Evelina Forno; Andrea Acquaviva; Yuki Kobayashi; Enrico Macii; Gianvito Urgese, A Parallel Hardware Architecture For Quantum Annealing Algorithm Acceleration, in: Proceedings of IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC) 2018, IFIP/IEEE, in corso di stampa, pp. 1 - 6 (atti di: IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC) 2018, Verona, 8-10 October 2018) [Contributo in Atti di convegno]
Bottaccioli, Lorenzo; Estebsari, Abouzar; Patti, Edoardo; Pons, Enrico; Acquaviva, Andrea, Planning and Real-time Management of Smart Grids with High PV Penetration in Low Voltage, «PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS. ENGINEERING SUSTAINABILITY», in corso di stampa, 1, pp. 1 - 40 [articolo]
Jati, Grafika; Molan, Martin; Khan, Junaid Ahmed; Barchi, Francesco; Bartolini, Andrea; Mercurio, Giuseppe; Acquaviva, Andrea, AutoGrAN: Autonomous Vehicle LiDAR Contaminant Detection using Graph Attention Networks, in: May 2024, 2024, pp. 112 - 119 (atti di: Companion of the 15th ACM/SPEC International Conference on Performance Engineering, London, United Kingdom, May 7–11, 2024) [Contributo in Atti di convegno]
Alessia Pisu; Nicola Elia; Livio Pompianu; Francesco Barchi; Andrea Acquaviva; Salvatore Carta, Enhancing workplace safety: A flexible approach for personal protective equipment monitoring, «EXPERT SYSTEMS WITH APPLICATIONS», 2024, 238, Article number: 122285, pp. 1 - 16 [articolo]Open Access
Seyedkazemi Ardebili, Mohsen; Acquaviva, Andrea; Benini, Luca; Bartolini, Andrea, HazardNet: A thermal hazard prediction framework for datacenters, «FUTURE GENERATION COMPUTER SYSTEMS», 2024, 155, pp. 340 - 353 [articolo]
Grafika Jati, Martin Molan, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva, TinyLid: a RISC-V accelerated Neural Network For LiDAR Contaminant Classification in Autonomous Vehicle, in: 2024, 2024, pp. 249 - 257 (atti di: 21st ACM International Conference on Computing Frontiers (CF' 24), Ischia, Italy, May 7 - 9, 2024) [Contributo in Atti di convegno]
Mohsen Seyedkazemi Ardebili; Andrea ACQUAVIVA; LUCA BENINI; Andrea Bartolini, Dataset of the HazardNet: A Thermal Hazard Prediction Framework for Datacenters, 2023. [banche dati]
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
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]
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
Ficarelli F.; Bartolini A.; Parisi E.; Beneventi F.; Barchi F.; Gregori D.; Magugliani F.; Cicala M.; Gianfreda C.; Cesarini D.; Acquaviva A.; Benini L., Poster: Meet Monte Cimone: Exploring RISC-V High Performance Compute Clusters, in: ACM International Conference Proceeding Series, Association for Computing Machinery, 2022, pp. 207 - 208 (atti di: 19th ACM International Conference on Computing Frontiers, CF 2022, Castello del Valentino, ita, 2022) [Contributo in Atti di convegno]
