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ORCIDAlfio Di Mauro
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- affiliation: ETH Zürich, Switzerland
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2020 – today
- 2024
[j9]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): 128-142 (2024)- [j8]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): 2055-2069 (2024) - [c21]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 - [i15]Viviane Potocnik, Alfio Di Mauro, Lorenzo Lamberti, Victor Javier Kartsch, Moritz Scherer, Francesco Conti, Luca Benini:
Circuits and Systems for Embodied AI: Exploring uJ Multi-Modal Perception for Nano-UAVs on the Kraken Shield. CoRR abs/2410.09054 (2024) - 2023
- [j7]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: 126885 (2023) - [j6]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): 42-48 (2023) - [j5]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): 2450-2463 (2023) - [c20]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: 1-5 - [c19]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: 217-220 - [c18]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: 1-5 - [c17]Francesco Conti, Davide Rossi, Gianna Paulin, Angelo Garofalo, Alfio Di Mauro, Georg Rutishauser, 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: 326-327 - [c16]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: 287-292 - [i14]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 abs/2302.07957 (2023) - [i13]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 abs/2305.08415 (2023) - [i12]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 abs/2305.18371 (2023) - [i11]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 abs/2312.14750 (2023) - 2022
- [j4]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): 127-139 (2022) - [c15]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: 134-137 - [c14]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: 1-3 - [c13]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: 825-830 - [c12]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: 1-19 - [i10]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 abs/2201.08656 (2022) - [i9]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 abs/2204.10687 (2022) - [i8]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 abs/2209.01065 (2022) - [i7]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 abs/2210.06287 (2022) - [i6]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 abs/2212.00688 (2022) - 2021
- [j3]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): 677-690 (2021) - [c11]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: 1851-1854 - [c10]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: 267-270 - [c9]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: 1-6 - [c8]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: 60-62 - [i5]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 abs/2110.09101 (2021) - 2020
- [j2]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: 194-207 (2020) - [j1]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. 67-I(11): 3905-3918 (2020) - [c7]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: 1 - [c6]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: 1-5 - [c5]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: 169-174 - [i4]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 abs/2006.14256 (2020) - [i3]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 abs/2007.08952 (2020) - [i2]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 abs/2007.13667 (2020) - [i1]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 abs/2010.04566 (2020)
2010 – 2019
- 2018
- [c4]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: 274-277 - [c3]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: 1- - 2017
- [c2]Alfio Di Mauro, Francesco Conti, Luca Benini:
An Ultra-Low Power Address-Event Sensor Interface for Energy-Proportional Time-to-Information Extraction. DAC 2017: 75:1-75:6 - [c1]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: 1-8
Coauthor Index
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