BORGHESI, ANDREA
BORGHESI, ANDREA
DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA
Ricercatori a tempo determinato
A machine learning approach to online fault classification in HPC systems
2020 Alessio Netti, Zeynep Kiziltan, Ozalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi
A Multi-modal Perspective for the Artistic Evaluation of Robotic Dance Performances
2022 Luca Giuliani, Allegra De Filippo, Andrea Borghesi, Paola Mello, Michela Milano
A semisupervised autoencoder-based approach for anomaly detection in high performance computing systems
2019 Borghesi A.; Bartolini A.; Lombardi M.; Milano M.; Benini L.
Agent based simulation of incentive mechanisms on photovoltaic adoption
2015 Iachini, Valerio; Borghesi, Andrea; Milano, Michela
An Analysis of Regularized Approaches for Constrained Machine Learning
2021 Lombardi, Michele; Baldo, Federico; Borghesi, Andrea; Milano, Michela
An Explainable Model for Fault Detection in HPC Systems
2021 Molan M.; Borghesi A.; Beneventi F.; Guarrasi M.; Bartolini A.
Analysing Supercomputer Nodes Behaviour with the Latent Representation of Deep Learning Models
2022 Molan, M; Borghesi, A; Benini, L; Bartolini, A
Anomaly Detection and Anticipation in High Performance Computing Systems
2022 Borghesi A.; Molan M.; Milano M.; Bartolini A.
Anomaly Detection Using Autoencoders in High Performance Computing Systems
2019 Borghesi, Andrea; Bartolini, Andrea; Lombardi, Michele; Milano, Michela; Benini, Luca
Combining learning and optimization for transprecision computing
2020 Borghesi, Andrea; Tagliavini, Giuseppe; Lombardi, Michele; Benini, Luca; Milano, Michela
Constrained Hardware Dimensioning for AI Algorithms
2022 De Filippo A.; Borghesi A.
Countdown Slack: A Run-Time Library to Reduce Energy Footprint in Large-Scale MPI Applications
2020 Cesarini, Daniele; Bartolini, Andrea; Borghesi, Andrea; Cavazzoni, Carlo; Luisier, Mathieu; Benini, Luca
Data-Driven Job Dispatching in HPC Systems
2018 Cristian, Galleguillos; Sîrbu, Alina; Kiziltan, Zeynep; Babaoglu, Ozalp; Borghesi, Andrea; Bridi, Thomas
Design of an Energy Aware Petaflops Class High Performance Cluster Based on Power Architecture
2017 Abu Ahmad, Wissam; Bartolini, Andrea; Beneventi, Francesco; Benini, Luca; Borghesi, Andrea; Cicala, Marco; Forestieri, Privato; Gianfreda, Cosimo; Gregori, Daniele; Libri, Antonio; Spiga, Filippo; Tinti, Simone
Energy and Power Aware Job Scheduling and Resource Management: Global Survey — Initial Analysis
2018 Maiterth, Matthias; Koenig, Gregory; Pedretti, Kevin; Jana, Siddhartha; Bates, Natalie; Borghesi, Andrea; Montoya, Dave; Bartolini, Andrea; Puzovic, Milos
ExaMon-X: a Predictive Maintenance Framework for Automatic Monitoring in Industrial IoT Systems
2021 Borghesi, Andrea; Burrello, Alessio; Bartolini, Andrea
FINJ: A Fault Injection Tool for HPC Systems
2019 Alessio Netti; Zeynep Kiziltan; Ozalp Babaoglu; Alina Sirbu; Andrea Bartolini; Andrea Borghesi
Frequency Assignment in High Performance Computing Systems
2019 Borghesi, Andrea; Milano, Michela; Benini, Luca
HADA: An automated tool for hardware dimensioning of AI applications
2022 De Filippo, A; Borghesi, A; Boscarino, A; Milano, M
imulation Of Incentive Mechanisms For Renewable Energy Policies
2013 Andrea Borghesi; Michela Milano; Marco Gavanelli; Tony Woods
| Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
|---|---|---|---|---|---|---|
| A machine learning approach to online fault classification in HPC systems | Alessio Netti, Zeynep Kiziltan, Ozalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi | 2020-01-01 | FUTURE GENERATION COMPUTER SYSTEMS | - | 1.01 Articolo in rivista | main.pdf |
| A Multi-modal Perspective for the Artistic Evaluation of Robotic Dance Performances | Luca Giuliani, Allegra De Filippo, Andrea Borghesi, Paola Mello, Michela Milano | 2022-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| A semisupervised autoencoder-based approach for anomaly detection in high performance computing systems | Borghesi A.; Bartolini A.; Lombardi M.; Milano M.; Benini L. | 2019-01-01 | ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE | - | 1.01 Articolo in rivista | anomalyDetection_AE_engApps_AI_REV1.pdf |
| Agent based simulation of incentive mechanisms on photovoltaic adoption | Iachini, Valerio; Borghesi, Andrea; Milano, Michela | 2015-01-01 | LECTURE NOTES IN COMPUTER SCIENCE | Springer Verlag | 4.01 Contributo in Atti di convegno | - |
| An Analysis of Regularized Approaches for Constrained Machine Learning | Lombardi, Michele; Baldo, Federico; Borghesi, Andrea; Milano, Michela | 2021-01-01 | - | Springer | 4.01 Contributo in Atti di convegno | tailor2020_paper58_camReady.pdf |
| An Explainable Model for Fault Detection in HPC Systems | Molan M.; Borghesi A.; Beneventi F.; Guarrasi M.; Bartolini A. | 2021-01-01 | - | Springer | 4.01 Contributo in Atti di convegno | molan_MODA2021.pdf |
| Analysing Supercomputer Nodes Behaviour with the Latent Representation of Deep Learning Models | Molan, M; Borghesi, A; Benini, L; Bartolini, A | 2022-01-01 | - | SPRINGER INTERNATIONAL PUBLISHING AG | 4.01 Contributo in Atti di convegno | postPrint_Analysing_Supercomputer_Nodes_Behaviour_with_the_Latent_Representation_of_Deep_Learning_Models.pdf |
| Anomaly Detection and Anticipation in High Performance Computing Systems | Borghesi A.; Molan M.; Milano M.; Bartolini A. | 2022-01-01 | IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS | - | 1.01 Articolo in rivista | TPDS_SI_Exascale_AnomalyAnticipation_REV.pdf |
| Anomaly Detection Using Autoencoders in High Performance Computing Systems | Borghesi, Andrea; Bartolini, Andrea; Lombardi, Michele; Milano, Michela; Benini, Luca | 2019-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Combining learning and optimization for transprecision computing | Borghesi, Andrea; Tagliavini, Giuseppe; Lombardi, Michele; Benini, Luca; Milano, Michela | 2020-01-01 | - | - | 4.01 Contributo in Atti di convegno | Combining Learning and Optimization for Transprecision.pdf |
| Constrained Hardware Dimensioning for AI Algorithms | De Filippo A.; Borghesi A. | 2022-01-01 | - | - | 4.01 Contributo in Atti di convegno | FAIA-351-FAIA220072 (1).pdf |
| Countdown Slack: A Run-Time Library to Reduce Energy Footprint in Large-Scale MPI Applications | Cesarini, Daniele; Bartolini, Andrea; Borghesi, Andrea; Cavazzoni, Carlo; Luisier, Mathieu; Benin...i, Luca | 2020-01-01 | IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS | - | 1.01 Articolo in rivista | TPDS_2019_CR.pdf |
| Data-Driven Job Dispatching in HPC Systems | Cristian, Galleguillos; Sîrbu, Alina; Kiziltan, Zeynep; Babaoglu, Ozalp; Borghesi, Andrea; Bridi,... Thomas | 2018-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Design of an Energy Aware Petaflops Class High Performance Cluster Based on Power Architecture | Abu Ahmad, Wissam; Bartolini, Andrea; Beneventi, Francesco; Benini, Luca; Borghesi, Andrea; Cical...a, Marco; Forestieri, Privato; Gianfreda, Cosimo; Gregori, Daniele; Libri, Antonio; Spiga, Filippo; Tinti, Simone | 2017-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | - |
| Energy and Power Aware Job Scheduling and Resource Management: Global Survey — Initial Analysis | Maiterth, Matthias; Koenig, Gregory; Pedretti, Kevin; Jana, Siddhartha; Bates, Natalie; Borghesi,... Andrea; Montoya, Dave; Bartolini, Andrea; Puzovic, Milos | 2018-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| ExaMon-X: a Predictive Maintenance Framework for Automatic Monitoring in Industrial IoT Systems | Borghesi, Andrea; Burrello, Alessio; Bartolini, Andrea | 2021-01-01 | IEEE INTERNET OF THINGS JOURNAL | - | 1.01 Articolo in rivista | postPrintVersion_plus_editorialReference.pdf |
| FINJ: A Fault Injection Tool for HPC Systems | Alessio Netti; Zeynep Kiziltan; Ozalp Babaoglu; Alina Sirbu; Andrea Bartolini; Andrea Borghesi | 2019-01-01 | - | Springer-Verlag | 4.01 Contributo in Atti di convegno | Netti_Europar2018_FINJ_postprint.pdf |
| Frequency Assignment in High Performance Computing Systems | Borghesi, Andrea; Milano, Michela; Benini, Luca | 2019-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| HADA: An automated tool for hardware dimensioning of AI applications | De Filippo, A; Borghesi, A; Boscarino, A; Milano, M | 2022-01-01 | KNOWLEDGE-BASED SYSTEMS | - | 1.01 Articolo in rivista | HADA: an Automated Tool for Hardware Dimensioning of AI Applications.pdf |
| imulation Of Incentive Mechanisms For Renewable Energy Policies | Andrea Borghesi; Michela Milano; Marco Gavanelli; Tony Woods | 2013-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |