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Luca Benini

Professore ordinario

Dipartimento di Ingegneria dell'Energia Elettrica e dell'Informazione "Guglielmo Marconi"

Settore scientifico disciplinare: IINF-01/A Elettronica

Pubblicazioni

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]

Molan M.; Borghesi A.; Benini L.; Bartolini A., Semi-supervised anomaly detection on a Tier-0 HPC system, in: CF '22: Proceedings of the 19th ACM International Conference on Computing Frontiers, 2022, pp. 203 - 204 (atti di: CF '22 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17 - 22, 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.; Cavalcante M.; Scheffler P.; Bertaccini L.; Zhang Y.; Gurkaynak F.; Benini L., Soft Tiles: Capturing Physical Implementation Flexibility for Tightly-Coupled Parallel Processing Clusters, in: 2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2022, 2022-July, pp. 44 - 49 (atti di: 2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Nicosia, Cyprus, 04-06 July 2022) [Contributo in Atti di convegno]Open Access

Cavalcante, Matheus; Wüthrich, Domenic; Perotti, Matteo; Riedel, Samuel; Benini, Luca, Spatz: A Compact Vector Processing Unit for High-Performance and Energy-Efficient Shared-L1 Clusters, in: 2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, 2022, pp. 1 - 9 (atti di: 2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD), San Diego, CA, USA, 29 October 2022 - 03 November 2022) [Contributo in Atti di convegno]

Gianmarco Cerutti; Lukas Cavigelli; Renzo Andri; Michele Magno; Elisabetta Farella; Luca Benini, Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks, «IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. I, REGULAR PAPERS», 2022, 69, pp. 2002 - 2012 [articolo]

Rutishauser, G; Scherer, M; Fischer, T; Benini, L, Ternarized TCN for mu J/Inference Gesture Recognition from DVS Event Frames, in: 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), NEW YORK, IEEE, «PROCEEDINGS - DESIGN, AUTOMATION, AND TEST IN EUROPE CONFERENCE AND EXHIBITION», 2022, pp. 736 - 741 (atti di: 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), Antwerp Belgium, 14-23 march 2022) [Contributo in Atti di convegno]Open Access

Lamberti, L; Niculescu, V; Barcis, M; Bellone, L; Natalizio, E; Benini, L; Palossi, D, Tiny-PULP-Dronets: Squeezing Neural Networks for Faster and Lighter Inference on Multi-Tasking Autonomous Nano-Drones, in: 2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, 2022, pp. 287 - 290 (atti di: 2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS), Incheon, Seoul, June 13-15 2022) [Contributo in Atti di convegno]

Niculescu, V; Mueller, H; Ostovar, I; Polonelli, T; Magno, M; Benini, L, Towards a Multi-Pixel Time-of-Flight Indoor Navigation System for Nano-Drone Applications, in: 2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, «CONFERENCE PROCEEDINGS - IEEE INSTRUMENTATION/MEASUREMENT TECHNOLOGY CONFERENCE», 2022, pp. 1 - 6 (atti di: 2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Ottawa, ON, Canada, 16-19 May 2022) [Contributo in Atti di convegno]

Cioflan, C; Cavigelli, L; Rusci, M; de Prado, M; Benini, L, Towards On-device Domain Adaptation for Noise-Robust Keyword Spotting, in: 2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, 2022, pp. 82 - 85 (atti di: 2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS), Incheon, Korea Republic of, 13-15 June) [Contributo in Atti di convegno]

Amatetti, C; Polonelli, T; Masina, E; Moatti, C; Mikhaylov, D; Amato, D; Vanelli-Coralli, A; Magno, M; Benini, L, Towards the Future Generation of Railway Localization and Signaling Exploiting sub-meter RTK GNSS, in: IEEE Sensors Applications Symposium (SAS), 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, 2022, pp. 1 - 6 (atti di: IEEE Sensors Applications Symposium (SAS), Sundsvall, Sweden, 1-3 August 2022) [Contributo in Atti di convegno]

Alessio Burrello; Giovanni Zara; Luca Benini; Davide Brunelli; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari, Traffic Load Estimation from Structural Health Monitoring sensors using supervised learning, «SUSTAINABLE COMPUTING», 2022, 35, pp. 100704 - 100719 [articolo]

Spallanzani, Matteo; Leonardi, Gian Paolo; Benini, Luca, Training Quantised Neural Networks with STE Variants: the Additive Noise Annealing Algorithm, in: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, pp. 470 - 479 (atti di: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, USA, 18-24 June 2022) [Contributo in Atti di convegno]

Tabanelli, E.; Brunelli, D.; Acquaviva, A.; Benini, L., Trimming Feature Extraction and Inference for MCU-based Edge NILM: a Systematic Approach, «IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS», 2022, 18, Article number: 9426443, pp. 943 - 952 [articolo]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]

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