Alfio Di Mauro

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 44

Top Topics

Visual Processing

Energy Efficiency

Top Venues

IEEE J. Solid State Circuits

Publications

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)
Simone Manoni, Paul Scheffler, Alfio Di Mauro, Luca Zanatta, Andrea Acquaviva, Luca Benini, Andrea Bartolini
NARS: Neuromorphic Acceleration through Register-Streaming Extensions on RISC-V Cores. CF (Companion) (2024)
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. IEEE J. Solid State Circuits 59 (7) (2024)
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)
Moritz Scherer, Alfio Di Mauro, Tim Fischer, Georg Rutishauser, Luca Benini
TCN-CUTIE: A 1, 036-TOp/s/W, 2.72-µJ/Inference, 12.2-mW All-Digital Ternary Accelerator in 22-nm FDX Technology. IEEE Micro 43 (1) (2023)
Sizhen Bian, Lukas Schulthess, Georg Rutishauser, Alfio Di Mauro, Luca Benini, Michele Magno
ColibriUAV: An Ultra-Fast, Energy-Efficient Neuromorphic Edge Processing UAV-Platform with Event-Based and Frame-Based Cameras. CoRR (2023)
Georg Rutishauser, Robin Hunziker, Alfio Di Mauro, Sizhen Bian, Luca Benini, Michele Magno
ColibriES: A Milliwatts RISC-V Based Embedded System Leveraging Neuromorphic and Neural Networks Hardware Accelerators for Low-Latency Closed-loop Control Applications. 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)
Georg Rutishauser, Robin Hunziker, Alfio Di Mauro, Sizhen Bian, Luca Benini, Michele Magno
ColibriES: A Milliwatts RISC-V Based Embedded System Leveraging Neuromorphic and Neural Networks Hardware Accelerators for Low-Latency Closed-loop Control Applications. ISCAS (2023)
Amélie Gruel, Alfio Di Mauro, Robin Hunziker, Luca Benini, Jean Martinet, Michele Magno
Embedded neuromorphic attention model leveraging a novel low-power heterogeneous platform. AICAS (2023)
Sizhen Bian, Lukas Schulthess, Georg Rutishauser, Alfio Di Mauro, Luca Benini, Michele Magno
ColibriUAV: An Ultra-Fast, Energy-Efficient Neuromorphic Edge Processing UAV-Platform with Event-Based and Frame-Based Cameras. IWASI (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)
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)
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)
Luca Zanatta, Alfio Di Mauro, Francesco Barchi, Andrea Bartolini, Luca Benini, Andrea Acquaviva
Directly-trained Spiking Neural Networks for Deep Reinforcement Learning: Energy efficient implementation of event-based obstacle avoidance on a neuromorphic accelerator. Neurocomputing 562 (2023)
Jiawei Liao, Lars Widmer, Xiaying Wang, Alfio Di Mauro, Samuel R. Nason-Tomaszewski, Cynthia A. Chestek, Luca Benini, Taekwang Jang
An Energy-Efficient Spiking Neural Network for Finger Velocity Decoding for Implantable Brain-Machine Interface. CoRR (2022)
Jiawei Liao, Lars Widmer, Xiaying Wang, Alfio Di Mauro, Samuel R. Nason-Tomaszewski, Cynthia A. Chestek, Luca Benini, Taekwang Jang
An Energy-Efficient Spiking Neural Network for Finger Velocity Decoding for Implantable Brain-Machine Interface. AICAS (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)
Alfio Di Mauro, Moritz Scherer, Davide Rossi, Luca Benini
Kraken: A Direct Event/Frame-Based Multi-sensor Fusion SoC for Ultra-Efficient Visual Processing in Nano-UAVs. CoRR (2022)
Moritz Scherer, Alfio Di Mauro, Georg Rutishauser, Tim Fischer, Luca Benini
A 1036 TOp/s/W, 12.2 mW, 2.72 μJ/Inference All Digital TNN Accelerator in 22 nm FDX Technology for TinyML Applications. COOL CHIPS (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)
Moritz Scherer, Alfio Di Mauro, Tim Fischer, Georg Rutishauser, Luca Benini
TCN-CUTIE: A 1036 TOp/s/W, 2.72 uJ/Inference, 12.2 mW All-Digital Ternary Accelerator in 22 nm FDX Technology. CoRR (2022)
Alfio Di Mauro, Moritz Scherer, Davide Rossi, Luca Benini
Kraken: A Direct Event/Frame-Based Multi-sensor Fusion SoC for Ultra-Efficient Visual Processing in Nano-UAVs. HCS (2022)
Alfio Di Mauro, Moritz Scherer, Jordi Fornt Mas, Basile Bougenot, Michele Magno, Luca Benini
FlyDVS: An Event-Driven Wireless Ultra-Low Power Visual Sensor Node. 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)
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)
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)
Pasquale Davide Schiavone, Davide Rossi, Alfio Di Mauro, Frank K. Gürkaynak, Timothy Saxe, Mao Wang, Ket Chong Yap, Luca Benini
Arnold: An eFPGA-Augmented RISC-V SoC for Flexible and Low-Power IoT End Nodes. IEEE Trans. Very Large Scale Integr. Syst. 29 (4) (2021)
Moritz Scherer, Philipp Mayer, Alfio Di Mauro, Michele Magno, Luca Benini
Towards Always-on Event-based Cameras for Long-lasting Battery-operated Smart Sensor Nodes. I2MTC (2021)
Pasquale Davide Schiavone, Davide Rossi, Alfio Di Mauro, Frank K. Gürkaynak, Timothy Saxe, Mao Wang, Ket Chong Yap, Luca Benini
Arnold: an eFPGA-Augmented RISC-V SoC for Flexible and Low-Power IoT End-Nodes. CoRR (2020)
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)
Alfio Di Mauro, Florian Zaruba, Fabian Schuiki, Stefan Mach, Luca Benini
Live Demonstration: Exploiting Body-Biasing for Static Corner Trimming and Maximum Energy Efficiency Operation in 22nm FDX Technology. ISCAS (2020)
Hayate Okuhara, Ahmed Elnaqib, Davide Rossi, Alfio Di Mauro, Philipp Mayer, Pierpaolo Palestri, Luca Benini
An Energy-Efficient Low-Voltage Swing Transceiver for mW-Range IoT End-Nodes. CoRR (2020)
Alfio Di Mauro, Davide Rossi, Antonio Pullini, Philippe Flatresse, Luca Benini
Performance-aware predictive-model-based on-chip body-bias regulation strategy for an ULP multi-core cluster in 28 nm UTBB FD-SOI. Integr. 72 (2020)
Hayate Okuhara, Ahmed Elnaqib, Davide Rossi, Alfio Di Mauro, Philipp Mayer, Pierpaolo Palestri, Luca Benini
An Energy-Efficient Low-Voltage Swing Transceiver for mW-Range IoT End-Nodes. ISCAS (2020)
Alfio Di Mauro, Davide Rossi, Antonio Pullini, Philippe Flatresse, Luca Benini
Performance-Aware Predictive-Model-Based On-Chip Body-Bias Regulation Strategy for an ULP Multi-Core Cluster in 28nm UTBB FD-SOI. CoRR (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)
Michael Hersche, Edoardo Mello Rella, Alfio Di Mauro, Luca Benini, Abbas Rahimi
Integrating event-based dynamic vision sensors with sparse hyperdimensional computing: a low-power accelerator with online learning capability. ISLPED (2020)
Alfio Di Mauro, Davide Rossi, Antonio Pullini, Philippe Flatresse, Luca Benini
Live Demonstration: Body-Bias Based Performance Monitoring and Compensation for a Near-Threshold Multi-Core Cluster in 28nm FD-SOI Technology. ISCAS (2018)
Antonio Pullini, Davide Rossi, Igor Loi, Alfio Di Mauro, Luca Benini
Mr. Wolf: A 1 GFLOP/s Energy-Proportional Parallel Ultra Low Power SoC for IOT Edge Processing. ESSCIRC (2018)
Alfio Di Mauro, Davide Rossi, Antonio Pullini, Philippe Flatresse, Luca Benini
Temperature and process-aware performance monitoring and compensation for an ULP multi-core cluster in 28nm UTBB FD-SOI technology. PATMOS (2017)
Alfio Di Mauro, Francesco Conti, Luca Benini
An Ultra-Low Power Address-Event Sensor Interface for Energy-Proportional Time-to-Information Extraction. DAC (2017)