Tortorella, Yvan; Bertaccini, Luca; Benini, Luca; Rossi, Davide; Conti, Francesco, RedMule: A mixed-precision matrix–matrix operation engine for flexible and energy-efficient on-chip linear algebra and TinyML training acceleration, «FUTURE GENERATION COMPUTER SYSTEMS», 2023, 149, pp. 122 - 135 [articolo]Open Access
Nadalini, D; Rusci, M; Benini, L; Conti, F, Reduced precision floating-point optimization for Deep Neural Network On-Device Learning on microcontrollers, «FUTURE GENERATION COMPUTER SYSTEMS», 2023, 149, pp. 212 - 226 [articolo]
Scherer, M; Eggimann, M; Di Mauro, A; Prasad, AS; Conti, F; Rossi, D; Gómez, JT; Li, ZY; Sarwar, SS; Wang, Z; De Salvo, B; Benini, L, Siracusa: A Low-Power On-Sensor RISC-V SoC for Extended Reality Visual Processing in 16nm CMOS, in: ESSCIRC 2023- IEEE 49th European Solid State Circuits Conference (ESSCIRC), 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, «PROCEEDINGS OF ESSCIRC», 2023, pp. 217 - 220 (atti di: ESSCIRC 2023- IEEE 49th European Solid State Circuits Conference (ESSCIRC), Lisbon, Portugal, 2023) [Contributo in Atti di convegno]
Prasad, AS; Benini, L; Conti, F, Specialization meets Flexibility: a Heterogeneous Architecture for High-Efficiency, High-flexibility AR/VR Processing, in: 2023 60th ACM/IEEE Design Automation Conference (DAC), 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, 2023, pp. 1 - 6 (atti di: 2023 60th ACM/IEEE Design Automation Conference (DAC), San Francisco, USA, 2023) [Contributo in Atti di convegno]
Macan L.; Burrello A.; Benini L.; Conti F., WIP: Automatic DNN Deployment on Heterogeneous Platforms: The GAP9 Case Study, in: 2023 International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES), 2023, pp. 9 - 10 (atti di: 2023 International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES), Hamburg, Germany, 2023) [Contributo in Atti di convegno]
Garofalo, A; Ottavi, G; Conti, F; Karunaratne, G; Boybat, I; Benini, L; Rossi, D, A Heterogeneous In-Memory Computing Cluster for Flexible End-to-End Inference of Real-World Deep Neural Networks, «IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS», 2022, 12, pp. 422 - 435 [articolo]Open Access
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]
Garofalo, Angelo; Tortorella, Yvan; Perotti, Matteo; Valente, Luca; Nadalini, Alessandro; Benini, Luca; Rossi, Davide; Conti, Francesco, Darkside: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training, «IEEE OPEN JOURNAL OF SOLID-STATE CIRCUITS», 2022, 1, pp. 1 - 1 [articolo]Open Access
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]
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
