Francesco Conti
Francesco Conti
Tenure-Track Assistant Professor, University of Bologna
Verified email at - Homepage
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Slow and steady wins the race? A comparison of ultra-low-power RISC-V cores for Internet-of-Things applications
PD Schiavone, F Conti, D Rossi, M Gautschi, A Pullini, E Flamand, ...
2017 27th International Symposium on Power and Timing Modeling, Optimization …, 2017
GAP-8: A RISC-V SoC for AI at the Edge of the IoT
E Flamand, D Rossi, F Conti, I Loi, A Pullini, F Rotenberg, L Benini
2018 IEEE 29th International Conference on Application-specific Systems …, 2018
A 64-mw dnn-based visual navigation engine for autonomous nano-drones
D Palossi, A Loquercio, F Conti, E Flamand, D Scaramuzza, L Benini
IEEE Internet of Things Journal 6 (5), 8357-8371, 2019
An IoT endpoint system-on-chip for secure and energy-efficient near-sensor analytics
F Conti, R Schilling, PD Schiavone, A Pullini, D Rossi, FK Gürkaynak, ...
IEEE Transactions on Circuits and Systems I: Regular Papers 64 (9), 2481-2494, 2017
PULP-NN: accelerating quantized neural networks on parallel ultra-low-power RISC-V processors
A Garofalo, M Rusci, F Conti, D Rossi, L Benini
Philosophical Transactions of the Royal Society A 378 (2164), 20190155, 2020
PULP: A parallel ultra low power platform for next generation IoT applications
D Rossi, F Conti, A Marongiu, A Pullini, I Loi, M Gautschi, G Tagliavini, ...
2015 IEEE Hot Chips 27 Symposium (HCS), 1-39, 2015
XNOR neural engine: A hardware accelerator IP for 21.6-fJ/op binary neural network inference
F Conti, PD Schiavone, L Benini
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018
Robust real-time embedded EMG recognition framework using temporal convolutional networks on a multicore IoT processor
M Zanghieri, S Benatti, A Burrello, V Kartsch, F Conti, L Benini
IEEE transactions on biomedical circuits and systems 14 (2), 244-256, 2019
DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT MCUs
A Burrello, A Garofalo, N Bruschi, G Tagliavini, D Rossi, F Conti
IEEE Transactions on Computers, 2021
A Ultra-Low-Energy Convolution Engine for Fast Brain-Inspired Vision in Multicore Clusters
F Conti, L Benini
DATE 2015, 2015
PULP: A ultra-low power parallel accelerator for energy-efficient and flexible embedded vision
F Conti, D Rossi, A Pullini, I Loi, L Benini
Journal of Signal Processing Systems 84, 339-354, 2016
NEURAghe Exploiting CPU-FPGA Synergies for Efficient and Flexible CNN Inference Acceleration on Zynq SoCs
P Meloni, A Capotondi, G Deriu, M Brian, F Conti, D Rossi, L Raffo, ...
ACM Transactions on Reconfigurable Technology and Systems (TRETS) 11 (3), 1-24, 2018
Quentin: an ultra-low-power pulpissimo soc in 22nm fdx
PD Schiavone, D Rossi, A Pullini, A Di Mauro, F Conti, L Benini
2018 IEEE SOI-3D-Subthreshold Microelectronics Technology Unified Conference …, 2018
Vega: A ten-core SoC for IoT endnodes with DNN acceleration and cognitive wake-up from MRAM-based state-retentive sleep mode
D Rossi, F Conti, M Eggiman, A Di Mauro, G Tagliavini, S Mach, ...
IEEE Journal of Solid-State Circuits 57 (1), 127-139, 2021
A tinyml platform for on-device continual learning with quantized latent replays
L Ravaglia, M Rusci, D Nadalini, A Capotondi, F Conti, L Benini
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 11 (4 …, 2021
Fully onboard ai-powered human-drone pose estimation on ultralow-power autonomous flying nano-uavs
D Palossi, N Zimmerman, A Burrello, F Conti, H Müller, LM Gambardella, ...
IEEE Internet of Things Journal 9 (3), 1913-1929, 2021
An open source and open hardware deep learning-powered visual navigation engine for autonomous nano-UAVs
D Palossi, F Conti, L Benini
2019 15th International Conference on Distributed Computing in Sensor …, 2019
Optimally scheduling CNN convolutions for efficient memory access
A Stoutchinin, F Conti, L Benini
arXiv preprint arXiv:1902.01492, 2019
XpulpNN: Accelerating quantized neural networks on RISC-V processors through ISA extensions
A Garofalo, G Tagliavini, F Conti, D Rossi, L Benini
2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 186-191, 2020
Chipmunk: A systolically scalable 0.9 mm2, 3.08Gop/s/mW @ 1.2 mW accelerator for near-sensor recurrent neural network inference
F Conti, L Cavigelli, G Paulin, I Susmelj, L Benini
2018 IEEE Custom Integrated Circuits Conference (CICC), 1-4, 2018
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