Musa, A.; Volante, F.; Parisi, E.; Barbierato, L.; Patti, E.; Bartolini, A.; Acquaviva, A.; Barchi, F., TitanSSL: Towards Accelerating OpenSSL in a Full RISC-V Architecture Using OpenTitan Root-of-Trust, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, Springer Science and Business Media Deutschland GmbH, «LECTURE NOTES IN COMPUTER SCIENCE», 2024, 14988, pp. 169 - 183 (atti di: 43rd International Conference on Safety, Reliability and Security of Computer-based Systems, SAFECOMP 2024, ita, 2024) [Contributo in Atti di convegno]
Mengozzi, Sebastiano; Zanatta, Luca; Barchi, Francesco; Bartolini, Andrea; Acquaviva, Andrea, Towards Nano-Drones Agile Flight Using Deep Reinforcement Learning, in: 2024 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2024, 345 E 47TH ST, NEW YORK, NY 10017 USA, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 1 - 6 (atti di: 2024 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2024, gbr, 2024) [Contributo in Atti di convegno]
Negri, Virginia; Zanella, Samuel; Mingotti, Alessandro; Tinarelli, Roberto; Peretto, Lorenzo; Barchi, Francesco; Acquaviva, Andrea, Towards the DT of an Educational Building: An AI-Based Distributed Measurement System for the Power Forecasting, in: IEEE 14th International Workshop on Applied Measurements for Power Systems (AMPS), 2024, pp. 1 - 6 (atti di: IEEE 14th International Workshop on Applied Measurements for Power Systems (AMPS), Caserta, 09/24) [Contributo in Atti di convegno]
Ciani, Maicol; Parisi, Emanuele; Musa, Alberto; Barchi, Francesco; Bartolini, Andrea; Kulmala, Ari; Psiakis, Rafail; Garofalo, Angelo; Acquaviva, Andrea; Rossi, Davide, Unleashing OpenTitan’s Potential: a Silicon-Ready Embedded Secure Element for Root of Trust and Cryptographic Offloading, «ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS», 2024, 24, Article number: 67, pp. 1 - 29 [articolo]
Zanatta, Luca; Di Mauro, Alfio; Barchi, Francesco; Bartolini, Andrea; Benini, Luca; Acquaviva, Andrea, Directly-trained Spiking Neural Networks for Deep Reinforcement Learning: Energy efficient implementation of event-based obstacle avoidance on a neuromorphic accelerator, «NEUROCOMPUTING», 2023, 562, Article number: 126885, pp. 1 - 12 [articolo]Open Access
Scocciolini, Daniele; Romanazzi, Antonio; Virgulto, Giorgio; Parisi, Emanuele; Barchi, Francesco; Acquaviva, Andrea; Savoia, Marco; Buratti, Nicola, Dynamic identification of a masonry structure through a MEMS based monitoring system, in: Journal of Physics: Conference Series, 2023, 2647, pp. 1 - 9 (atti di: EURODYN 2023, Delft, Netherlands, 03 July 2023 through 05 July 2023) [Contributo in Atti di convegno]
Borghesi, Andrea; Di Santi, Carmine; Molan, Martin; Ardebili, Mohsen Seyedkazemi; Mauri, Alessio; Guarrasi, Massimiliano; Galetti, Daniela; Cestari, Mirko; Barchi, Francesco; Benini, Luca; Beneventi, Francesco; Bartolini, Andrea, M100 ExaData: a data collection campaign on the CINECA's Marconi100 Tier-0 supercomputer, «SCIENTIFIC DATA», 2023, 10, Article number: 288, pp. 1 - 10 [articolo]Open Access
Lumpp, Francesco; Barchi, Francesco; Acquaviva, Andrea; Bombieri, Nicola, On the Containerization and Orchestration of RISC-V architectures for Edge-Cloud computing, in: ACM International Conference Proceeding Series, 1601 Broadway, 10th Floor, NEW YORK, NY, UNITED STATES, Association for Computing Machinery, 2023, pp. 21 - 28 (atti di: 3rd Eclipse Security, AI, Architecture and Modelling Conference on Cloud to Edge Continuum, eSAAM 2023, co-located with EclipseCon 2023, Ludwigsburg, Germany, 2023) [Contributo in Atti di convegno]Open Access
Fornaciari, William; Reghenzani, Federico; Agosta, Giovanni; Zoni, Davide; Galimberti, Andrea; Conti, Francesco; Tortorella, Yvan; Parisi, Emanuele; Barchi, Francesco; Bartolini, Andrea; Acquaviva, Andrea; Gregori, Daniele; Cognetta, Salvatore; Ciancarelli, Carlo; Leboffe, Antonio; Serri, Paolo; Burrello, Alessio; Pagliari, Daniele Jahier; Urgese, Gianvito; Martina, Maurizio; Masera, Guido; Di Carlo, Rosario; Sciarappa, Antonio, RISC-V Processor Technologies for Aerospace Applications in the ISOLDE Project, in: Embedded Computer Systems: Architectures, Modeling, and Simulation. SAMOS 2023. Lecture Notes in Computer Science, «LECTURE NOTES IN COMPUTER SCIENCE», 2023, 14385, pp. 363 - 378 (atti di: SAMOS 2023, Samos, Greece, 2023) [Contributo in Atti di convegno]
Barchi F.; Pasini G.; Parisi E.; Tagliavini G.; Bartolini A.; Acquaviva A., RUST-Encoded Stream Ciphers on a RISC-V Parallel Ultra-Low-Power Processor, in: OpenAccess Series in Informatics, Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, «OPEN ACCESS SERIES IN INFORMATICS», 2023, 107, pp. 1 - 12 (atti di: 14th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 12th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms, PARMA-DITAM 2023, francia, 2023) [Contributo in Atti di convegno]
MOALLEMI, AMIRHOSSEIN; ZANATTA, LUCA; BURRELLO, ALESSIO; SALVARO, MATTIA; LONGO, MONICA; DARO, PAOLA; BARCHI, FRANCESCO; BRUNELLI, DAVIDE; BENINI, LUCA; ACQUAVIVA, ANDREA, UNSUPERVISED VEHICLE CLASSIFICATION USING A STRUCTURAL HEALTH MONITORING SYSTEM, in: STRUCTURAL HEALTH MONITORING 2023, 2023, pp. 1069 - 1076 (atti di: 14th international workshop on structural health monitoring, Stanford, California, 12-14th of September 2023) [Contributo in Atti di convegno]
Alberto Musa, Luca Zanatta, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva, A Method for Accelerated Simulations of Reinforcement Learning Tasks of UAVs in AirSim, in: SIMUL 2022, The Fourteenth International Conference on Advances in System Simulation, OTH Regensburg, Frank Herrmann, 2022, pp. 46 - 53 (atti di: SIMUL 2022, The Fourteenth International Conference on Advances in System Simulation, Lisbon, Portugal, from October 16, 2022 to October 20, 2022) [Contributo in Atti di convegno]
Zanatta L.; Barchi F.; Bartolini A.; Acquaviva A., Artificial versus spiking neural networks for reinforcement learning in UAV obstacle avoidance, in: ACM International Conference Proceeding Series, Association for Computing Machinery, 2022, pp. 199 - 200 (atti di: 19th ACM International Conference on Computing Frontiers, CF 2022, Castello del Valentino, ita, 2022) [Contributo in Atti di convegno]
Barchi, Francesco; Parisi, Emanuele; Bartolini, Andrea; Acquaviva, Andrea, Deep Learning Approaches to Source Code Analysis for Optimization of Heterogeneous Systems: Recent Results, Challenges and Opportunities, «JOURNAL OF LOW POWER ELECTRONICS AND APPLICATIONS», 2022, 12, Article number: 37, pp. 1 - 26 [articolo]Open Access
Bartolini A.; Ficarelli F.; Parisi E.; Beneventi F.; Barchi F.; Gregori D.; Magugliani F.; Cicala M.; Gianfreda C.; Cesarini D.; Acquaviva A.; Benini L., Monte Cimone: Paving the Road for the First Generation of RISC-V High-Performance Computers, in: Proceedings of the 2022 IEEE 35th International System-on-Chip Conference (SOCC), 2022, 2022-September, pp. 1 - 6 (atti di: 2022 IEEE 35th International System-on-Chip Conference (SOCC), Belfast, 05/09/2022) [Contributo in Atti di convegno]Open Access
