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2020 – today
- 2024
[j8]Alessia Pisu
, Nicola Elia, Livio Pompianu, Francesco Barchi, Andrea Acquaviva, Salvatore Carta:
Enhancing workplace safety: A flexible approach for personal protective equipment monitoring. Expert Syst. Appl. 238(Part F): 122285 (2024)- [j7]Francesco Barchi, Emanuele Parisi, Luca Zanatta, Andrea Bartolini, Andrea Acquaviva:
Energy efficient and low-latency spiking neural networks on embedded microcontrollers through spiking activity tuning. Neural Comput. Appl. 36(30): 18897-18917 (2024) - [c29]Virginia Negri, Samuel Zanella, Alessandro Mingotti, Roberto Tinarelli, Lorenzo Peretto, Francesco Barchi, Andrea Acquaviva:
Towards the DT of an Educational Building: An AI-Based Distributed Measurement System for the Power Forecasting. AMPS 2024: 1-6 - [c28]Grafika Jati, Martin Molan, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva:
TinyLid: a RISC-V accelerated Neural Network For LiDAR Contaminant Classification in Autonomous Vehicle. CF 2024 - [c27]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. CF 2024 - [c26]Sebastiano Mengozzi, Luca Zanatta, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva:
Towards Nano-Drones Agile Flight Using Deep Reinforcement Learning. COINS 2024: 1-6 - [c25]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. DATE 2024: 1-6 - [c24]Federico Cichetti, Emanuele Parisi, Andrea Acquaviva, Francesco Barchi:
DeepCodeGraph: A Language Model for Compile-Time Resource Optimization Using Masked Graph Autoencoders. NLDB (1) 2024: 470-484 - [c23]Alberto Musa, Franco Volante, Emanuele Parisi, Luca Barbierato, Edoardo Patti, Andrea Bartolini, Andrea Acquaviva, Francesco Barchi:
TitanSSL: Towards Accelerating OpenSSL in a Full RISC-V Architecture Using OpenTitan Root-of-Trust. SAFECOMP 2024: 169-183 - [c22]Alberto Musa, Emanuele Parisi, Luca Barbierato, Andrea Acquaviva, Francesco Barchi:
End-to-end Integration of OpenTitan Security Features in a Pure RISC-V SoC. SMACD 2024: 1-4 - [c21]Franco Volante, Francesco Barchi, Edoardo Patti, Lorenzo Bottaccioli, Luca Barbierato:
OP-TEE powered OpenSSL Engine enhancing Digital Signature security for ARM Architectures. SMACD 2024: 1-4 - [c20]Grafika Jati, Martin Molan, Junaid Ahmed Khan, Francesco Barchi, Andrea Bartolini, Giuseppe Mercurio, Andrea Acquaviva:
AutoGrAN: Autonomous Vehicle LiDAR Contaminant Detection using Graph Attention Networks. ICPE (Companion) 2024: 112-119 - [i6]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) - [i5]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) - [i4]Maicol Ciani, Emanuele Parisi, Alberto Musa, Francesco Barchi, Andrea Bartolini, Ari Kulmala, Rafail Psiakis, Angelo Garofalo, Andrea Acquaviva, Davide Rossi:
Unleashing OpenTitan's Potential: a Silicon-Ready Embedded Secure Element for Root of Trust and Cryptographic Offloading. CoRR abs/2406.11558 (2024) - 2023
- [j6]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) - [c19]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 - [c18]Francesco Lumpp, Francesco Barchi, Andrea Acquaviva, Nicola Bombieri:
On the Containerization and Orchestration of RISC-V architectures for Edge-Cloud computing. eSAAM 2023: 21-28 - [c17]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 - [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]Fabrizio Ferrandi, Serena Curzel, Leandro Fiorin, Daniele Ielmini, Cristina Silvano, Francesco Conti, Alessio Burrello, Francesco Barchi, Luca Benini, Luciano Lavagno, Teodoro Urso, Enrico Calore, Sebastiano Fabio Schifano, Cristian Zambelli, Maurizio Palesi, Giuseppe Ascia, Enrico Russo, Nicola Petra, Davide De Caro, Gennaro Di Meo, Valeria Cardellini, Salvatore Filippone, Francesco Lo Presti, Francesco Silvestri, Paolo Palazzari, Stefania Perri:
A Survey on Design Methodologies for Accelerating Deep Learning on Heterogeneous Architectures. CoRR abs/2311.17815 (2023) - 2022
- [j5]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) - [c16]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 - [c15]Luca Zanatta, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva:
Artificial versus spiking neural networks for reinforcement learning in UAV obstacle avoidance. CF 2022: 199-200 - [c14]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 - [c13]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 - [c12]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 - [i2]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
- [j4]Francesco Barchi, Emanuele Parisi, Gianvito Urgese, Elisa Ficarra, Andrea Acquaviva:
Exploration of Convolutional Neural Network models for source code classification. Eng. Appl. Artif. Intell. 97: 104075 (2021) - [j3]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) - [j2]Francesco Barchi, Gianvito Urgese, Alessandro Siino, Santa Di Cataldo, Enrico Macii, Andrea Acquaviva:
Flexible On-Line Reconfiguration of Multi-Core Neuromorphic Platforms. IEEE Trans. Emerg. Top. Comput. 9(2): 915-927 (2021) - [c11]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 - [c10]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
- [i1]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)
2010 – 2019
- 2019
- [c9]Francesco Barchi, Gianvito Urgese, Enrico Macii, Andrea Acquaviva:
Code Mapping in Heterogeneous Platforms Using Deep Learning and LLVM-IR. DAC 2019: 170 - 2018
- [j1]Gianvito Urgese, Francesco Barchi, Enrico Macii, Andrea Acquaviva:
Optimizing Network Traffic for Spiking Neural Network Simulations on Densely Interconnected Many-Core Neuromorphic Platforms. IEEE Trans. Emerg. Top. Comput. 6(3): 317-329 (2018) - [c8]Gianvito Urgese, Luca Peres, Francesco Barchi, Enrico Macii, Andrea Acquaviva:
Multiple alignment of packet sequences for efficient communication in a many-core neuromorphic system: work-in-progress. CASES 2018: 3:1-3:2 - [c7]Francesco Barchi, Gianvito Urgese, Enrico Macii, Andrea Acquaviva:
Impact of graph partitioning on SNN placement for a multi-core neuromorphic architecture: work-in-progress. CASES 2018: 4:1-4:2 - [c6]Francesco Barchi, Gianvito Urgese, Andrea Acquaviva, Enrico Macii:
Directed Graph Placement for SNN Simulation into a multi-core GALS Architecture. VLSI-SoC 2018: 19-24 - [c5]Francesco Barchi, Gianvito Urgese, Enrico Macii, Andrea Acquaviva:
Mapping Spiking Neural Networks on Multi-core Neuromorphic Platforms: Problem Formulation and Performance Analysis. VLSI-SoC (Selected Papers) 2018: 167-186 - 2017
- [c4]Francesco Barchi, Gianvito Urgese, Enrico Macii, Andrea Acquaviva:
An Efficient MPI Implementation for Multi-Coreneuromorphic Platforms. NGCAS 2017: 273-276 - 2016
- [c3]Ramakrishna Venkata Nittala, Francesco Barchi, Gianvito Urgese, Andrea Acquaviva:
Toolchain integration of runtime variability and aging awareness in multicore platforms. FDL 2016: 1-8 - [c2]Alessandro Siino, Francesco Barchi, Sergio Davies, Gianvito Urgese, Andrea Acquaviva:
Data and Commands Communication Protocol for Neuromorphic Platform Configuration. MCSoC 2016: 23-30 - 2015
- [c1]Gianvito Urgese, Francesco Barchi, Enrico Macii:
Top-Down Profiling of Application Specific Many-core Neuromorphic Platforms. MCSoC 2015: 127-134
Coauthor Index
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last updated on 2024-12-10 21:47 CET by the dblp team
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