Molan, M.; Seyedkazemi Ardebili, Mohsen; Khan, J. A.; Beneventi, F.; Cesarini, D.; Borghesi, A.; Bartolini, A., GRAAFE: GRaph anomaly anticipation framework for exascale HPC systems, «FUTURE GENERATION COMPUTER SYSTEMS», 2024, 160, pp. 644 - 653 [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]
Jati, Grafika; Molan, Martin; Barchi, Francesco; Bartolini, Andrea; Mercurio, Giuseppe; Acquaviva, Andrea, LIDAROC: Realistic LiDAR Cover Contamination Dataset for Enhancing Autonomous Vehicle Perception Reliability, «IEEE SENSORS LETTERS», 2024, 8, Article number: 1502404, pp. 1 - 4 [articolo]Open Access
Antici, Francesco; Bartolini, Andrea; Kiziltan, Zeynep; Babaoglu, Ozalp; Kodama, Yuetsu, MCBound: An Online Framework to Characterize and Classify Memory/Compute-bound HPC Jobs, in: SC '24: Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis, New York, IEEE, 2024, pp. 1 - 15 (atti di: International Conference for High Performance Computing, Networking, Storage, and Analysis 24, Atlanta, 17-21 November 2024) [Contributo in Atti di convegno]Open Access
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) [Contributo in Atti di convegno]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) [Contributo in Atti di convegno]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., «PROCEEDINGS - DESIGN, AUTOMATION, AND TEST IN EUROPE CONFERENCE AND EXHIBITION», 2024, pp. 1 - 6 (atti di: 2024 Design, Automation and Test in Europe Conference and Exhibition, DATE 2024, Valencia Conference Centre (VCC), esp, 2024) [Contributo in Atti di convegno]
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]
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]
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. . - . [articolo]Open Access
Mohsen Seyedkazemi Ardebili; Andrea ACQUAVIVA; LUCA BENINI; Andrea Bartolini, Dataset of the HazardNet: A Thermal Hazard Prediction Framework for Datacenters, 2023. [banche dati]
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) [Contributo in Atti di convegno]
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
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 [articolo]Open Access
