| 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 | 162 | 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 | 159 | 2019 |
| 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 | 154 | 2017 |
| 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 | 135 | 2017 |
| 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 | 127 | 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 | 120 | 2018 |
| 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 | 109 | 2020 |
| A Ultra-Low-Energy Convolution Engine for Fast Brain-Inspired Vision in Multicore Clusters F Conti, L Benini DATE 2015, 2015 | 105 | 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 | 96 | 2016 |
| 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 | 82 | 2019 |
| 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 | 75 | 2018 |
| 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 | 59 | 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 | 46 | 2019 |
| Optimally scheduling CNN convolutions for efficient memory access A Stoutchinin, F Conti, L Benini arXiv preprint arXiv:1902.01492, 2019 | 44 | 2019 |
| 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 | 43 | 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 | 41 | 2018 |
| Thermal image-based CNN's for ultra-low power people recognition A Gomez, F Conti, L Benini Proceedings of the 15th ACM international conference on computing frontiers …, 2018 | 40 | 2018 |
| Energy-Efficient Vision on the PULP Platform for Ultra-Low Power Parallel Computing F Conti, D Rossi, A Pullini, I Loi, L Benini Proceedings of 2014 IEEE International Workshop on Signal Processing Systems, 2014 | 40 | 2014 |
| Accelerated visual context classification on a low-power smartwatch F Conti, D Palossi, R Andri, M Magno, L Benini IEEE Transactions on Human-Machine Systems 47 (1), 19-30, 2016 | 39 | 2016 |
| Ultra low power deep-learning-powered autonomous nano drones D Palossi, A Loquercio, F Conti, E Flamand, D Scaramuzza, L Benini IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018), 2018 | 38 | 2018 |
Luca BeniniETH Zürich, Università di BolognaVerified email at unibo.it
