Foto del docente

Luca Benini

Full Professor

Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi"

Academic discipline: ING-INF/01 Electronic Engineering

Publications

Burrello, A; Morghet, FB; Scherer, M; Benatti, S; Benini, L; Maciii, E; Poncinot, M; Pagliarit, DJ, Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition, in: DATE 2022, 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, 2022, pp. 1443 - 1448 (atti di: DATE 22, Online, 2022) [Contribution to conference proceedings]Open Access

Donati, Riccardo; Kartsch, Victor; Benini, Luca; Benatti, Simone, BioWolf16: a 16-channel, 24-bit, 4kSPS Ultra-Low Power Platform for Wearable Clinical-grade Bio-potential Parallel Processing and Streaming, in: Proceedigns of the 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2022, 2022, pp. 2518 - 2522 (atti di: 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Glasgow, UK, 11-15 July 2022) [Contribution to conference proceedings]

Risso, Matteo; Burrello, Alessio; Benini, Luca; Macii, Enrico; Poncino, Massimo; Pagliari, Daniele Jahier, Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes, in: 2022 IEEE 13th International Green and Sustainable Computing Conference (IGSC), 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, 2022, pp. . - . (atti di: 2022 IEEE 13th International Green and Sustainable Computing Conference (IGSC), Pittsburgh, PA, USA, 24-25 October 2022) [Contribution to conference proceedings]

Ozsoy C.; Cossettini A.; Ozbek A.; Vostrikov S.; Hager P.; Dean-Ben X.L.; Benini L.; Razansky D., Compact optical link acquisition for high-speed optoacoustic imaging, in: Proc. SPIE 11960, Photons Plus Ultrasound: Imaging and Sensing 2022, 119600O (3 March 2022), «PROGRESS IN BIOMEDICAL OPTICS AND IMAGING», 2022, 11960, pp. . - . (atti di: Proc. SPIE 11960, Photons Plus Ultrasound: Imaging and Sensing 2022, 119600O (3 March 2022), San Francisco, CA, USA, January 22 - 23) [Contribution to conference proceedings]

Hersche M.; Karunaratne G.; Cherubini G.; Benini L.; Sebastian A.; Rahimi A., Constrained Few-shot Class-incremental Learning, in: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, 2022-June, pp. 9047 - 9057 (atti di: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, USA, 18-24 June 2022) [Contribution to conference proceedings]

Ottaviano A.; Balas R.; Bambini G.; Bonfanti C.; Benatti S.; Rossi D.; Benini L.; Bartolini A., ControlPULP: A RISC-V Power Controller for HPC Processors with Parallel Control-Law Computation Acceleration, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, Springer Science and Business Media Deutschland GmbH, 2022, 13511, pp. 120 - 135 (atti di: 22nd International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2021, grc, 2022) [Contribution to conference proceedings]

Moritz Scherer; Georg Rutishauser; Lukas Cavigelli; Luca Benini, CUTIE: Beyond PetaOp/s/W Ternary DNN Inference Acceleration with Better-than-Binary Energy Efficiency, «IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS», 2022, 41, pp. 1020 - 1033 [Scientific article]Open Access

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 [Scientific article]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) [Contribution to conference proceedings]

Gomez, Andres; Tretter, Andreas; Hager, Pascal Alexander; Sanmugarajah, Praveenth; Benini, Luca; Thiele, Lothar, Data-flow Driven Partitioning of Machine Learning Applications for Optimal Energy Use in Batteryless Systems, «ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS», 2022, ., pp. . - . [Scientific article]

Ostovar I.; Niculescu V.; Muller H.; Polonelli T.; Magno M.; Benini L., Demo Abstract: Towards Reliable Obstacle Avoidance for Nano-UAVs, in: 2022 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2022, pp. 501 - 502 (atti di: 2022 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), Milano, Italy, 04-06 May 2022) [Contribution to conference proceedings]

Patent n. US11227656B1, Device for high dimensional encoding.

Alessio Burrello; Daniele Jahier Pagliari; Pierangelo Maria Rapa; Matilde Semilia; Matteo Risso; Tommaso Polonelli; Massimo Poncino; Luca Benini; Simone Benatti, Embedding Temporal Convolutional Networks for Energy-efficient PPG-based Heart Rate Monitoring, «ACM TRANSACTIONS ON COMPUTING FOR HEALTHCARE», 2022, 3, pp. 1 - 25 [Scientific article]

Ingolfsson T.M.; Cossettini A.; Benatti S.; Benini L., Energy-Efficient Tree-Based EEG Artifact Detection, in: 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022, 2022-July, pp. 3723 - 3728 (atti di: 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC),, Glasgow, Scotland, United Kingdom, 11 - 15 July 2022) [Contribution to conference proceedings]

Amirhossein Moallemi; Alessio Burrello; Davide Brunelli; Luca Benini, Exploring Scalable, Distributed Real-Time Anomaly Detection for Bridge Health Monitoring, «IEEE INTERNET OF THINGS JOURNAL», 2022, 9, Article number: 9729869 , pp. 17660 - 17674 [Scientific article]

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