Angelo Garofalo; Matteo Perotti; Luca Valente; Yvan Tortorella; Alessandro Nadalini; Luca Benini; Davide Rossi; Francesco Conti, Darkside: 2.6GFLOPS, 8.7mW Heterogeneous RISC-V Cluster for Extreme-Edge On-Chip DNN Inference and Training, in: ESSCIRC 2022- IEEE 48th European Solid State Circuits Conference (ESSCIRC), 2022, pp. 273 - 276 (atti di: ESSCIRC 2022- IEEE 48th European Solid State Circuits Conference (ESSCIRC), Milano, Italy, 19/09/2022-22/09/2022) [Contributo in Atti di convegno]
Palossi D.; Zimmerman N.; Burrello A.; Conti F.; Muller H.; Gambardella L.M.; Benini L.; Giusti A.; Guzzi J., Fully Onboard AI-powered Human-Drone Pose Estimation on Ultra-low Power Autonomous Flying Nano-UAVs, «IEEE INTERNET OF THINGS JOURNAL», 2022, 9, Article number: 9462495, pp. 1913 - 1929 [articolo]Open Access
Abadal S.; Guirado R.; Taghvaee H.; Jain A.; Santana E.P.D.; Bolivar P.H.; Saeed M.; Negra R.; Wang Z.; Wang K.; Lemme M.C.; Klein J.; Zapater M.; Levisse A.; Atienza D.; Rossi D.; Conti F.; Dazzi M.; Karunaratne G.; Boybat I.; Sebastian A., Graphene-based Wireless Agile Interconnects for Massive Heterogeneous Multi-chip Processors, «IEEE WIRELESS COMMUNICATIONS», 2022, Early Access, pp. 1 - 8 [articolo]Open Access
Risso, Matteo; Burrello, Alessio; Conti, Francesco; Lamberti, Lorenzo; Chen, Yukai; Benini, Luca; Macii, Enrico; Poncino, Massimo; Jahier Pagliari, Daniele, Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge, «IEEE TRANSACTIONS ON COMPUTERS», 2022, 0, pp. 744 - 758 [articolo]Open Access
Mattia Orlandi, Marcello Zanghieri, Davide Schiavone, Elisa Donati, Francesco Conti, Simone Benatti, Motor-Unit Ordering of Blindly-Separated Surface-EMG Signals for Gesture Recognition, in: SYSINT 2022: Advances in System-Integrated Intelligence, Springer, 2022, pp. 518 - 529 (atti di: SYSINT 2022, Genova (IT), 7-9 September 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
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) [Contributo in Atti di convegno]
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) [Contributo in Atti di convegno]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) [Contributo in Atti di convegno]
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) [Contributo in Atti di convegno]Open Access
Paulin G.; Conti F.; Cavigelli L.; Benini L., Vau Da Muntanialas: Energy-Efficient Multi-Die Scalable Acceleration of RNN Inference, «IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. I, REGULAR PAPERS», 2022, 69, pp. 244 - 257 [articolo]
Rossi D.; Conti F.; Eggiman M.; Mauro A.D.; Tagliavini G.; Mach S.; Guermandi M.; Pullini A.; Loi I.; Chen J.; Flamand E.; Benini L., Vega: A Ten-Core SoC for IoT Endnodes with DNN Acceleration and Cognitive Wake-Up from MRAM-Based State-Retentive Sleep Mode, «IEEE JOURNAL OF SOLID-STATE CIRCUITS», 2022, 57, pp. 127 - 139 [articolo]Open Access
Alberto Dequino, Francesco Conti, Luca Benini, ViT-LR: Pushing the Envelope for Transformer-Based On-Device Embedded Continual Learning, in: 2022 13th International Green and Sustainable Computing Conference (IGSC), 2022(atti di: IGSC 2022 (The 13th International Green and Sustainable Computing Conference), Virtual, October 24 - 25 2022) [atti di convegno-poster]
Burrello A.; Scherer M.; Zanghieri M.; Conti F.; Benini L., A Microcontroller is All You Need: Enabling Transformer Execution on Low-Power IoT Endnodes, in: 2021 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2021, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 1 - 6 (atti di: 2021 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2021, esp, 2021) [Contributo in Atti di convegno]
Capra M.; Conti F.; Martina M., A Multi-Precision Bit-Serial Hardware Accelerator IP for Deep Learning Enabled Internet-of-Things, in: Midwest Symposium on Circuits and Systems, Institute of Electrical and Electronics Engineers Inc., «THE ... MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS CONFERENCE PROCEEDINGS», 2021, 2021-, pp. 192 - 197 (atti di: 2021 IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2021, usa, 2021) [Contributo in Atti di convegno]
