Matteo Perotti; Giuseppe Tagliavini; Stefan Mach; Luca Bertaccini; Luca Benini, RVfplib: A Fast and Compact Open-Source Floating-Point Emulation Library for Tiny RISC-V Processors, in: ETH Bibliography, SAMOS XXI - International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, 2021, pp. . - . (atti di: SAMOS XXI - International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, Samos Island, Greece, 5-7 july 2021) [Contributo in Atti di convegno]
Risso M.; Burrello A.; Pagliari D.J.; Benatti S.; Macii E.; Benini L.; Poncino M., Robust and energy-efficient PPG-based heart-rate monitoring, in: Proceedings - IEEE International Symposium on Circuits and Systems, 345 E 47TH ST, NEW YORK, NY 10017 USA, Institute of Electrical and Electronics Engineers Inc., 2021, 2021-, pp. 1 - 5 (atti di: 53rd IEEE International Symposium on Circuits and Systems, ISCAS 2021, CONFlux and Hotel Inter-Burgo Daegu, kor, 2021) [Contributo in Atti di convegno]
de Prado M.; Rusci M.; Donze R.; Capotondi A.; Monnerat S.; Benini L.; Pazos N., Robustifying the deployment of tinyML models for autonomous mini-vehicles, in: Proceedings - IEEE International Symposium on Circuits and Systems, 345 E 47TH ST, NEW YORK, NY 10017 USA, Institute of Electrical and Electronics Engineers Inc., 2021, 2021-, pp. 1 - 5 (atti di: 53rd IEEE International Symposium on Circuits and Systems, ISCAS 2021, CONFlux and Hotel Inter-Burgo Daegu, kor, 2021) [Contributo in Atti di convegno]
Klinefelter A.; Liu H.; Benini L.; Thonnart Y.; Bowman K.; Wilcox K.; Bol D.; Loke A.; Shacham O., SE2: Going Remote: Challenges and Opportunities to Remote Learning, Work, and Collaboration, in: Digest of Technical Papers - IEEE International Solid-State Circuits Conference, Institute of Electrical and Electronics Engineers Inc., «DIGEST OF TECHNICAL PAPERS - IEEE INTERNATIONAL SOLID-STATE CIRCUITS CONFERENCE», 2021, 64, pp. 539 - 540 (atti di: 2021 IEEE International Solid-State Circuits Conference, ISSCC 2021, usa, 2021) [Contributo in Atti di convegno]
Zanghieri M.; Benatti S.; Burrello A.; Kartsch Morinigo V.J.; Meattini R.; Palli G.; Melchiorri C.; Benini L., SEMG-based Regression of Hand Kinematics with Temporal Convolutional Networks on a Low-Power Edge Microcontroller, 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]Open Access
Lim S.; Benini L.; Sze V., Session 9 Overview: ML Processors from Cloud to Edge Machine Learning Subcommittee, in: Digest of Technical Papers - IEEE International Solid-State Circuits Conference, Institute of Electrical and Electronics Engineers Inc., «DIGEST OF TECHNICAL PAPERS - IEEE INTERNATIONAL SOLID-STATE CIRCUITS CONFERENCE», 2021, 64, pp. 142 - 143 (atti di: 2021 IEEE International Solid-State Circuits Conference, ISSCC 2021, usa, 2021) [Contributo in Atti di convegno]
Wang X.; Geiger F.; Niculescu V.; Magno M.; Benini L., SmartHand: Towards embedded smart hands for prosthetic and robotic applications, in: 2021 IEEE Sensors Applications Symposium, SAS 2021 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 1 - 6 (atti di: 2021 IEEE Sensors Applications Symposium, SAS 2021, swe, 2021) [Contributo in Atti di convegno]
Zaruba, F.; Schuiki, F.; Hoefler, T.; Benini, L., Snitch: A Tiny Pseudo Dual-Issue Processor for Area and Energy Efficient Execution of Floating-Point Intensive Workloads, «IEEE TRANSACTIONS ON COMPUTERS», 2021, 70, pp. 1845 - 1860 [articolo]
Schuiki F.; Zaruba F.; Hoefler T.; Benini L., Stream Semantic Registers: A Lightweight RISC-V ISA Extension Achieving Full Compute Utilization in Single-Issue Cores, «IEEE TRANSACTIONS ON COMPUTERS», 2021, 70, Article number: 9068465, pp. 212 - 227 [articolo]Open Access
Montagna, Fabio; Tagliavini, Giuseppe; Rossi, Davide; Garofalo, Angelo; Benini, Luca, Streamlining the OpenMP Programming Model on Ultra-Low-Power Multi-core MCUs, in: Architecture of Computing Systems, Cham, Springer, «LECTURE NOTES IN COMPUTER SCIENCE», 2021, 12800, pp. 167 - 182 (atti di: 34th International Conference on Architecture of Computing Systems, Online, 7-8 Giugno 2021) [Contributo in Atti di convegno]Open Access
Di Nuzzo, F.; Brunelli, D.; Polonelli, T.; Benini, L., Structural Health Monitoring System with Narrowband IoT and MEMS Sensors, «IEEE SENSORS JOURNAL», 2021, 21, Article number: 9410570, pp. 16371 - 16380 [articolo]Open Access
Wang, Xiaying; Cavigelli, Lukas; Schneider, Tibor; Benini, Luca, Sub-100 $\mu$W Multispectral Riemannian Classification for EEG-Based Brain–Machine Interfaces, «IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS», 2021, 15, Article number: 9658220, pp. 1149 - 1160 [articolo]Open Access
Burrello A.; Dequino A.; Pagliari D.J.; Conti F.; Zanghieri M.; MacIi E.; Benini L.; Poncino M., TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference, in: Proceedings of the International Symposium on Low Power Electronics and Design, NEW YORK, Institute of Electrical and Electronics Engineers Inc., 2021, 2021, pp. 1 - 6 (atti di: 2021 IEEE/ACM International Symposium on Low Power Electronics and Design, ISLPED 2021, Stati Uniti D'America, 2021) [Contributo in Atti di convegno]Open Access
Alessio Burrello; Alberto Dequino; Daniele Jahier Pagliari; Francesco Conti; Marcello Zanghieri; Enrico Macii; Luca Benini; Massimo Poncino, TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference, in: 2021 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, 2021, 2021-July, pp. 1 - 6 (atti di: 2021 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), Boston, MA, USA, 26-28 July 2021) [Contributo in Atti di convegno]
Burrello A.; Zanghieri M.; Sarti C.; Ravaglia L.; Benatti S.; Benini L., Tackling time-variability in semg-based gesture recognition with on-device incremental learning and temporal convolutional networks, in: 2021 IEEE Sensors Applications Symposium, SAS 2021 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 1 - 6 (atti di: 2021 IEEE Sensors Applications Symposium, SAS 2021, swe, 2021) [Contributo in Atti di convegno]
