Risso M.; Burrello A.; Benini L.; MacIi E.; Poncino M.; Pagliari D.J., Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks, in: ISLPED '22: Proceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design, 2022, pp. 1 - 6 (atti di: ISLPED '22: Proceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design, Online, 1-9-2022) [Contribution to conference proceedings]
Mohsen Seyedkazemi Ardebili; Andrea Bartolini; Luca Benini, Multi-level anomaly prediction in Tier-0 datacenter: a deep learning approach, in: Proceedings of the 19th ACM International Conference on Computing Frontiers, 2022, pp. 197 - 198 (atti di: CF'22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17-19, 2022) [Contribution to conference proceedings]
Rogenmoser M.; Wistoff N.; Vogel P.; Gurkaynak F.; Benini L., On-Demand Redundancy Grouping: Selectable Soft-Error Tolerance for a Multicore Cluster, in: 2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2022, 2022-July, pp. 398 - 401 (atti di: 2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Nicosia, Cyprus, 04-06 July 2022) [Contribution to conference proceedings]
Tabanelli E.; Tagliavini G.; Benini L., Optimizing Random Forest Based Inference on RISC-V MCUs at the Extreme Edge, «IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS», 2022, 41, pp. 4516 - 4526 [Scientific article]Open Access
Kuhne, Jonas; Magno, Michele; Benini, Luca, Parallelizing Optical Flow Estimation on an Ultra-Low Power RISC-V Cluster for Nano-UAV Navigation, in: IEEE International Symposium on Circuits and Systems (ISCAS), 2022, pp. 301 - 305 (atti di: IEEE International Symposium on Circuits and Systems (ISCAS), Austin, Texas, May 27 - June 1) [Contribution to conference proceedings]
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) [Contribution to conference proceedings]
Benini L.; Leroy Y.; Tolio T.; Magnanini M.C., Proposal of a strategic model to unlock the circular potential in industrial practice, in: Procedia CIRP, 2022, 109, pp. 233 - 238 (atti di: ., ., .) [Contribution to conference proceedings]Open Access
Benini, Luca, PULP: Extreme Energy Efficiency for Extreme Edge AI Acceleration, in: 2022 11th Mediterranean Conference on Embedded Computing (MECO), 2022, pp. 1 - 1 (atti di: 2022 11th Mediterranean Conference on Embedded Computing (MECO), Budva, Montenegro, 7-10 June 2022) [Contribution to conference proceedings]
Nadalini D.; Rusci M.; Tagliavini G.; Ravaglia L.; Benini L.; Conti F., PULP-TrainLib: Enabling On-Device Training for RISC-V Multi-core MCUs Through Performance-Driven Autotuning, in: Embedded Computer Systems: Architectures, Modeling, and Simulation, Springer, 2022, 13511, pp. 200 - 216 (atti di: 22nd International Conference, SAMOS 2022, Samos, Greece, July 3–7, 2022) [Contribution to conference proceedings]Open Access
Tortorella, Yvan; Bertaccini, Luca; Rossi, Davide; Benini, Luca; Conti, Francesco, RedMulE: A Compact FP16 Matrix-Multiplication Accelerator for Adaptive Deep Learning on RISC-V-Based Ultra-Low-Power SoCs, in: DATE '22: Proceedings of the 2022 Conference & Exhibition on Design, Automation & Test in Europe, 2022, pp. 1099 - 1102 (atti di: 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), Antwerp, Belgium, 14-23 March 2022) [Contribution to conference proceedings]
Thorir Mar Ingolfsson; Mark Vero; Xiaying Wang; Lorenzo Lamberti; Luca Benini; Matteo Spallanzani, Reducing neural architecture search spaces with training-free statistics and computational graph clustering, in: CF '22: Proceedings of the 19th ACM International Conference on Computing Frontiers, 2022, pp. 213 - 214 (atti di: 19th ACM International Conference on Computing Frontiers, Turin Italy, May 17 - 22, 2022) [Contribution to conference proceedings]
Bruschi N.; Tagliavini G.; Conti F.; Abadal S.; Cabellos-Aparicio A.; Alarcon E.; Karunaratne G.; Boybat I.; Benini L.; Rossi D., Scale up your In-Memory Accelerator: Leveraging Wireless-on-Chip Communication for AIMC-based CNN Inference, in: 2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2022, pp. 170 - 173 (atti di: Artificial Intelligence Circuits and Systems (AICAS), Incheon, Korea, Republic of Korea, 13-15 June 2022) [Contribution to conference proceedings]Open Access
Mattia Orlandi, Marcello Zanghieri, Victor Javier Kartsch Morinigo, Francesco Conti, Davide Schiavone, Luca Benini, Simone Benatti, sEMG Neural Spikes Reconstruction for Gesture Recognition on a Low-Power Multicore Processor. In: Biomedical Circuits and Systems, in: IEEE BioCAS Conference Proceedings 2022, 2022, pp. 704 - 708 (atti di: IEEE BioCAS Conference 2022, Taipei (TW), 13-15 October 2022) [Contribution to conference proceedings]
Molan M.; Borghesi A.; Benini L.; Bartolini A., Semi-supervised anomaly detection on a Tier-0 HPC system, in: CF '22: Proceedings of the 19th ACM International Conference on Computing Frontiers, 2022, pp. 203 - 204 (atti di: CF '22 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17 - 22, 2022) [Contribution to conference proceedings]
Alfio Di Mauro; Arpan Suravi Prasad; Zhikai Huang; Matteo Spallanzani; Francesco Conti; Luca Benini, SNE: an Energy-Proportional Digital Accelerator for Sparse Event-Based Convolutions, in: Proceedings of 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), IEEE, 2022, pp. 1 - 6 (atti di: 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), Antwerp, Belgium, 14-23 March 2022) [Contribution to conference proceedings]Open Access
