CONTI, FRANCESCO
CONTI, FRANCESCO
DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE "GUGLIELMO MARCONI"
Ricercatori a tempo determinato
22.1 A 12.4TOPS/W @ 136GOPS AI-IoT System-on-Chip with 16 RISC-V, 2-to-8b Precision-Scalable DNN Acceleration and 30%-Boost Adaptive Body Biasing
2023 Conti, Francesco; Rossi, Davide; Paulin, Gianna; Garofalo, Angelo; Di Mauro, Alfio; Rutishauer, Georg; Ottavi, Gian marco; Eggimann, Manuel; Okuhara, Hayate; Huard, Vincent; Montfort, Olivier; Jure, Lionel; Exibard, Nils; Gouedo, Pascal; Louvat, Mathieu; Botte, Emmanuel; Benini, Luca
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
2021 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.
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
2021 Garofalo A.; Ottavi G.; Di Mauro A.; Conti F.; Tagliavini G.; Benini L.; Rossi D.
A 3 TOPS/W RISC-V Parallel Cluster for Inference of Fine-Grain Mixed-Precision Quantized Neural Networks
2023 Nadalini, A; Rutishauser, G; Burrello, A; Bruschi, N; Garofalo, A; Benini, L; Conti, F; Rossi, D
A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones
2019 Palossi, Daniele; Loquercio, Antonio; Conti, Francesco; Flamand, Eric; Scaramuzza, Davide; Benini, Luca
A Heterogeneous In-Memory Computing Cluster for Flexible End-to-End Inference of Real-World Deep Neural Networks
2022 Garofalo, A; Ottavi, G; Conti, F; Karunaratne, G; Boybat, I; Benini, L; Rossi, D
A Heterogeneous Multi-Core System-on-Chip for Energy Efficient Brain Inspired Computing
2018 Pullini, Antonio; Conti, Francesco; Rossi, Davide; Loi, Igor; Gautschi, Michael; Benini, Luca
A heterogeneous multi-core system-on-chip for energy efficient brain inspired vision
2016 Pullini, Antonio; Conti, Francesco; Rossi, Davide; Loi, Igor; Gautschi, Michael; Benini, Luca
A Microcontroller is All You Need: Enabling Transformer Execution on Low-Power IoT Endnodes
2021 Burrello A.; Scherer M.; Zanghieri M.; Conti F.; Benini L.
A mixed-precision RISC-V processor for extreme-edge DNN inference
2020 Ottavi G.; Garofalo A.; Tagliavini G.; Conti F.; Benini L.; Rossi D.
A Multi-Precision Bit-Serial Hardware Accelerator IP for Deep Learning Enabled Internet-of-Things
2021 Capra M.; Conti F.; Martina M.
A RISC-V-based FPGA Overlay to Simplify Embedded Accelerator Deployment
2021 Bellocchi, Gianluca; Capotondi, Alessandro; Conti, Francesco; Marongiu, Andrea
A Self-Aware Architecture for PVT Compensation and Power Nap in Near Threshold Processors
2017 Rossi, Davide; Loi, Igor; Pullini, Antonio; Muller, Christoph; Burg, Andreas; Conti, Francesco; Benini, Luca; Flatresse, Philippe
A Sim-to-Real Deep Learning-based Framework for Autonomous Nano-drone Racing
2024 Lamberti, Lorenzo; Cereda, Elia; Abbate, Gabriele; Bellone, Lorenzo; Morinigo, Victor Javier Kartsch; Barciś, Michał; Barciś, Agata; Giusti, Alessandro; Conti, Francesco; Palossi, Daniele
A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays
2021 Ravaglia L.; Rusci M.; Nadalini D.; Capotondi A.; Conti F.; Benini L.
A Ultra-Low-Energy Convolution Engine for Fast Brain-Inspired Vision in Multicore Clusters
2015 Conti, Francesco; Benini, Luca
Accelerated Visual Context Classification on a Low-Power Smartwatch
2017 Conti, Francesco; Palossi, Daniele; Andri, Renzo; Magno, Michele; Benini, Luca
AI-Powered Collision Avoidance Safety System for Industrial Woodworking Machinery
2021 Conti F., Indirli F., Latella A., Puglia G. M., Tecce F., Urlini G., Zanghieri M.
ALOHA: An Architectural-aware Framework for Deep Learning at the Edge
2018 Meloni, P. and Loi, D. and Deriu, G. and Pimentel, A. D. and Sapra, D. and Moser, B. and Shepeleva, N. and Conti, F. and Benini, L. and Ripolles, O. and Solans, D. and Pintor, M. and Biggio, B. and Stefanov, T. and Minakova, S. and Fragoulis, N. and Theodorakopoulos, I. and Masin, M. and Palumbo, F.
Always-On 674μW@4GOP/s Error Resilient Binary Neural Networks With Aggressive SRAM Voltage Scaling on a 22-nm IoT End-Node
2020 Alfio Di Mauro, Francesco Conti, Pasquale Davide Schiavone, Davide Rossi, Luca Benini
Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
---|---|---|---|---|---|---|
22.1 A 12.4TOPS/W @ 136GOPS AI-IoT System-on-Chip with 16 RISC-V, 2-to-8b Precision-Scalable DNN Acceleration and 30%-Boost Adaptive Body Biasing | Conti, Francesco; Rossi, Davide; Paulin, Gianna; Garofalo, Angelo; Di Mauro, Alfio; Rutishauer, G...eorg; Ottavi, Gian marco; Eggimann, Manuel; Okuhara, Hayate; Huard, Vincent; Montfort, Olivier; Jure, Lionel; Exibard, Nils; Gouedo, Pascal; Louvat, Mathieu; Botte, Emmanuel; Benini, Luca | 2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
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 | 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. | 2021-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | 09365939.pdf; paper_proofread_d.pdf |
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 | Garofalo A.; Ottavi G.; Di Mauro A.; Conti F.; Tagliavini G.; Benini L.; Rossi D. | 2021-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | DUSTIN_REDUX.pdf |
A 3 TOPS/W RISC-V Parallel Cluster for Inference of Fine-Grain Mixed-Precision Quantized Neural Networks | Nadalini, A; Rutishauser, G; Burrello, A; Bruschi, N; Garofalo, A; Benini, L; Conti, F; Rossi, D | 2023-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | a 3 tops w risc post print .pdf |
A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones | Palossi, Daniele; Loquercio, Antonio; Conti, Francesco; Flamand, Eric; Scaramuzza, Davide; Benini..., Luca | 2019-01-01 | IEEE INTERNET OF THINGS JOURNAL | - | 1.01 Articolo in rivista | - |
A Heterogeneous In-Memory Computing Cluster for Flexible End-to-End Inference of Real-World Deep Neural Networks | Garofalo, A; Ottavi, G; Conti, F; Karunaratne, G; Boybat, I; Benini, L; Rossi, D | 2022-01-01 | IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS | - | 1.01 Articolo in rivista | Heterogeneous In-Memory Computing_aam_.pdf |
A Heterogeneous Multi-Core System-on-Chip for Energy Efficient Brain Inspired Computing | Pullini, Antonio; Conti, Francesco; Rossi, Davide; Loi, Igor; Gautschi, Michael; Benini, Luca | 2018-01-01 | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. II, EXPRESS BRIEFS | - | 1.01 Articolo in rivista | tcas2_resubmit_v5_disclaimer.pdf |
A heterogeneous multi-core system-on-chip for energy efficient brain inspired vision | Pullini, Antonio; Conti, Francesco; Rossi, Davide; Loi, Igor; Gautschi, Michael; Benini, Luca | 2016-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | - |
A Microcontroller is All You Need: Enabling Transformer Execution on Low-Power IoT Endnodes | Burrello A.; Scherer M.; Zanghieri M.; Conti F.; Benini L. | 2021-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | - |
A mixed-precision RISC-V processor for extreme-edge DNN inference | Ottavi G.; Garofalo A.; Tagliavini G.; Conti F.; Benini L.; Rossi D. | 2020-01-01 | - | IEEE Computer Society | 4.01 Contributo in Atti di convegno | ISVLSI_STATUS_BASED.pdf |
A Multi-Precision Bit-Serial Hardware Accelerator IP for Deep Learning Enabled Internet-of-Things | Capra M.; Conti F.; Martina M. | 2021-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | - |
A RISC-V-based FPGA Overlay to Simplify Embedded Accelerator Deployment | Bellocchi, Gianluca; Capotondi, Alessandro; Conti, Francesco; Marongiu, Andrea | 2021-01-01 | - | IEEE COMPUTER SOC | 4.01 Contributo in Atti di convegno | - |
A Self-Aware Architecture for PVT Compensation and Power Nap in Near Threshold Processors | Rossi, Davide; Loi, Igor; Pullini, Antonio; Muller, Christoph; Burg, Andreas; Conti, Francesco; B...enini, Luca; Flatresse, Philippe | 2017-01-01 | IEEE DESIGN & TEST | - | 1.01 Articolo in rivista | - |
A Sim-to-Real Deep Learning-based Framework for Autonomous Nano-drone Racing | Lamberti, Lorenzo; Cereda, Elia; Abbate, Gabriele; Bellone, Lorenzo; Morinigo, Victor Javier Kart...sch; Barciś, Michał; Barciś, Agata; Giusti, Alessandro; Conti, Francesco; Palossi, Daniele | 2024-01-01 | IEEE ROBOTICS AND AUTOMATION LETTERS | - | 1.01 Articolo in rivista | Binder4.pdf |
A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays | Ravaglia L.; Rusci M.; Nadalini D.; Capotondi A.; Conti F.; Benini L. | 2021-01-01 | IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS | - | 1.01 Articolo in rivista | TinyML_redux.pdf |
A Ultra-Low-Energy Convolution Engine for Fast Brain-Inspired Vision in Multicore Clusters | Conti, Francesco; Benini, Luca | 2015-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
Accelerated Visual Context Classification on a Low-Power Smartwatch | Conti, Francesco; Palossi, Daniele; Andri, Renzo; Magno, Michele; Benini, Luca | 2017-01-01 | IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS | - | 1.01 Articolo in rivista | THMS_final_v2_disclaimer.pdf |
AI-Powered Collision Avoidance Safety System for Industrial Woodworking Machinery | Conti F., Indirli F., Latella A., Puglia G. M., Tecce F., Urlini G., Zanghieri M. | 2021-01-01 | - | River Publishers | 2.01 Capitolo / saggio in libro | - |
ALOHA: An Architectural-aware Framework for Deep Learning at the Edge | Meloni, P. and Loi, D. and Deriu, G. and Pimentel, A. D. and Sapra, D. and Moser, B. and Shepelev...a, N. and Conti, F. and Benini, L. and Ripolles, O. and Solans, D. and Pintor, M. and Biggio, B. and Stefanov, T. and Minakova, S. and Fragoulis, N. and Theodorakopoulos, I. and Masin, M. and Palumbo, F. | 2018-01-01 | - | ACM | 4.01 Contributo in Atti di convegno | - |
Always-On 674μW@4GOP/s Error Resilient Binary Neural Networks With Aggressive SRAM Voltage Scaling on a 22-nm IoT End-Node | Alfio Di Mauro, Francesco Conti, Pasquale Davide Schiavone, Davide Rossi, Luca Benini | 2020-01-01 | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. I, REGULAR PAPERS | - | 1.01 Articolo in rivista | Binder_ISICAS.pdf |