Daghero, F; Burrello, A; Xie, C; Benini, L; Calimera, A; Macii, E; Poncino, M; Pagliari, DJ, Low-Overhead Early-Stopping Policies for Efficient Random Forests Inference on Microcontrollers, in: IFIP/IEEE International Conference on Very Large Scale Integration - System on a Chip, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, SPRINGER INTERNATIONAL PUBLISHING AG, «IFIP ADVANCES IN INFORMATION AND COMMUNICATION TECHNOLOGY», 2022, 661, pp. 25 - 47 (atti di: IFIP/IEEE International Conference on Very Large Scale Integration - System on a Chip, Online, 2021) [Contributo in Atti di convegno]
Matheus Cavalcante; Anthony Agnesina; Samuel Riedel; Moritz Brunion; Alberto Garcia-Ortiz; Dragomir Milojevic; Francky Catthoor; Sung Kyu Lim; Luca Benini, MemPool-3D: Boosting Performance and Efficiency of Shared-L1 Memory Many-Core Clusters with 3D Integration, in: 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, «PROCEEDINGS - DESIGN, AUTOMATION, AND TEST IN EUROPE CONFERENCE AND EXHIBITION», 2022, pp. 394 - 399 (atti di: 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), Antwerp Belgium, 14-23 march 2022) [Contributo in Atti di convegno]
Bertaccini, Luca; Paulin, Gianna; Fischer, Tim; Mach, Stefan; Benini, Luca, MiniFloat-NN and ExSdotp: An ISA Extension and a Modular Open Hardware Unit for Low-Precision Training on RISC-V Cores, in: 2022 IEEE 29th Symposium on Computer Arithmetic (ARITH), 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA, IEEE COMPUTER SOC, 2022, pp. 1 - 8 (atti di: 2022 IEEE 29th Symposium on Computer Arithmetic (ARITH), Lyon, France, 12-14 September 2022) [Contributo in Atti di convegno]
Mayer P.; Magno M.; Benini L., Model-based design for self-sustainable sensor nodes, «ENERGY CONVERSION AND MANAGEMENT», 2022, 272, Article number: 116335, pp. 1 - 10 [articolo]Open Access
Bambini, Giovanni; Conficoni, Christian; Tilli, Andrea; Benini, Luca; Bartolini, Andrea, Modeling the Thermal and Power Control Subsystem in HPC Processors, in: 2022 IEEE Conference on Control Technology and Applications (CCTA), 2022, pp. . - . (atti di: 2022 IEEE Conference on Control Technology and Applications (CCTA), Trieste, Italy, 23-25 August 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
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) [Contributo in Atti di convegno]
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) [Contributo in Atti di convegno]
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) [Contributo in Atti di convegno]Open Access
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 [articolo]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) [Contributo in Atti di convegno]
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]
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, «PROCEDIA CIRP», 2022, 109, pp. 233 - 238 (atti di: ., ., .) [Contributo in Atti di convegno]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) [Contributo in Atti di convegno]
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) [Contributo in Atti di convegno]Open Access
