Foto del docente

Francesco Conti

Ricercatore a tempo determinato tipo a) (junior)

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

Settore scientifico disciplinare: ING-INF/01 ELETTRONICA

Pubblicazioni

Rossi D.; Conti F.; Eggiman M.; Mach S.; Mauro A.D.; Guermandi M.; Tagliavini G.; Pullini A.; Loi I.; Chen J.; Flamand E.; Benini L., 4.4 A 1.3TOPS/W @ 32GOPS Fully Integrated 10-Core SoC for IoT End-Nodes with 1.7μW Cognitive Wake-Up from MRAM-Based State-Retentive Sleep Mode, in: Digest of Technical Papers - IEEE International Solid-State Circuits Conference, Piscataway, NJ, Institute of Electrical and Electronics Engineers Inc., «DIGEST OF TECHNICAL PAPERS - IEEE INTERNATIONAL SOLID-STATE CIRCUITS CONFERENCE», 2021, 64, pp. 60 - 62 (atti di: 2021 IEEE International Solid-State Circuits Conference, ISSCC 2021, usa, 2021) [Contributo in Atti di convegno]

Ottavi G.; Garofalo A.; Tagliavini G.; Conti F.; Benini L.; Rossi D., A mixed-precision RISC-V processor for extreme-edge DNN inference, in: Proceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI, IEEE Computer Society, «PROCEEDINGS IEEE COMPUTER SOCIETY ANNUAL SYMPOSIUM ON VLSI», 2020, 2020-, pp. 512 - 517 (atti di: 19th IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2020, Cyprus, 2020) [Contributo in Atti di convegno]Open Access

Alfio Di Mauro, Francesco Conti, Pasquale Davide Schiavone, Davide Rossi, Luca Benini, Always-On 674μW@4GOP/s Error Resilient Binary Neural Networks With Aggressive SRAM Voltage Scaling on a 22-nm IoT End-Node, «IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. I, REGULAR PAPERS», 2020, 67, pp. 3905 - 3918 [articolo]

Nazareno Bruschi, Angelo Garofalo, Francesco Conti, Giuseppe Tagliavini, Davide Rossi, Enabling mixed-precision quantized neural networks in extreme-edge devices, in: 17th ACM International Conference on Computing Frontiers 2020, CF 2020 - Proceedings, New York, Association for Computing Machinery, Inc, 2020, pp. 217 - 220 (atti di: 17th ACM International Conference on Computing Frontiers, CF 2020, Catania (Italy), 11 Maggio 2020 - 13 Maggio 2020) [Contributo in Atti di convegno]Open Access

Meloni, Paolo; Loi, Daniela; Deriu, Gianfranco; Carreras, Marco; Conti, Francesco; Capotondi, Alessandro; Rossi, Davide, Exploring NEURAGHE: A Customizable Template for APSoC-based CNN Inference at the Edge, «IEEE EMBEDDED SYSTEMS LETTERS», 2020, 12, pp. 62 - 65 [articolo]Open Access

Ravaglia L.; Rusci M.; Capotondi A.; Conti F.; Pellegrini L.; Lomonaco V.; Maltoni D.; Benini L., Memory-Latency-Accuracy Trade-Offs for Continual Learning on a RISC-V Extreme-Edge Node, in: IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation, Institute of Electrical and Electronics Engineers Inc., 2020, 2020-, pp. 1 - 6 (atti di: 34th IEEE Workshop on Signal Processing Systems, SiPS 2020, prt, 2020) [Contributo in Atti di convegno]

Garofalo A.; Rusci M.; Conti F.; Rossi D.; Benini L., PULP-NN: Accelerating Quantized Neural Networks on Parallel Ultra-Low-Power RISC-V Processors, «PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY OF LONDON SERIES A: MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES», 2020, 378, pp. 1 - 22 [articolo]Open Access

Zanghieri, Marcello; Benatti, Simone; Burrello, Alessio; Kartsch, Victor; Conti, Francesco; Benini, Luca, Robust Real-Time Embedded EMG Recognition Framework Using Temporal Convolutional Networks on a Multicore IoT Processor, «IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS», 2020, 14, pp. 244 - 256 [articolo]Open Access

Zanghieri M.; Benatti S.; Conti F.; Burrello A.; Benini L., Temporal Variability Analysis in sEMG Hand Grasp Recognition using Temporal Convolutional Networks, in: Proceedings - 2020 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2020, Institute of Electrical and Electronics Engineers Inc., 2020, pp. 228 - 232 (atti di: 2020 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2020, ita, 2020) [Contributo in Atti di convegno]

Garofalo, Angelo; Tagliavini, Giuseppe; Conti, Francesco; Rossi, Davide; Benini, Luca, XpulpNN: Accelerating Quantized Neural Networks on RISC-V Processors Through ISA Extensions, in: Proceedings of the 2020 Design, Automation and Test in Europe Conference and Exhibition (DATE), Institute of Electrical and Electronics Engineers Inc. (IEEE), 2020, pp. 186 - 191 (atti di: 23rd Design, Automation and Test in Europe Conference and Exhibition, DATE 2020, Grenoble, France, 9-13 March 2020) [Contributo in Atti di convegno]

Palossi, Daniele; Loquercio, Antonio; Conti, Francesco; Flamand, Eric; Scaramuzza, Davide; Benini, Luca, A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones, «IEEE INTERNET OF THINGS JOURNAL», 2019, 6, pp. 8357 - 8371 [articolo]

Palossi D.; Conti F.; Benini L., An Open Source and Open Hardware Deep Learning-Powered Visual Navigation Engine for Autonomous Nano-UAVs, in: Proceedings - 15th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2019, Institute of Electrical and Electronics Engineers Inc., 2019, pp. 604 - 611 (atti di: 15th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2019, Santorini Island, Greece, 29-31 May 2019) [Contributo in Atti di convegno]Open Access

Meloni P.; Loi D.; Busia P.; Deriu G.; Pimentel A.D.; Sapra D.; Stefanov T.; Minakova S.; Conti F.; Benini L.; Pintor M.; Biggio B.; Moser B.; Shepelev N.; Fragoulis N.; Theodorakopoulos I.; Masin M.; Palumbo F., Optimization and deployment of CNNs at the Edge: The ALOHA experience, in: Proceedings of the 16th ACM International Conference on Computing Frontiers, CF 2019, New York, Association for Computing Machinery, Inc, 2019, pp. 326 - 332 (atti di: 16th ACM International Conference on Computing Frontiers, CF 2019, Alghero, Italia, 2019, 30.04-02.05) [Contributo in Atti di convegno]Open Access

Di Mauro, Alfio; Conti, Francesco; Schiavone, Pasquale Davide; Rossi, Davide; Benini, Luca, Pushing On-chip Memories Beyond Reliability Boundaries in Micropower Machine Learning Applications, in: 65th Annual IEEE International Electron Devices Meeting, IEDM 2019, «TECHNICAL DIGEST - INTERNATIONAL ELECTRON DEVICES MEETING», 2019, pp. 30.4.1 - 30.4.4 (atti di: 65th Annual IEEE International Electron Devices Meeting, IEDM 2019, San Francisco, CA, USA, 7-11 December 2019) [Contributo in Atti di convegno]

Burrello A.; Conti F.; Garofalo A.; Rossi D.; Benini L., Work-in-progress: Dory: Lightweight memory hierarchy management for deep NN inference on iot endnodes, in: Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis Companion, CODES/ISSS 2019, Association for Computing Machinery, Inc, 2019, pp. 1 - 2 (atti di: 2019 International Conference on Hardware/Software Codesign and System Synthesis, CODES/ISSS 2019, New York, October 2019) [Contributo in Atti di convegno]Open Access

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