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Exploring the Utility of Graph Methods in HPC Thermal Modeling.

, , , and . ICPE (Companion), page 106-111. ACM, (2024)

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RUAD: unsupervised anomaly detection in HPC systems., , , , and . CoRR, (2022)Analysing Supercomputer Nodes Behaviour with the Latent Representation of Deep Learning Models., , , and . Euro-Par, volume 13440 of Lecture Notes in Computer Science, page 171-185. Springer, (2022)Exploring the Utility of Graph Methods in HPC Thermal Modeling., , , and . ICPE (Companion), page 106-111. ACM, (2024)RUAD: Unsupervised anomaly detection in HPC systems., , , , and . Future Gener. Comput. Syst., (April 2023)Graph Neural Networks for Anomaly Anticipation in HPC Systems., , , and . ICPE (Companion), page 239-244. ACM, (2023)Model for Quantitative Estimation of Functionality Influence on the Final Value of a Software Product., , , , , and . IEEE Access, (2023)An Explainable Model for Fault Detection in HPC Systems., , , , and . ISC Workshops, volume 12761 of Lecture Notes in Computer Science, page 378-391. Springer, (2021)The Graph-Massivizer Approach Toward a European Sustainable Data Center Digital Twin., , , , , , , , , and 1 other author(s). COMPSAC, page 1459-1464. IEEE, (2023)Anomaly Detection and Anticipation in High Performance Computing Systems., , , and . IEEE Trans. Parallel Distributed Syst., 33 (4): 739-750 (2022)Machine Learning Methodologies to Support HPC Systems Operations: Anomaly Detection., , , and . Euro-Par Workshops, volume 13835 of Lecture Notes in Computer Science, page 294-298. Springer, (2022)