Francesco Conti

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 130

Top Venues

CoRR

DATE

IEEE J. Emerg. Sel. Topics Circuits Syst.

University of Bologna, Italy (PHD)

Education History

University of Bologna, Italy

PHD

Publications

Marcello Zanghieri, Fabrizio Indirli, Antonio Latella, Giacomo Michele Puglia, Felice Tecce, Francesco Papariello, Giulio Urlini, Luca Benini, Francesco Conti
An Extreme-Edge TCN-Based Low-Latency Collision-Avoidance Safety System for Industrial Machinery. IEEE Access 12 (2024)
Lorenzo Lamberti, Elia Cereda, Gabriele Abbate, Lorenzo Bellone, Victor Javier Kartsch Morinigo, Michal Barcis, Agata Barcis, Alessandro Giusti, Francesco Conti, Daniele Palossi
A Sim-to-Real Deep Learning-Based Framework for Autonomous Nano-Drone Racing. IEEE Robotics Autom. Lett. 9 (2) (2024)
Francesco Conti, Gianna Paulin, Angelo Garofalo, Davide Rossi, Alfio Di Mauro, Georg Rutishauser, Gianmarco Ottavi, Manuel Eggimann, Hayate Okuhara, Luca Benini
Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC With 2-8 b DNN Acceleration and 30%-Boost Adaptive Body Biasing. IEEE J. Solid State Circuits 59 (1) (2024)
Angelo Garofalo, Yvan Tortorella, Matteo Perotti, Luca Valente, Alessandro Nadalini, Luca Benini, Davide Rossi, Francesco Conti
DARKSIDE: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training. CoRR (2023)
Georg Rutishauser, Francesco Conti, Luca Benini
Free Bits: Latency Optimization of Mixed-Precision Quantized Neural Networks on the Edge. AICAS (2023)
Luka Macan, Alessio Burrello, Luca Benini, Francesco Conti
WIP: Automatic DNN Deployment on Heterogeneous Platforms: the GAP9 Case Study. CASES (2023)
Gianmarco Ottavi, Angelo Garofalo, Giuseppe Tagliavini, Francesco Conti, Alfio Di Mauro, Luca Benini, Davide Rossi
Dustin: A 16-Cores Parallel Ultra-Low-Power Cluster With 2b-to-32b Fully Flexible Bit-Precision and Vector Lockstep Execution Mode. IEEE Trans. Circuits Syst. I Regul. Pap. 70 (6) (2023)
Markus Ulbricht, Yvan Tortorella, Michael Rogenmoser, Li Lu, Junchao Chen, Francesco Conti, Milos Krstic, Luca Benini
PULP Fiction No More - Dependable PULP Systems for Space. ETS (2023)
Arpan Suravi Prasad, Luca Benini, Francesco Conti
Specialization meets Flexibility: a Heterogeneous Architecture for High-Efficiency, High-flexibility AR/VR Processing. DAC (2023)
Alessandro Nadalini, Georg Rutishauser, Alessio Burrello, Nazareno Bruschi, Angelo Garofalo, Luca Benini, Francesco Conti, Davide Rossi
A 3 TOPS/W RISC-V Parallel Cluster for Inference of Fine-Grain Mixed-Precision Quantized Neural Networks. CoRR (2023)
Francesco Conti, Davide Rossi, Gianna Paulin, Anaelo Garofalo, Alfio Di Mauro, Georg Rutishauer, Gianmarco Ottavi, Manuel Eggimann, Hayate Okuhara, Vincent Huard, Olivier Montfort, Lionel Jure, Nils Exibard, Pascal Gouedo, Mathieu Louvat, Emmanuel Botte, Luca Benini
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. ISSCC (2023)
Michael Rogenmoser, Yvan Tortorella, Davide Rossi, Francesco Conti, Luca Benini
Hybrid Modular Redundancy: Exploring Modular Redundancy Approaches in RISC-V Multi-Core Computing Clusters for Reliable Processing in Space. CoRR (2023)
Fabrizio Ferrandi, Serena Curzel, Leandro Fiorin, Daniele Ielmini, Cristina Silvano, Francesco Conti, Alessio Burrello, Francesco Barchi, Luca Benini, Luciano Lavagno, Teodoro Urso, Enrico Calore, Sebastiano Fabio Schifano, Cristian Zambelli, Maurizio Palesi, Giuseppe Ascia, Enrico Russo, Nicola Petra, Davide De Caro, Gennaro Di Meo, Valeria Cardellini, Salvatore Filippone, Francesco Lo Presti, Francesco Silvestri, Paolo Palazzari, Stefania Perri
A Survey on Design Methodologies for Accelerating Deep Learning on Heterogeneous Architectures. CoRR (2023)
Sergi Abadal, Robert Guirado, Hamidreza Taghvaee, Akshay Jain, Elana Pereira de Santana, Peter Haring Bolívar, Mohamed Saeed, Renato Negra, Zhenxing Wang, Kun-Ta Wang, Max C. Lemme, Joshua Klein, Marina Zapater, Alexandre Levisse, David Atienza, Davide Rossi, Francesco Conti, Martino Dazzi, Geethan Karunaratne, Irem Boybat, Abu Sebastian
Graphene-Based Wireless Agile Interconnects for Massive Heterogeneous Multi-Chip Processors. IEEE Wirel. Commun. 30 (4) (2023)
Matteo Risso, Alessio Burrello, Francesco Conti, Lorenzo Lamberti, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge. CoRR (2023)
Mattia Sinigaglia, Luca Bertaccini, Luca Valente, Angelo Garofalo, Simone Benatti, Luca Benini, Francesco Conti, Davide Rossi
S DSP for Flexible Data Acquisition from Microphone Arrays. ISCAS (2023)
Cristina Silvano, Daniele Ielmini, Fabrizio Ferrandi, Leandro Fiorin, Serena Curzel, Luca Benini, Francesco Conti, Angelo Garofalo, Cristian Zambelli, Enrico Calore, Sebastiano Fabio Schifano, Maurizio Palesi, Giuseppe Ascia, Davide Patti, Stefania Perri, Nicola Petra, Davide De Caro, Luciano Lavagno, Teodoro Urso, Valeria Cardellini, Gian Carlo Cardarilli, Robert Birke
A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms. CoRR (2023)
Davide Nadalini, Manuele Rusci, Luca Benini, Francesco Conti
Reduced precision floating-point optimization for Deep Neural Network On-Device Learning on microcontrollers. Future Gener. Comput. Syst. 149 (2023)
Josse Van Delm, Maarten Vandersteegen, Alessio Burrello, Giuseppe Maria Sarda, Francesco Conti, Daniele Jahier Pagliari, Luca Benini, Marian Verhelst
HTVM: Efficient Neural Network Deployment On Heterogeneous TinyML Platforms. DAC (2023)
Francesco Conti, Gianna Paulin, Davide Rossi, Alfio Di Mauro, Georg Rutishauser, Gianmarco Ottavi, Manuel Eggimann, Hayate Okuhara, Luca Benini
Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC with 2-to-8b DNN Acceleration and 30%-Boost Adaptive Body Biasing. CoRR (2023)
Yvan Tortorella, Luca Bertaccini, Luca Benini, Davide Rossi, Francesco Conti
RedMule: A Mixed-Precision Matrix-Matrix Operation Engine for Flexible and Energy-Efficient On-Chip Linear Algebra and TinyML Training Acceleration. CoRR (2023)
Yvan Tortorella, Luca Bertaccini, Luca Benini, Davide Rossi, Francesco Conti
RedMule: A mixed-precision matrix-matrix operation engine for flexible and energy-efficient on-chip linear algebra and TinyML training acceleration. Future Gener. Comput. Syst. 149 (2023)
Arpan Suravi Prasad, Moritz Scherer, Francesco Conti, Davide Rossi, Alfio Di Mauro, Manuel Eggimann, Jorge Tomás Gómez, Ziyun Li, Syed Shakib Sarwar, Zhao Wang, Barbara De Salvo, Luca Benini
Siracusa: A 16 nm Heterogenous RISC-V SoC for Extended Reality with At-MRAM Neural Engine. CoRR (2023)
Matteo Risso, Alessio Burrello, Francesco Conti, Lorenzo Lamberti, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge. IEEE Trans. Computers 72 (3) (2023)
Lorenzo Lamberti, Elia Cereda, Gabriele Abbate, Lorenzo Bellone, Victor Javier Kartsch Morinigo, Michal Barcis, Agata Barcis, Alessandro Giusti, Francesco Conti, Daniele Palossi
A Sim-to-Real Deep Learning-based Framework for Autonomous Nano-drone Racing. CoRR (2023)
Georg Rutishauser, Francesco Conti, Luca Benini
Free Bits: Latency Optimization of Mixed-Precision Quantized Neural Networks on the Edge. CoRR (2023)
Nazareno Bruschi, Giuseppe Tagliavini, Angelo Garofalo, Francesco Conti, Irem Boybat, Luca Benini, Davide Rossi
End-to-End DNN Inference on a Massively Parallel Analog In Memory Computing Architecture. DATE (2023)
Moritz Scherer, Manuel Eggimann, Alfio Di Mauro, Arpan Suravi Prasad, Francesco Conti, Davide Rossi, Jorge Tomás Gómez, Ziyun Li, Syed Shakib Sarwar, Zhao Wang, Barbara De Salvo, Luca Benini
Siracusa: A Low-Power On-Sensor RISC-V SoC for Extended Reality Visual Processing in 16nm CMOS. ESSCIRC (2023)
William Fornaciari, Federico Reghenzani, Giovanni Agosta, Davide Zoni, Andrea Galimberti, Francesco Conti, Yvan Tortorella, Emanuele Parisi, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva, Daniele Gregori, Salvatore Cognetta, Carlo Ciancarelli, Antonio Leboffe, Paolo Serri, Alessio Burrello, Daniele Jahier Pagliari, Gianvito Urgese, Maurizio Martina, Guido Masera, Rosario Di Carlo, Antonio Sciarappa
RISC-V Processor Technologies for Aerospace Applications in the ISOLDE Project. SAMOS (2023)
Davide Nadalini, Manuele Rusci, Luca Benini, Francesco Conti
Reduced Precision Floating-Point Optimization for Deep Neural Network On-Device Learning on MicroControllers. CoRR (2023)
Alessandro Nadalini, Georg Rutishauser, Alessio Burrello, Nazareno Bruschi, Angelo Garofalo, Luca Benini, Francesco Conti, Davide Rossi
A 3 TOPS/W RISC-V Parallel Cluster for Inference of Fine-Grain Mixed-Precision Quantized Neural Networks. ISVLSI (2023)
Mattia Sinigaglia, Luca Bertaccini, Luca Valente, Angelo Garofalo, Simone Benatti, Luca Benini, Francesco Conti, Davide Rossi
Echoes: a 200 GOPS/W Frequency Domain SoC with FFT Processor and I2S DSP for Flexible Data Acquisition from Microphone Arrays. CoRR (2023)
Nazareno Bruschi, Germain Haugou, Giuseppe Tagliavini, Francesco Conti, Luca Benini, Davide Rossi
GVSoC: A Highly Configurable, Fast and Accurate Full-Platform Simulator for RISC-V based IoT Processors. CoRR (2022)
Nazareno Bruschi, Giuseppe Tagliavini, Francesco Conti, Sergi Abadal, Albert Cabellos-Aparicio, Eduard Alarcón, Geethan Karunaratne, Irem Boybat, Luca Benini, Davide Rossi
Scale up your In-Memory Accelerator: Leveraging Wireless-on-Chip Communication for AIMC-based CNN Inference. CoRR (2022)
Angelo Garofalo, Gianmarco Ottavi, Francesco Conti, Geethan Karunaratne, Irem Boybat, Luca Benini, Davide Rossi
A Heterogeneous In-Memory Computing Cluster For Flexible End-to-End Inference of Real-World Deep Neural Networks. CoRR (2022)
Gianna Paulin, Francesco Conti, Lukas Cavigelli, Luca Benini
Vau da muntanialas: Energy-efficient multi-die scalable acceleration of RNN inference. CoRR (2022)
Davide Rossi, Francesco Conti, Manuel Eggimann, Alfio Di Mauro, Giuseppe Tagliavini, Stefan Mach, Marco Guermandi, Antonio Pullini, Igor Loi, Jie Chen, Eric Flamand, Luca Benini
Vega: A Ten-Core SoC for IoT Endnodes With DNN Acceleration and Cognitive Wake-Up From MRAM-Based State-Retentive Sleep Mode. IEEE J. Solid State Circuits 57 (1) (2022)
Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Francesco Conti, Lorenzo Lamberti, Enrico Macii, Luca Benini, Massimo Poncino
Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks. CoRR (2022)
Mattia Orlandi, Marcello Zanghieri, Pasquale Davide Schiavone, Elisa Donati, Francesco Conti, Simone Benatti
Motor-Unit Ordering of Blindly-Separated Surface-EMG Signals for Gesture Recognition. SYSINT (2022)
Alfio Di Mauro, Arpan Suravi Prasad, Zhikai Huang, Matteo Spallanzani, Francesco Conti, Luca Benini
SNE: an Energy-Proportional Digital Accelerator for Sparse Event-Based Convolutions. CoRR (2022)
Alfio Di Mauro, Arpan Suravi Prasad, Zhikai Huang, Matteo Spallanzani, Francesco Conti, Luca Benini
SNE: an Energy-Proportional Digital Accelerator for Sparse Event-Based Convolutions. DATE (2022)
Gianmarco Ottavi, Angelo Garofalo, Giuseppe Tagliavini, Francesco Conti, Alfio Di Mauro, Luca Benini, Davide Rossi
Dustin: A 16-Cores Parallel Ultra-Low-Power Cluster with 2b-to-32b Fully Flexible Bit-Precision and Vector Lockstep Execution Mode. CoRR (2022)
Angelo Garofalo, Gianmarco Ottavi, Francesco Conti, Geethan Karunaratne, Irem Boybat, Luca Benini, Davide Rossi
A Heterogeneous In-Memory Computing Cluster for Flexible End-to-End Inference of Real-World Deep Neural Networks. IEEE J. Emerg. Sel. Topics Circuits Syst. 12 (2) (2022)
Davide Nadalini, Manuele Rusci, Giuseppe Tagliavini, Leonardo Ravaglia, Luca Benini, Francesco Conti
PULP-TrainLib: Enabling On-Device Training for RISC-V Multi-core MCUs Through Performance-Driven Autotuning. SAMOS (2022)
Daniele Palossi, Nicky Zimmerman, Alessio Burrello, Francesco Conti, Hanna Müller, Luca Maria Gambardella, Luca Benini, Alessandro Giusti, Jérôme Guzzi
Fully Onboard AI-Powered Human-Drone Pose Estimation on Ultralow-Power Autonomous Flying Nano-UAVs. IEEE Internet Things J. 9 (3) (2022)
Nazareno Bruschi, Giuseppe Tagliavini, Francesco Conti, Sergi Abadal, Albert Cabellos-Aparicio, Eduard Alarcón, Geethan Karunaratne, Irem Boybat, Luca Benini, Davide Rossi
Scale up your In-Memory Accelerator: Leveraging Wireless-on-Chip Communication for AIMC-based CNN Inference. AICAS (2022)
Yvan Tortorella, Luca Bertaccini, Davide Rossi, Luca Benini, Francesco Conti
RedMulE: A Compact FP16 Matrix-Multiplication Accelerator for Adaptive Deep Learning on RISC-V-Based Ultra-Low-Power SoCs. CoRR (2022)
Mattia Orlandi, Marcello Zanghieri, Victor Javier Kartsch Morinigo, Francesco Conti, Pasquale Davide Schiavone, Luca Benini, Simone Benatti
sEMG Neural Spikes Reconstruction for Gesture Recognition on a Low-Power Multicore Processor. BioCAS (2022)
Nazareno Bruschi, Giuseppe Tagliavini, Angelo Garofalo, Francesco Conti, Irem Boybat, Luca Benini, Davide Rossi
End-to-End DNN Inference on a Massively Parallel Analog In Memory Computing Architecture. CoRR (2022)
Alessio Burrello, Alberto Dequino, Daniele Jahier Pagliari, Francesco Conti, Marcello Zanghieri, Enrico Macii, Luca Benini, Massimo Poncino
TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference. CoRR (2022)
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. ESSCIRC (2022)
Yvan Tortorella, Luca Bertaccini, Davide Rossi, Luca Benini, Francesco Conti
RedMulE: A Compact FP16 Matrix-Multiplication Accelerator for Adaptive Deep Learning on RISC-V-Based Ultra-Low-Power SoCs. DATE (2022)
Gianna Paulin, Francesco Conti, Lukas Cavigelli, Luca Benini
Vau Da Muntanialas: Energy-Efficient Multi-Die Scalable Acceleration of RNN Inference. IEEE Trans. Circuits Syst. I Regul. Pap. 69 (1) (2022)
Alberto Dequino, Francesco Conti, Luca Benini
ViT-LR: Pushing the Envelope for Transformer-Based on-Device Embedded Continual Learning. IGSC (2022)
Daniele Palossi, Nicky Zimmerman, Alessio Burrello, Francesco Conti, Hanna Müller, Luca Maria Gambardella, Luca Benini, Alessandro Giusti, Jérôme Guzzi
Fully Onboard AI-powered Human-Drone Pose Estimation on Ultra-low Power Autonomous Flying Nano-UAVs. CoRR (2021)
Luca Bertaccini, Luca Benini, Francesco Conti
To Buffer, or Not to Buffer? A Case Study on FFT Accelerators for Ultra-Low-Power Multicore Clusters. ASAP (2021)
Gianluca Bellocchi, Alessandro Capotondi, Francesco Conti, Andrea Marongiu
A RISC-V-based FPGA Overlay to Simplify Embedded Accelerator Deployment. DSD (2021)
Gianna Paulin, Renzo Andri, Francesco Conti, Luca Benini
RNN-Based Radio Resource Management on Multicore RISC-V Accelerator Architectures. IEEE Trans. Very Large Scale Integr. Syst. 29 (9) (2021)
Alessio Burrello, Alberto Dequino, Daniele Jahier Pagliari, Francesco Conti, Marcello Zanghieri, Enrico Macii, Luca Benini, Massimo Poncino
TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference. ISLPED (2021)
Nazareno Bruschi, Germain Haugou, Giuseppe Tagliavini, Francesco Conti, Luca Benini, Davide Rossi
GVSoC: A Highly Configurable, Fast and Accurate Full-Platform Simulator for RISC-V based IoT Processors. ICCD (2021)
Joshua Klein, Alexandre Levisse, Giovanni Ansaloni, David Atienza, Marina Zapater, Martino Dazzi, Geethan Karunaratne, Irem Boybat, Abu Sebastian, Davide Rossi, Francesco Conti, Elana Pereira de Santana, Peter Haring Bolívar, Mohamed Saeed, Renato Negra, Zhenxing Wang, Kun-Ta Wang, Max C. Lemme, Akshay Jain, Robert Guirado, Hamidreza Taghvaee, Sergi Abadal
Architecting more than Moore: wireless plasticity for massive heterogeneous computer architectures (WiPLASH). CF (2021)
Alessio Burrello, Angelo Garofalo, Nazareno Bruschi, Giuseppe Tagliavini, Davide Rossi, Francesco Conti
DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT MCUs. IEEE Trans. Computers 70 (8) (2021)
Leonardo Ravaglia, Manuele Rusci, Davide Nadalini, Alessandro Capotondi, Francesco Conti, Luca Benini
A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays. CoRR (2021)
Hanna Miiller, Daniele Palossi, Stefan Mach, Francesco Conti, Luca Benini
Fünfiiber-Drone: A Modular Open-Platform 18-grams Autonomous Nano-Drone. DATE (2021)
Angelo Garofalo, Gianmarco Ottavi, Alfio Di Mauro, Francesco Conti, Giuseppe Tagliavini, Luca Benini, Davide Rossi
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. ESSCIRC (2021)
Vlad Niculescu, Lorenzo Lamberti, Francesco Conti, Luca Benini, Daniele Palossi
Improving Autonomous Nano-Drones Performance via Automated End-to-End Optimization and Deployment of DNNs. IEEE J. Emerg. Sel. Topics Circuits Syst. 11 (4) (2021)
Davide Rossi, Francesco Conti, Manuel Eggimann, Stefan Mach, Alfio Di Mauro, Marco Guermandi, Giuseppe Tagliavini, Antonio Pullini, Igor Loi, Jie Chen, Eric Flamand, Luca Benini
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. ISSCC (2021)
Leonardo Ravaglia, Manuele Rusci, Davide Nadalini, Alessandro Capotondi, Francesco Conti, Luca Benini
A TinyML Platform for On-Device Continual Learning With Quantized Latent Replays. IEEE J. Emerg. Sel. Topics Circuits Syst. 11 (4) (2021)
Maurizio Capra, Francesco Conti, Maurizio Martina
A Multi-Precision Bit-Serial Hardware Accelerator IP for Deep Learning Enabled Internet-of-Things. MWSCAS (2021)
Angelo Garofalo, Giuseppe Tagliavini, Francesco Conti, Luca Benini, Davide Rossi
XpulpNN: Enabling Energy Efficient and Flexible Inference of Quantized Neural Networks on RISC-V Based IoT End Nodes. IEEE Trans. Emerg. Top. Comput. 9 (3) (2021)
Gianmarco Ottavi, Geethan Karunaratne, Francesco Conti, Irem Boybat, Luca Benini, Davide Rossi
End-to-end 100-TOPS/W Inference With Analog In-Memory Computing: Are We There Yet? CoRR (2021)
Davide Rossi, Francesco Conti, Manuel Eggimann, Alfio Di Mauro, Giuseppe Tagliavini, Stefan Mach, Marco Guermandi, Antonio Pullini, Igor Loi, Jie Chen, Eric Flamand, Luca Benini
Vega: A 10-Core SoC for IoT End-Nodes with DNN Acceleration and Cognitive Wake-Up From MRAM-Based State-Retentive Sleep Mode. CoRR (2021)
Gianmarco Ottavi, Geethan Karunaratne, Francesco Conti, Irem Boybat, Luca Benini, Davide Rossi
End-to-end 100-TOPS/W Inference With Analog In-Memory Computing: Are We There Yet? AICAS (2021)
Angelo Garofalo, Giuseppe Tagliavini, Francesco Conti, Luca Benini, Davide Rossi
XpulpNN: Enabling Energy Efficient and Flexible Inference of Quantized Neural Networks on RISC-V based IoT End Nodes. ARITH (2021)
Alessio Burrello, Moritz Scherer, Marcello Zanghieri, Francesco Conti, Luca Benini
A Microcontroller is All You Need: Enabling Transformer Execution on Low-Power IoT Endnodes. COINS (2021)
Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Francesco Conti, Lorenzo Lamberti, Enrico Macii, Luca Benini, Massimo Poncino
Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks. DAC (2021)
Alfio Di Mauro, Francesco Conti, Pasquale Davide Schiavone, Davide Rossi, Luca Benini
Always-On 674uW @ 4GOP/s Error Resilient Binary Neural Networks with Aggressive SRAM Voltage Scaling on a 22nm IoT End-Node. CoRR (2020)
Leonardo Ravaglia, Manuele Rusci, Alessandro Capotondi, Francesco Conti, Lorenzo Pellegrini, Vincenzo Lomonaco, Davide Maltoni, Luca Benini
Memory-Latency-Accuracy Trade-offs for Continual Learning on a RISC-V Extreme-Edge Node. CoRR (2020)
Sergi Abadal, Robert Guirado, Hamidreza Taghvaee, Akshay Jain, Elana Pereira de Santana, Peter Haring Bolívar, Mohamed Saeed Elsayed, Renato Negra, Zhenxing Wang, Kun-Ta Wang, Max C. Lemme, Joshua Klein, Marina Zapater, Alexandre Levisse, David Atienza, Davide Rossi, Francesco Conti, Martino Dazzi, Geethan Karunaratne, Irem Boybat, Abu Sebastian
Graphene-based Wireless Agile Interconnects for Massive Heterogeneous Multi-chip Processors. CoRR (2020)
Francesco Conti
Technical Report: NEMO DNN Quantization for Deployment Model. CoRR (2020)
Angelo Garofalo, Giuseppe Tagliavini, Francesco Conti, Davide Rossi, Luca Benini
XpulpNN: Accelerating Quantized Neural Networks on RISC-V Processors Through ISA Extensions. DATE (2020)
Teresa Serrano-Gotarredona, Maurizio Valle, Francesco Conti, Hai Li
Introduction to the Special Issue on the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS 2020). IEEE J. Emerg. Sel. Topics Circuits Syst. 10 (4) (2020)
Gianmarco Ottavi, Angelo Garofalo, Giuseppe Tagliavini, Francesco Conti, Luca Benini, Davide Rossi
A Mixed-Precision RISC-V Processor for Extreme-Edge DNN Inference. ISVLSI (2020)
Alfio Di Mauro, Francesco Conti, Pasquale Davide Schiavone, Davide Rossi, Luca Benini
Always-On 674μ W@4GOP/s Error Resilient Binary Neural Networks With Aggressive SRAM Voltage Scaling on a 22-nm IoT End-Node. IEEE Trans. Circuits Syst. (11) (2020)
Marcello Zanghieri, Simone Benatti, Alessio Burrello, Victor Javier Kartsch, Francesco Conti, Luca Benini
Robust Real-Time Embedded EMG Recognition Framework Using Temporal Convolutional Networks on a Multicore IoT Processor. IEEE Trans. Biomed. Circuits Syst. 14 (2) (2020)
Alessio Burrello, Angelo Garofalo, Nazareno Bruschi, Giuseppe Tagliavini, Davide Rossi, Francesco Conti
DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT MCUs. CoRR (2020)
Paolo Meloni, Daniela Loi, Gianfranco Deriu, Marco Carreras, Francesco Conti, Alessandro Capotondi, Davide Rossi
Exploring NEURAghe: A Customizable Template for APSoC-Based CNN Inference at the Edge. IEEE Embed. Syst. Lett. 12 (2) (2020)
Nazareno Bruschi, Angelo Garofalo, Francesco Conti, Giuseppe Tagliavini, Davide Rossi
Enabling Mixed-Precision Quantized Neural Networks in Extreme-Edge Devices. CoRR (2020)
Marcello Zanghieri, Simone Benatti, Francesco Conti, Alessio Burrello, Luca Benini
Temporal Variability Analysis in sEMG Hand Grasp Recognition using Temporal Convolutional Networks. AICAS (2020)
Gianmarco Ottavi, Angelo Garofalo, Giuseppe Tagliavini, Francesco Conti, Luca Benini, Davide Rossi
A Mixed-Precision RISC-V Processor for Extreme-Edge DNN Inference. CoRR (2020)
Angelo Garofalo, Giuseppe Tagliavini, Francesco Conti, Luca Benini, Davide Rossi
XpulpNN: Enabling Energy Efficient and Flexible Inference of Quantized Neural Network on RISC-V based IoT End Nodes. CoRR (2020)
Leonardo Ravaglia, Manuele Rusci, Alessandro Capotondi, Francesco Conti, Lorenzo Pellegrini, Vincenzo Lomonaco, Davide Maltoni, Luca Benini
Memory-Latency-Accuracy Trade-Offs for Continual Learning on a RISC-V Extreme-Edge Node. SiPS (2020)
Nazareno Bruschi, Angelo Garofalo, Francesco Conti, Giuseppe Tagliavini, Davide Rossi
Enabling mixed-precision quantized neural networks in extreme-edge devices. CF (2020)
Angelo Garofalo, Manuele Rusci, Francesco Conti, Davide Rossi, Luca Benini
PULP-NN: A Computing Library for Quantized Neural Network inference at the edge on RISC-V Based Parallel Ultra Low Power Clusters. ICECS (2019)
Alessio Burrello, Francesco Conti, Angelo Garofalo, Davide Rossi, Luca Benini
DORY: Lightweight memory hierarchy management for deep NN inference on IoT endnodes: work-in-progress. CODES+ISSS (2019)
Daniele Palossi, Francesco Conti, Luca Benini
An Open Source and Open Hardware Deep Learning-Powered Visual Navigation Engine for Autonomous Nano-UAVs. DCOSS (2019)
Daniele Palossi, Antonio Loquercio, Francesco Conti, Eric Flamand, Davide Scaramuzza, Luca Benini
A 64-mW DNN-Based Visual Navigation Engine for Autonomous Nano-Drones. IEEE Internet Things J. 6 (5) (2019)
Angelo Garofalo, Manuele Rusci, Francesco Conti, Davide Rossi, Luca Benini
PULP-NN: Accelerating Quantized Neural Networks on Parallel Ultra-Low-Power RISC-V Processors. CoRR (2019)
Daniele Palossi, Francesco Conti, Luca Benini
An Open Source and Open Hardware Deep Learning-powered Visual Navigation Engine for Autonomous Nano-UAVs. CoRR (2019)
Paolo Meloni, Daniela Loi, Paola Busia, Gianfranco Deriu, Andy D. Pimentel, Dolly Sapra, Todor P. Stefanov, Svetlana Minakova, Francesco Conti, Luca Benini, Maura Pintor, Battista Biggio, Bernhard Moser, Natalia Shepeleva, Nikos Fragoulis, Ilias Theodorakopoulos, Michael Masin, Francesca Palumbo
Optimization and deployment of CNNs at the edge: the ALOHA experience. CF (2019)

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Francesco Conti