Valente, L.; Veeran, A.; Sinigaglia, M.; Tortorella, Y.; Nadalini, A.; Wistoff, N.; Sá, B.; Garofalo, A.; Psiakis, R.; Tolba, M.; Kulmala, A.; Limaye, N.; Sinanoglu, O.; Pinto, S.; Palossi, D.; Benini, L.; Mohammad, B.; Rossi, D., Shaheen: An Open, Secure, and Scalable RV64 SoC for Autonomous Nano-UAVs, in: Proceedings of the 2023 IEEE Hot Chips 35 Symposium (HCS), 2023(atti di: Hot Chips 35 Symposium, Stanford, 27/08/2023) [atti di convegno-poster]
Garofalo, A; Ottavi, G; Conti, F; Karunaratne, G; Boybat, I; Benini, L; Rossi, D, A Heterogeneous In-Memory Computing Cluster for Flexible End-to-End Inference of Real-World Deep Neural Networks, «IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS», 2022, 12, pp. 422 - 435 [articolo]Open Access
Montagna F.; Mach S.; Benatti S.; Garofalo A.; Ottavi G.; Benini L.; Rossi D.; Tagliavini G., A Low-Power Transprecision Floating-Point Cluster for Efficient Near-Sensor Data Analytics, «IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS», 2022, 33, pp. 1038 - 1053 [articolo]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) [Contributo in Atti di convegno]
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 [articolo]Open Access
Garofalo A.; Ottavi G.; Di Mauro A.; Conti F.; Tagliavini G.; Benini L.; Rossi D., A 1.15 TOPS/W, 16-Cores Parallel Ultra-Low Power Cluster with 2b-to-32b Fully Flexible Bit-Precision and Vector Lockstep Execution Mode, in: ESSCIRC 2021 - IEEE 47th European Solid State Circuits Conference, Proceedings, New York, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 267 - 270 (atti di: 47th IEEE European Solid State Circuits Conference, ESSCIRC 2021, Grenoble/ France, 6 September - 9 September 2021) [Contributo in Atti di convegno]Open Access
Burrello, Alessio; Garofalo, Angelo; Bruschi, Nazareno; Tagliavini, Giuseppe; Rossi, Davide; Conti, Francesco, DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT MCUs, «IEEE TRANSACTIONS ON COMPUTERS», 2021, 70, pp. 1253 - 1268 [articolo]Open Access
Montagna, Fabio; Tagliavini, Giuseppe; Rossi, Davide; Garofalo, Angelo; Benini, Luca, Streamlining the OpenMP Programming Model on Ultra-Low-Power Multi-core MCUs, in: Architecture of Computing Systems, Cham, Springer, «LECTURE NOTES IN COMPUTER SCIENCE», 2021, 12800, pp. 167 - 182 (atti di: 34th International Conference on Architecture of Computing Systems, Online, 7-8 Giugno 2021) [Contributo in Atti di convegno]Open Access
Garofalo A.; Tagliavini G.; Conti F.; Benini L.; Rossi D., XpulpNN: Enabling Energy Efficient and Flexible Inference of Quantized Neural Networks on RISC-V Based IoT End Nodes, «IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING», 2021, 9, pp. 1489 - 1505 [articolo]Open Access
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
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
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, Article number: 20190155, pp. 1 - 22 [articolo]Open Access
Garofalo, Angelo; Tagliavini, Giuseppe; Conti, Francesco; Rossi, Davide; Benini, Luca, XpulpNN: Accelerating Quantized Neural Networks on RISC-V Processors Through ISA Extensions, in: 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), Institute of Electrical and Electronics Engineers Inc. (IEEE), 2020, pp. 186 - 191 (atti di: Design, Automation and Test in Europe Conference and Exhibition, DATE 2020, Grenoble, France, 9-13 March 2020) [Contributo in Atti di convegno]Open Access
Ruospo A.; Cantoro R.; Sanchez E.; Schiavone P.D.; Garofalo A.; Benini L., On-line testing for autonomous systems driven by RISC-V processor design verification, in: 2019 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, DFT 2019, Institute of Electrical and Electronics Engineers Inc., 2019, pp. 1 - 6 (atti di: 32nd IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, DFT 2019, nld, 2019) [Contributo in Atti di convegno]
Garofalo A.; Rusci M.; Conti F.; Rossi D.; Benini L., PULP-NN: A computing library for quantized neural network inference at the edge on RISC-V based parallel ultra low power clusters, in: 2019 26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019, 345 E 47TH ST, NEW YORK, NY 10017 USA, Institute of Electrical and Electronics Engineers Inc., 2019, pp. 33 - 36 (atti di: 26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019, ita, 2019) [Contributo in Atti di convegno]Open Access
