Manoni, S.; Scheffler, P.; Di Mauro, A.; Zanatta, L.; Acquaviva, A.; Benini, L.; Bartolini, A., NARS: Neuromorphic Acceleration through Register-Streaming Extensions on RISC-V Cores, in: Proceedings of the 21st ACM International Conference on Computing Frontiers 2024 Workshops and Special Sessions, CF 2024 Companion, New York, Association for Computing Machinery, Inc, 2024, pp. 79 - 82 (atti di: 21st ACM International Conference on Computing Frontiers, CF 2024, Ischia, Italy, 7-9 May 2024) [Contribution to conference proceedings]Open Access
Jati, Grafika; Molan, Martin; Barchi, Francesco; Bartolini, Andrea; Acquaviva, Andrea, TinyLid: a RISC-V accelerated Neural Network For LiDAR Contaminant Classification in Autonomous Vehicle, in: CF '24: Proceedings of the 21st ACM International Conference on Computing Frontiers, New York, ACM Association for Computing Machinery, 2024, pp. 249 - 257 (atti di: 21st ACM International Conference on Computing Frontiers (CF' 24), Ischia, Italy, May 7 - 9, 2024) [Contribution to conference proceedings]Open Access
Parisi, E.; Musa, A.; Manoni, S.; Ciani, M.; Rossi, D.; Barchi, F.; Bartolini, A.; Acquaviva, A., TitanCFI: Toward Enforcing Control-Flow Integrity in the Root-of-Trust, in: Proceedings - Design, Automation and Test in Europe, DATE, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 1 - 6 (atti di: 2024 Design, Automation and Test in Europe Conference and Exhibition, DATE 2024, Valencia Conference Centre (VCC), esp, 2024) [Contribution to conference proceedings]
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, 2024, 14988, pp. 169 - 183 (atti di: 43rd International Conference on Safety, Reliability and Security of Computer-based Systems, SAFECOMP 2024, ita, 2024) [Contribution to conference proceedings]
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) [Contribution to conference proceedings]
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 [Scientific article]
Ottaviano, Alessandro; Balas, Robert; Bambini, Giovanni; Del Vecchio, Antonio; Ciani, Maicol; Rossi, Davide; Benini, Luca; Bartolini, Andrea, ControlPULP: A RISC-V On-Chip Parallel Power Controller for Many-Core HPC Processors with FPGA-Based Hardware-In-The-Loop Power and Thermal Emulation, «INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING», 2023, ., pp. . - . [Scientific article]Open Access
Mohsen Seyedkazemi Ardebili; Andrea ACQUAVIVA; LUCA BENINI; Andrea Bartolini, Dataset of the HazardNet: A Thermal Hazard Prediction Framework for Datacenters, 2023. [Database]
Kunkel J.M.; Boehme C.; Decker J.; Magugliani F.; Pleiter D.; Koller B.; Sivalingam K.; Pllana S.; Nikolov A.; Soyturk M.; Racca C.; Bartolini A.; Tate A.; Yaman B., DECICE: Device-Edge-Cloud Intelligent Collaboration Framework, in: Proceedings of the 20th ACM International Conference on Computing Frontiers 2023, CF 2023, New York, NY, USA, Association for Computing Machinery, Inc, 2023, pp. 266 - 271 (atti di: 20th ACM International Conference on Computing Frontiers, CF 2023, italia, 2023) [Contribution to conference proceedings]
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 [Scientific article]Open Access
Borghesi, Andrea; Burrello, Alessio; Bartolini, Andrea, ExaMon-X: a Predictive Maintenance Framework for Automatic Monitoring in Industrial IoT Systems, «IEEE INTERNET OF THINGS JOURNAL», 2023, 10, pp. 2995 - 3005 [Scientific article]Open Access
Mittone, Gianluca; Tonci, Nicoló; Birke, Robert; Colonnelli, Iacopo; Medić, Doriana; Bartolini, Andrea; Esposito, Roberto; Parisi, Emanuele; Beneventi, Francesco; Polato, Mirko; Torquati, Massimo; Benini, Luca; Aldinucci, Marco, Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning, in: CF '23: Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023, pp. 73 - 83 (atti di: CF '23: Proceedings of the 20th ACM International Conference on Computing Frontiers, bologna, italy, 9-11 may 2023) [Contribution to conference proceedings]
Molan M.; Ahmed Khan J.; Borghesi A.; Bartolini A., Graph Neural Networks for Anomaly Anticipation in HPC Systems, in: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023, pp. 239 - 244 (atti di: International Conference on Performance Engineering, Coimbra, Portugal, April 2023) [Contribution to conference proceedings]
Varbanescu A.L.; Bartolini A., Graph-Optimizer: Towards Predictable Large-Scale Graph Processing Workloads, in: International Conference on Performance Engineering (ICPE '23 Companion), NY, ACM, 2023, pp. 255 - 256 (atti di: International Conference on Performance Engineering (ICPE '23 Companion), Coimbra, Portugal. A, April 15–19, 2023) [Contribution to conference proceedings]
Molan M.; Borghesi A.; Benini L.; Bartolini A., Machine Learning Methodologies to Support HPC Systems Operations: Anomaly Detection, in: Euro-Par 2022: Parallel Processing Workshops. Euro-Par 2022, Cham, Springer, 2023, 13835 LNCS, pp. 294 - 298 (atti di: Euro-Par 2022: Parallel Processing Workshops. Euro-Par 2022, Glasgow (Scotland), 22-26 Agosto 2022) [Contribution to conference proceedings]Open Access
