anticipation in High Performance Computing Systems.
IEEE Trans. Parallel Distributed Syst., 2022

Machine Learning Methodologies to Support HPC Systems Operations: Anomaly Detection.
Proceedings of the Euro-Par 2022: Parallel Processing Workshops, 2022

Analysing Supercomputer Nodes Behaviour with the Latent Representation of Deep Learning Models.
Proceedings of the Euro-Par 2022: Parallel Processing, 2022

Semi-supervised anomaly detection on a Tier-0 HPC system.
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.
Proceedings of the High Performance Computing - ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24, 2021


  Loading...