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ORCIDLuca Benini
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- affiliation: ETH Zurich
- affiliation: Università di Bologna
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2020 – today
- 2023
[j371]Martin Molan
, Andrea Borghesi, Daniele Cesarini, Luca Benini, Andrea Bartolini:
RUAD: Unsupervised anomaly detection in HPC systems. Future Gener. Comput. Syst. 141: 542-554 (2023)- [j370]Vlad Niculescu, Daniele Palossi, Michele Magno, Luca Benini:
Energy-Efficient, Precise UWB-Based 3-D Localization of Sensor Nodes With a Nano-UAV. IEEE Internet Things J. 10(7): 5760-5777 (2023) - [j369]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) - [j368]Michael Hersche, Mustafa Zeqiri, Luca Benini, Abu Sebastian, Abbas Rahimi:
A neuro-vector-symbolic architecture for solving Raven's progressive matrices. Nat. Mac. Intell. 5(4): 363-375 (2023) - [j367]Chen Xie, Alessio Burrello, Francesco Daghero, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Reducing the Energy Consumption of sEMG-Based Gesture Recognition at the Edge Using Transformers and Dynamic Inference. Sensors 23(4): 2065 (2023) - [j366]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): 744-758 (2023) - [j365]Nils Wistoff, Moritz Schneider, Frank K. Gürkaynak, Gernot Heiser, Luca Benini:
Systematic Prevention of On-Core Timing Channels by Full Temporal Partitioning. IEEE Trans. Computers 72(5): 1420-1430 (2023) - [j364]Denis Mikhaylov, Carla Amatetti, Tommaso Polonelli, Enea Masina, Riccardo Campana, Kai Berszin, Charles Moatti, Davide Amato, Alessandro Vanelli-Coralli, Michele Magno, Luca Benini:
Toward the Future Generation of Railway Localization Exploiting RTK and GNSS. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [j363]Jie Chen, Igor Loi, Eric Flamand, Giuseppe Tagliavini, Luca Benini, Davide Rossi:
Scalable Hierarchical Instruction Cache for Ultralow-Power Processors Clusters. IEEE Trans. Very Large Scale Integr. Syst. 31(4): 456-469 (2023) - [c808]Francesco Conti, Davide Rossi, Gianna Paulin, Anaelo 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 - [d2]Jovin Langenegger, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi:
Raw data related to In-memory factorization of holographic perceptual representations. Zenodo, 2023
- [i197]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 abs/2301.03904 (2023) - [i196]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 abs/2301.10281 (2023) - [i195]Lorenzo Lamberti, Luca Bompani, Victor Javier Kartsch, Manuele Rusci, Daniele Palossi, Luca Benini:
Bio-inspired Autonomous Exploration Policies with CNN-based Object Detection on Nano-drones. CoRR abs/2301.12175 (2023) - [i194]Bruno Sá, Luca Valente, José Martins, Davide Rossi, Luca Benini, Sandro Pinto:
CVA6 RISC-V Virtualization: Architecture, Microarchitecture, and Design Space Exploration. CoRR abs/2302.02969 (2023) - [i193]MohammadHossein AskariHemmat, Theo Dupuis, Yoan Fournier, Nizar El Zarif, Matheus A. Cavalcante, Matteo Perotti, Frank K. Gürkaynak, Luca Benini, François Leduc-Primeau, Yvon Savaria, Jean-Pierre David:
Quark: An Integer RISC-V Vector Processor for Sub-Byte Quantized DNN Inference. CoRR abs/2302.05996 (2023) - [i192]Gianluca Mittone, Nicolò Tonci, Robert Birke, Iacopo Colonnelli, Doriana Medic, Andrea Bartolini, Roberto Esposito, Emanuele Parisi, Francesco Beneventi, Mirko Polato, Massimo Torquati, Luca Benini, Marco Aldinucci:
Experimenting with Emerging ARM and RISC-V Systems for Decentralised Machine Learning. CoRR abs/2302.07946 (2023) - [i191]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) - [i190]Elia Cereda, Luca Crupi, Matteo Risso, Alessio Burrello, Luca Benini, Alessandro Giusti, Daniele Jahier Pagliari, Daniele Palossi:
Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs. CoRR abs/2303.01931 (2023) - [i189]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 abs/2303.08706 (2023) - [i188]Michael Hersche, Aleksandar Terzic, Geethan Karunaratne, Jovin Langenegger, Angéline Pouget, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi:
Factorizers for Distributed Sparse Block Codes. CoRR abs/2303.13957 (2023) - [i187]Samuel Riedel, Matheus A. Cavalcante, Renzo Andri, Luca Benini:
MemPool: A Scalable Manycore Architecture with a Low-Latency Shared L1 Memory. CoRR abs/2303.17742 (2023) - [i186]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 abs/2303.17954 (2023) - [i185]Yannick Schnider, Stanislaw Wozniak, Mathias Gehrig, Jules Lecomte, Axel von Arnim, Luca Benini, Davide Scaramuzza, Angeliki Pantazi:
Neuromorphic Optical Flow and Real-time Implementation with Event Cameras. CoRR abs/2304.07139 (2023) - [i184]Victor J. B. Jung, Arne Symons, Linyan Mei, Marian Verhelst, Luca Benini:
SALSA: Simulated Annealing based Loop-Ordering Scheduler for DNN Accelerators. CoRR abs/2304.12931 (2023) - [i183]Alessandro Ottaviano, Thomas Benz, Paul Scheffler, Luca Benini:
Cheshire: A Lightweight, Linux-Capable RISC-V Host Platform for Domain-Specific Accelerator Plug-In. CoRR abs/2305.04760 (2023) - [i182]Thomas Benz, Michael Rogenmoser, Paul Scheffler, Samuel Riedel, Alessandro Ottaviano, Andreas Kurth, Torsten Hoefler, Luca Benini:
A High-performance, Energy-efficient Modular DMA Engine Architecture. CoRR abs/2305.05240 (2023) - [i181]Paul Scheffler, Florian Zaruba, Fabian Schuiki, Torsten Hoefler, Luca Benini:
Sparse Stream Semantic Registers: A Lightweight ISA Extension Accelerating General Sparse Linear Algebra. CoRR abs/2305.05559 (2023) - [i180]Sergio Mazzola, Thomas Benz, Björn Forsberg, Luca Benini:
A Data-Driven Approach to Lightweight DVFS-Aware Counter-Based Power Modeling for Heterogeneous Platforms. CoRR abs/2305.06782 (2023) - [i179]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 abs/2305.07325 (2023) - [i178]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) - [i177]Tim Fischer, Michael Rogenmoser, Matheus A. Cavalcante, Frank K. Gürkaynak, Luca Benini:
FlooNoC: A Multi-Tbps Wide NoC for Heterogeneous AXI4 Traffic. CoRR abs/2305.08562 (2023) - [i176]Jonas Kühne, Michele Magno, Luca Benini:
Parallelizing Optical Flow Estimation on an Ultra-Low Power RISC-V Cluster for Nano-UAV Navigation. CoRR abs/2305.13055 (2023) - 2022
- [j362]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): 422-435 (2022) - [j361]Alessio Burrello, Daniele Jahier Pagliari, Pierangelo Maria Rapa, Matilde Semilia, Matteo Risso, Tommaso Polonelli, Massimo Poncino, Luca Benini, Simone Benatti:
Embedding Temporal Convolutional Networks for Energy-efficient PPG-based Heart Rate Monitoring. ACM Trans. Comput. Heal. 3(2): 19:1-19:25 (2022) - [j360]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): 1913-1929 (2022) - [j359]Amirhossein Moallemi, Alessio Burrello, Davide Brunelli, Luca Benini:
Exploring Scalable, Distributed Real-Time Anomaly Detection for Bridge Health Monitoring. IEEE Internet Things J. 9(18): 17660-17674 (2022) - [j358]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) - [j357]Victor Javier Kartsch, Velu Prabhakar Kumaravel, Simone Benatti, Giorgio Vallortigara, Luca Benini, Elisabetta Farella, Marco Buiatti:
Efficient Low-Frequency SSVEP Detection with Wearable EEG Using Normalized Canonical Correlation Analysis. Sensors 22(24): 9803 (2022) - [j356]Vlad Niculescu, Daniele Palossi, Michele Magno, Luca Benini:
Fly, Wake-up, Find: UAV-based Energy-efficient Localization for Distributed Sensor Nodes. Sustain. Comput. Informatics Syst. 34: 100666 (2022) - [j355]Alessio Burrello, Giovanni Zara, Luca Benini, Davide Brunelli, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Traffic Load Estimation from Structural Health Monitoring sensors using supervised learning. Sustain. Comput. Informatics Syst. 35: 100704 (2022) - [j354]Tommaso Polonelli, Michele Magno, Vlad Niculescu, Luca Benini, David E. Boyle:
An open platform for efficient drone-to-sensor wireless ranging and data harvesting. Sustain. Comput. Informatics Syst. 35: 100734 (2022) - [j353]Andreas Kurth, Wolfgang Rönninger, Thomas Benz, Matheus A. Cavalcante, Fabian Schuiki, Florian Zaruba, Luca Benini:
An Open-Source Platform for High-Performance Non-Coherent On-Chip Communication. IEEE Trans. Computers 71(8): 1794-1809 (2022) - [j352]Moritz Scherer, Georg Rutishauser, Lukas Cavigelli, Luca Benini:
CUTIE: Beyond PetaOp/s/W Ternary DNN Inference Acceleration With Better-Than-Binary Energy Efficiency. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 1020-1033 (2022) - [j351]Enrico Tabanelli, Giuseppe Tagliavini, Luca Benini:
Optimizing Random Forest-Based Inference on RISC-V MCUs at the Extreme Edge. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4516-4526 (2022) - [j350]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): 244-257 (2022) - [j349]Gianmarco Cerutti, Lukas Cavigelli, Renzo Andri, Michele Magno, Elisabetta Farella, Luca Benini:
Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 69(5): 2002-2012 (2022) - [j348]Andres Gomez, Andreas Tretter, Pascal Alexander Hager, Praveenth Sanmugarajah, Luca Benini, Lothar Thiele:
Dataflow Driven Partitioning of Machine Learning Applications for Optimal Energy Use in Batteryless Systems. ACM Trans. Embed. Comput. Syst. 21(5): 54:1-54:29 (2022) - [j347]Petar Jokic, Erfan Azarkhish, Andrea Bonetti, Marc Pons, Stéphane Emery, Luca Benini:
A Construction Kit for Efficient Low Power Neural Network Accelerator Designs. ACM Trans. Embed. Comput. Syst. 21(5): 56:1-56:36 (2022) - [j346]Enrico Tabanelli, Davide Brunelli, Andrea Acquaviva, Luca Benini:
Trimming Feature Extraction and Inference for MCU-Based Edge NILM: A Systematic Approach. IEEE Trans. Ind. Informatics 18(2): 943-952 (2022) - [j345]Xiaying Wang, Fabian Geiger, Vlad Niculescu, Michele Magno, Luca Benini:
Leveraging Tactile Sensors for Low Latency Embedded Smart Hands for Prosthetic and Robotic Applications. IEEE Trans. Instrum. Meas. 71: 1-14 (2022) - [j344]Fabio Montagna, Stefan Mach, Simone Benatti, Angelo Garofalo, Gianmarco Ottavi, Luca Benini, Davide Rossi, Giuseppe Tagliavini:
A Low-Power Transprecision Floating-Point Cluster for Efficient Near-Sensor Data Analytics. IEEE Trans. Parallel Distributed Syst. 33(5): 1038-1053 (2022) - [j343]Andreas Kurth, Björn Forsberg, Luca Benini:
HEROv2: Full-Stack Open-Source Research Platform for Heterogeneous Computing. IEEE Trans. Parallel Distributed Syst. 33(10): 4368-4382 (2022) - [c807]Cristian Cioflan, Lukas Cavigelli, Manuele Rusci, Miguel de Prado, Luca Benini:
Towards On-device Domain Adaptation for Noise-Robust Keyword Spotting. AICAS 2022: 82-85 - [c806]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 - [c805]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: 170-173 - [c804]Lorenzo Lamberti, Vlad Niculescu, Michal Barcis, Lorenzo Bellone, Enrico Natalizio, Luca Benini, Daniele Palossi:
Tiny-PULP-Dronets: Squeezing Neural Networks for Faster and Lighter Inference on Multi-Tasking Autonomous Nano-Drones. AICAS 2022: 287-290 - [c803]Alessio Burrello, Giacomo Sintoni, Davide Brunelli, Luca Benini:
Adversarially-Trained Tiny Autoencoders for Near-Sensor Continuous Structural Health Monitoring. AICAS 2022: 439-442 - [c802]Luca Bertaccini, Gianna Paulin, Tim Fischer, Stefan Mach, Luca Benini:
MiniFloat-NN and ExSdotp: An ISA Extension and a Modular Open Hardware Unit for Low-Precision Training on RISC-V Cores. ARITH 2022: 1-8 - [c801]Matteo Perotti, Matheus A. Cavalcante, Nils Wistoff, Renzo Andri, Lukas Cavigelli, Luca Benini:
A "New Ara" for Vector Computing: An Open Source Highly Efficient RISC-V V 1.0 Vector Processor Design. ASAP 2022: 43-51 - [c800]Alessio Burrello, Daniele Jahier Pagliari, Marzia Bianco, Enrico Macii, Luca Benini, Massimo Poncino, Simone Benatti:
Improving PPG-based Heart-Rate Monitoring with Synthetically Generated Data. BioCAS 2022: 153-157 - [c799]Victor Javier Kartsch Morinigo, Simone Benatti, Luca Benini:
A High SNR, Low-latency Dry EMG Acquisition System for Unobtrusive HMI Devices. BioCAS 2022: 544-548 - [c798]Paola Busia, Andrea Cossettini, Thorir Mar Ingolfsson, Simone Benatti, Alessio Burrello, Moritz Scherer, Matteo Antonio Scrugli, Paolo Meloni, Luca Benini:
EEGformer: Transformer-Based Epilepsy Detection on Raw EEG Traces for Low-Channel-Count Wearable Continuous Monitoring Devices. BioCAS 2022: 640-644 - [c797]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: 704-708 - [c796]Giovanni Bambini, Christian Conficoni, Andrea Tilli, Luca Benini, Andrea Bartolini:
Modeling the Thermal and Power Control Subsystem in HPC Processors. CCTA 2022: 397-402 - [c795]Mohsen Seyedkazemi Ardebili, Andrea Bartolini, Luca Benini:
Multi-level anomaly prediction in Tier-0 datacenter: a deep learning approach. CF 2022: 197-198 - [c794]Martin Molan, Andrea Borghesi, Luca Benini, Andrea Bartolini:
Semi-supervised anomaly detection on a Tier-0 HPC system. CF 2022: 203-204 - [c793]Federico Ficarelli, Andrea Bartolini, Emanuele Parisi, Francesco Beneventi, Francesco Barchi, Daniele Gregori, Fabrizio Magugliani, Marco Cicala, Cosimo Gianfreda, Daniele Cesarini, Andrea Acquaviva, Luca Benini:
Meet Monte Cimone: exploring RISC-V high performance compute clusters. CF 2022: 207-208 - [c792]Thorir Mar Ingolfsson, Mark Vero, Xiaying Wang, Lorenzo Lamberti, Luca Benini, Matteo Spallanzani:
Reducing neural architecture search spaces with training-free statistics and computational graph clustering. CF 2022: 213-214 - [c791]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 - [c790]Matteo Spallanzani, Gian Paolo Leonardi, Luca Benini:
Training Quantised Neural Networks with STE Variants: the Additive Noise Annealing Algorithm. CVPR 2022: 470-479 - [c789]Michael Hersche, Geethan Karunaratne, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi:
Constrained Few-shot Class-incremental Learning. CVPR 2022: 9047-9057 - [c788]Andrea Cossettini, Konstantin Taranov, Christian Vogt, Michele Magno, Torsten Hoefler, Luca Benini:
A RDMA Interface for Ultra-Fast Ultrasound Data-Streaming over an Optical Link. DATE 2022: 80-83 - [c787]Matheus A. Cavalcante, Anthony Agnesina, Samuel Riedel, Moritz Brunion, Alberto García-Ortiz, Dragomir Milojevic, Francky Catthoor, Sung Kyu Lim, Luca Benini:
MemPool-3D: Boosting Performance and Efficiency of Shared-L1 Memory Many-Core Clusters with 3D Integration. DATE 2022: 394-399 - [c786]Georg Rutishauser, Moritz Scherer, Tim Fischer, Luca Benini:
Ternarized TCN for $\mu \mathrm{J}/\text{Inference}$ Gesture Recognition from DVS Event Frames. DATE 2022: 736-741 - [c785]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 - [c784]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: 1099-1102 - [c783]Alessio Burrello, Francesco Bianco Morghet, Moritz Scherer, Simone Benatti, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition. DATE 2022: 1443-1448 - [c782]Sergei Vostrikov, Andrea Cossettini, Christoph Leitner, Christian Baumgartner, Luca Benini:
AEPUS: a tool for the Automated Extraction of Pennation angles in Ultrasound images with low Signal-to-noise ratio for plane-wave imaging. EMBC 2022: 1520-1526 - [c781]Riccardo Donati, Victor Javier Kartsch, Luca Benini, Simone Benatti:
BioWolf16: a 16-channel, 24-bit, 4kSPS Ultra-Low Power Platform for Wearable Clinical-grade Bio-potential Parallel Processing and Streaming. EMBC 2022: 2518-2522 - [c780]Marco Guermandi, Andrea Cossettini, Simone Benatti, Luca Benini:
A Wireless System for EEG Acquisition and Processing in an Earbud Form Factor with 600 Hours Battery Lifetime. EMBC 2022: 3139-3145 - [c779]Thorir Mar Ingolfsson, Andrea Cossettini, Simone Benatti, Luca Benini:
Energy-Efficient Tree-Based EEG Artifact Detection. EMBC 2022: 3723-3728 - [c778]Geethan Karunaratne, Michael Hersche, Jovin Langenegger, Giovanni Cherubini, Manuel Le Gallo, Urs Egger, Kevin Brew, Samuel Choi, Injo Ok, Mary Claire Silvestre, Ning Li, Nicole Saulnier, Victor Chan, Ishtiaq Ahsan, Vijay Narayanan, Luca Benini, Abu Sebastian, Abbas Rahimi:
In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory. ESSCIRC 2022: 105-108 - [c777]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: 273-276 - [c776]Oscar Castañeda, Luca Benini, Christoph Studer:
A 283 pJ/b 240 Mb/s Floating-Point Baseband Accelerator for Massive MU-MIMO in 22FDX. ESSCIRC 2022: 357-360 - [c775]Martin Molan, Andrea Borghesi, Luca Benini, Andrea Bartolini:
Analysing Supercomputer Nodes Behaviour with the Latent Representation of Deep Learning Models. Euro-Par 2022: 171-185 - [c774]Martin Molan, Andrea Borghesi, Luca Benini, Andrea Bartolini:
Machine Learning Methodologies to Support HPC Systems Operations: Anomaly Detection. Euro-Par Workshops 2022: 294-298 - [c773]Alberto Dequino, Francesco Conti, Luca Benini:
ViT-LR: Pushing the Envelope for Transformer-Based on-Device Embedded Continual Learning. IGSC 2022: 1-6 - [c772]Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes. IGSC 2022: 1-6 - [c771]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 - [c770]Vlad Niculescu, Hanna Müller, Iman Ostovar, Tommaso Polonelli, Michele Magno, Luca Benini:
Towards a Multi-Pixel Time-of-Flight Indoor Navigation System for Nano-Drone Applications. I2MTC 2022: 1-6 - [c769]Matheus A. Cavalcante, Domenic Wüthrich, Matteo Perotti, Samuel Riedel, Luca Benini:
Spatz: A Compact Vector Processing Unit for High-Performance and Energy-Efficient Shared-L1 Clusters. ICCAD 2022: 22 - [c768]Iman Ostovar, Vlad Niculescu, Hanna Müller, Tommaso Polonelli, Michele Magno, Luca Benini:
Demo Abstract: Towards Reliable Obstacle Avoidance for Nano-UAVs. IPSN 2022: 501-502 - [c767]Jonas Kühne, Michele Magno, Luca Benini:
Parallelizing Optical Flow Estimation on an Ultra-Low Power RISC-V Cluster for Nano-UAV Navigation. ISCAS 2022: 301-305 - [c766]Anthony Agnesina, Moritz Brunion, Alberto García Ortiz, Francky Catthoor, Dragomir Milojevic, Manu Komalan, Matheus A. Cavalcante, Samuel Riedel, Luca Benini, Sung Kyu Lim:
Hier-3D: A Hierarchical Physical Design Methodology for Face-to-Face-Bonded 3D ICs. ISLPED 2022: 15:1-15:6 - [c765]Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks. ISLPED 2022: 28:1-28:6 - [c764]Gianna Paulin, Matheus A. Cavalcante, Paul Scheffler, Luca Bertaccini, Yichao Zhang, Frank K. Gürkaynak, Luca Benini:
Soft Tiles: Capturing Physical Implementation Flexibility for Tightly-Coupled Parallel Processing Clusters. ISVLSI 2022: 44-49 - [c763]Michael Rogenmoser, Nils Wistoff, Pirmin Vogel, Frank K. Gürkaynak, Luca Benini:
On-Demand Redundancy Grouping: Selectable Soft-Error Tolerance for a Multicore Cluster. ISVLSI 2022: 398-401 - [c762]Luca Benini:
PULP: Extreme Energy Efficiency for Extreme Edge AI Acceleration. MECO 2022: 1 - [c761]Alessandro Ottaviano, Robert Balas, Giovanni Bambini, Corrado Bonfanti, Simone Benatti, Davide Rossi, Luca Benini, Andrea Bartolini:
ControlPULP: A RISC-V Power Controller for HPC Processors with Parallel Control-Law Computation Acceleration. SAMOS 2022: 120-135 - [c760]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: 200-216 - [c759]Sergio Mazzola, Thomas Benz, Björn Forsberg, Luca Benini:
A Data-Driven Approach to Lightweight DVFS-Aware Counter-Based Power Modeling for Heterogeneous Platforms. SAMOS 2022: 346-361 - [c758]Carla Amatetti, Tommaso Polonelli, Enea Masina, Charles Moatti, Denis Mikhaylov, Davide Amato, Alessandro Vanelli-Coralli, Michele Magno, Luca Benini:
Towards the Future Generation of Railway Localization and Signaling Exploiting sub-meter RTK GNSS. SAS 2022: 1-6 - [c757]Soley Hafthorsdottir, Sergei Vostrikov, Andrea Cossettini, Michael Rieder, Christoph Leitner, Michele Magno, Luca Benini:
Automatic Extraction of Muscle Fascicle Pennation Angle from Raw Ultrasound Data. SAS 2022: 1-5 - [c756]