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Francesco Beneventi
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2020 – today
- 2024
- [j5]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: 644-653 (2024) - 2023
- [c18]Gianluca Mittone, Nicolò Tonci, Robert Birke, Iacopo Colonnelli, Doriana Medic, Andrea Bartolini, Roberto Esposito, Emanuele Parisi, Francesco Beneventi, Mirko Polato, Massimo Torquati, Luca Benini, Marco Aldinucci:
Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning. CF 2023: 73-83 - [d13]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset: time-aggregated data for anomaly detection. Zenodo, 2023 - [d12]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 1: from 20-03 to 20-12. Zenodo, 2023 - [d11]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 2: from 21-01 to 21-06. Zenodo, 2023 - [d10]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 3: from 21-07 to 21-09. Zenodo, 2023 - [d9]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 4: from 21-10 to 21-12. Zenodo, 2023 - [d8]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 5: from 22-01 to 22-02. Zenodo, 2023 - [d7]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 6: 22-03. Zenodo, 2023 - [d6]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 7: 22-04. Zenodo, 2023 - [d5]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 8: 22-05. Zenodo, 2023 - [d4]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 9: 22-06. Zenodo, 2023 - [d3]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 10: 22-07. Zenodo, 2023 - [d2]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 11: 22-08. Zenodo, 2023 - [d1]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 12: 22-09. Zenodo, 2023 - [i3]Gianluca Mittone, Nicolò Tonci, Robert Birke, Iacopo Colonnelli, Doriana Medic, Andrea Bartolini, Roberto Esposito, Emanuele Parisi, Francesco Beneventi, Mirko Polato, Massimo Torquati, Luca Benini, Marco Aldinucci:
Experimenting with Emerging ARM and RISC-V Systems for Decentralised Machine Learning. CoRR abs/2302.07946 (2023) - [i2]W. A. Ahmad, Andrea Bartolini, Francesco Beneventi, Luca Benini, Andrea Borghesi, Marco Cicala, Privato Forestieri, Cosimo Gianfreda, Daniele Gregori, Antonio Libri, Filippo Spiga, Simone Tinti:
Design of an energy aware petaflops class high performance cluster based on power architecture. CoRR abs/2307.05790 (2023) - 2022
- [c17]Federico Ficarelli, Andrea Bartolini, Emanuele Parisi, Francesco Beneventi, Francesco Barchi, Daniele Gregori, Fabrizio Magugliani, Marco Cicala, Cosimo Gianfreda, Daniele Cesarini, Andrea Acquaviva, Luca Benini:
Meet Monte Cimone: exploring RISC-V high performance compute clusters. CF 2022: 207-208 - [c16]Andrea Bartolini, Federico Ficarelli, Emanuele Parisi, Francesco Beneventi, Francesco Barchi, Daniele Gregori, Fabrizio Magugliani, Marco Cicala, Cosimo Gianfreda, Daniele Cesarini, Andrea Acquaviva, Luca Benini:
Monte Cimone: Paving the Road for the First Generation of RISC-V High-Performance Computers. SOCC 2022: 1-6 - [i1]Andrea Bartolini, Federico Ficarelli, Emanuele Parisi, Francesco Beneventi, Francesco Barchi, Daniele Gregori, Fabrizio Magugliani, Marco Cicala, Cosimo Gianfreda, Daniele Cesarini, Andrea Acquaviva, Luca Benini:
Monte Cimone: Paving the Road for the First Generation of RISC-V High-Performance Computers. CoRR abs/2205.03725 (2022) - 2021
- [c15]Mohsen Seyedkazemi Ardebili, Marcello Zanghieri, Alessio Burrello, Francesco Beneventi, Andrea Acquaviva, Luca Benini, Andrea Bartolini:
Prediction of Thermal Hazards in a Real Datacenter Room Using Temporal Convolutional Networks. DATE 2021: 1256-1259 - [c14]Martin Molan, Andrea Borghesi, Francesco Beneventi, Massimiliano Guarrasi, Andrea Bartolini:
An Explainable Model for Fault Detection in HPC Systems. ISC Workshops 2021: 378-391
2010 – 2019
- 2019
- [c13]Andrea Bartolini, Francesco Beneventi, Andrea Borghesi, Daniele Cesarini, Antonio Libri, Luca Benini, Carlo Cavazzoni:
Paving the Way Toward Energy-Aware and Automated Datacentre. ICPP Workshops 2019: 8:1-8:8 - 2018
- [j4]Andrea Bartolini, Roberto Diversi, Daniele Cesarini, Francesco Beneventi:
Self-Aware Thermal Management for High-Performance Computing Processors. IEEE Des. Test 35(5): 28-35 (2018) - [c12]Andrea Bartolini, Andrea Borghesi, Antonio Libri, Francesco Beneventi, Daniele Gregori, Simone Tinti, Cosimo Gianfreda, Piero Altoe:
The D.A.V.I.D.E. big-data-powered fine-grain power and performance monitoring support. CF 2018: 303-308 - [c11]Federico Pittino, Francesco Beneventi, Andrea Bartolini, Luca Benini:
A Scalable Framework for Online Power Modelling of High-Performance Computing Nodes in Production. HPCS 2018: 300-307 - 2017
- [c10]Francesco Beneventi, Andrea Bartolini, Carlo Cavazzoni, Luca Benini:
Continuous learning of HPC infrastructure models using big data analytics and in-memory processing tools. DATE 2017: 1038-1043 - [c9]Wissam Abu Ahmad, Andrea Bartolini, Francesco Beneventi, Luca Benini, Andrea Borghesi, Marco Cicala, Privato Forestieri, Cosimo Gianfreda, Daniele Gregori, Antonio Libri, Filippo Spiga, Simone Tinti:
Design of an Energy Aware Petaflops Class High Performance Cluster Based on Power Architecture. IPDPS Workshops 2017: 964-973 - 2016
- [j3]Francesco Beneventi, Andrea Bartolini, Pascal Vivet, Luca Benini:
Thermal Analysis and Interpolation Techniques for a Logic + WideIO Stacked DRAM Test Chip. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35(4): 623-636 (2016) - [c8]Roberto Diversi, Andrea Bartolini, Francesco Beneventi, Luca Benini:
Thermal model identification of supercomputing nodes in production environment. IECON 2016: 4838-4844 - [c7]Francesco Beneventi, Andrea Bartolini, Carlo Cavazzoni, Luca Benini:
Cooling-aware node-level task allocation for next-generation green HPC systems. HPCS 2016: 690-696 - 2014
- [j2]Francesco Beneventi, Andrea Bartolini, Andrea Tilli, Luca Benini:
An Effective Gray-Box Identification Procedure for Multicore Thermal Modeling. IEEE Trans. Computers 63(5): 1097-1110 (2014) - [j1]Roberto Diversi, Andrea Tilli, Andrea Bartolini, Francesco Beneventi, Luca Benini:
Bias-Compensated Least Squares Identification of Distributed Thermal Models for Many-Core Systems-on-Chip. IEEE Trans. Circuits Syst. I Regul. Pap. 61-I(9): 2663-2676 (2014) - [c6]Francesco Beneventi, Andrea Bartolini, Pascal Vivet, Denis Dutoit, Luca Benini:
Thermal analysis and model identification techniques for a logic + WIDEIO stacked DRAM test chip. DATE 2014: 1-4 - 2013
- [c5]Roberto Diversi, Andrea Bartolini, Andrea Tilli, Francesco Beneventi, Luca Benini:
SCC thermal model identification via advanced bias-compensated least-squares. DATE 2013: 230-235 - [c4]Francesco Beneventi, Andrea Bartolini, Luca Benini:
On-line thermal emulation: How to speed-up your thermal controller design. PATMOS 2013: 99-106 - 2011
- [c3]Francesco Beneventi, Andrea Bartolini, Luca Benini:
Static Thermal Model Learning for High-Performance Multicore Servers. ICCCN 2011: 1-6 - [c2]Andrea Bartolini, MohammadSadegh Sadri, Francesco Beneventi, Matteo Cacciari, Andrea Tilli, Luca Benini:
SCC Thermal Sensor Characterization and Calibration. MARC Symposium 2011: 7-11 - [c1]Andrea Bartolini, MohammadSadegh Sadri, Francesco Beneventi, Matteo Cacciari, Andrea Tilli, Luca Benini:
A System Level Approach to Multi-core Thermal Sensors Calibration. PATMOS 2011: 22-31
Coauthor Index
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last updated on 2024-10-31 20:16 CET by the dblp team
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