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Andrea Bartolini
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Publications
- 2024
- [i23]Emanuele Parisi, Alberto Musa, Simone Manoni, Maicol Ciani, Davide Rossi, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva:
TitanCFI: Toward Enforcing Control-Flow Integrity in the Root-of-Trust. CoRR abs/2401.02567 (2024) - [i22]Emanuele Parisi, Alberto Musa, Maicol Ciani, Francesco Barchi, Davide Rossi, Andrea Bartolini, Andrea Acquaviva:
Assessing the Performance of OpenTitan as Cryptographic Accelerator in Secure Open-Hardware System-on-Chips. CoRR abs/2402.10395 (2024) - 2023
- [j40]Luca Zanatta, Alfio Di Mauro, Francesco Barchi, Andrea Bartolini, Luca Benini, Andrea Acquaviva:
Directly-trained Spiking Neural Networks for Deep Reinforcement Learning: Energy efficient implementation of event-based obstacle avoidance on a neuromorphic accelerator. Neurocomputing 562: 126885 (2023) - [c117]Francesco Barchi, Giacomo Pasini, Emanuele Parisi, Giuseppe Tagliavini, Andrea Bartolini, Andrea Acquaviva:
RUST-Encoded Stream Ciphers on a RISC-V Parallel Ultra-Low-Power Processor (Invited Paper). PARMA-DITAM 2023: 3:1-3:12 - [c116]William Fornaciari, Federico Reghenzani, Giovanni Agosta, Davide Zoni, Andrea Galimberti, Francesco Conti, Yvan Tortorella, Emanuele Parisi, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva, Daniele Gregori, Salvatore Cognetta, Carlo Ciancarelli, Antonio Leboffe, Paolo Serri, Alessio Burrello, Daniele Jahier Pagliari, Gianvito Urgese, Maurizio Martina, Guido Masera, Rosario Di Carlo, Antonio Sciarappa:
RISC-V Processor Technologies for Aerospace Applications in the ISOLDE Project. SAMOS 2023: 363-378 - 2022
- [j38]Emanuele Parisi, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva:
Making the Most of Scarce Input Data in Deep Learning-Based Source Code Classification for Heterogeneous Device Mapping. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(6): 1636-1648 (2022) - [c112]Nicola Elia, Francesco Barchi, Emanuele Parisi, Livio Pompianu, Salvatore Carta, Andrea Bartolini, Andrea Acquaviva:
Smart Contracts for Certified and Sustainable Safety-Critical Continuous Monitoring Applications. ADBIS 2022: 377-391 - [c109]Luca Zanatta, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva:
Artificial versus spiking neural networks for reinforcement learning in UAV obstacle avoidance. CF 2022: 199-200 - [c107]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 - [c104]Emanuele Parisi, Amirhossein Moallemi, Francesco Barchi, Andrea Bartolini, Davide Brunelli, Nicola Buratti, Andrea Acquaviva:
Time and Frequency Domain Assessment of Low-Power MEMS Accelerometers for Structural Health Monitoring. MetroInd4.0& IoT 2022: 234-239 - [c102]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 - [i17]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
- [j34]Francesco Barchi, Luca Zanatta, Emanuele Parisi, Alessio Burrello, Davide Brunelli, Andrea Bartolini, Andrea Acquaviva:
Spiking Neural Network-Based Near-Sensor Computing for Damage Detection in Structural Health Monitoring. Future Internet 13(8): 219 (2021) - [c99]Emanuele Parisi, Francesco Barchi, Andrea Bartolini, Giuseppe Tagliavini, Andrea Acquaviva:
Source Code Classification for Energy Efficiency in Parallel Ultra Low-Power Microcontrollers. DATE 2021: 878-883 - [c97]Luca Zanatta, Francesco Barchi, Alessio Burrello, Andrea Bartolini, Davide Brunelli, Andrea Acquaviva:
Damage Detection in Structural Health Monitoring with Spiking Neural Networks. MetroInd4.0&IoT 2021: 105-110 - 2020
- [i12]Emanuele Parisi, Francesco Barchi, Andrea Bartolini, Giuseppe Tagliavini, Andrea Acquaviva:
Source Code Classification for Energy Efficiency in Parallel Ultra Low-Power Microcontrollers. CoRR abs/2012.06836 (2020)
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last updated on 2024-04-08 01:09 CEST by the dblp team
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