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ORCIDLuca Benini
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- affiliation: ETH Zurich, Switzerland
- affiliation: Università di Bologna, Italy
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2020 – today
- 2023
[j373]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)- [j372]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) - [j371]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) - [j370]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) - [j369]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) - [j368]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) - [j367]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) - [j366]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) - [j365]Enrico Tabanelli, Giuseppe Tagliavini, Luca Benini:
DNN Is Not All You Need: Parallelizing Non-neural ML Algorithms on Ultra-low-power IoT Processors. ACM Trans. Embed. Comput. Syst. 22(3): 56:1-56:33 (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) - [c849]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 - [c848]Victor J. B. Jung, Arne Symons, Linyan Mei, Marian Verhelst, Luca Benini:
SALSA: Simulated Annealing based Loop-Ordering Scheduler for DNN Accelerators. AICAS 2023: 1-5 - [c847]Georg Rutishauser, Francesco Conti, Luca Benini:
Free Bits: Latency Optimization of Mixed-Precision Quantized Neural Networks on the Edge. AICAS 2023: 1-5 - [c846]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 RISC-V Systems for Decentralised Machine Learning. CF 2023: 73-83 - [c845]Sebastian Frey, Marco Guermandi, Simone Benatti, Victor Javier Kartsch, Andrea Cossettini, Luca Benini:
BioGAP: a 10-Core FP-capable Ultra-Low Power IoT Processor, with Medical-Grade AFE and BLE Connectivity for Wearable Biosignal Processing. COINS 2023: 1-7 - [c844]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. CVPR Workshops 2023: 4129-4138 - [c843]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: 1-6 - [c842]Patrick Iff, Maciej Besta, Matheus A. Cavalcante, Tim Fischer, Luca Benini, Torsten Hoefler:
Sparse Hamming Graph: A Customizable Network-on-Chip Topology. DAC 2023: 1-6 - [c841]Patrick Iff, Maciej Besta, Matheus A. Cavalcante, Tim Fischer, Luca Benini, Torsten Hoefler:
HexaMesh: Scaling to Hundreds of Chiplets with an Optimized Chiplet Arrangement. DAC 2023: 1-6 - [c840]Vikram Jain, Matheus A. Cavalcante, Nazareno Bruschi, Michael Rogenmoser, Thomas Benz, Andreas Kurth, Davide Rossi, Luca Benini, Marian Verhelst:
PATRONoC: Parallel AXI Transport Reducing Overhead for Networks-on-Chip targeting Multi-Accelerator DNN Platforms at the Edge. DAC 2023: 1-6 - [c839]Arpan Suravi Prasad, Luca Benini, Francesco Conti:
Specialization meets Flexibility: a Heterogeneous Architecture for High-Efficiency, High-flexibility AR/VR Processing. DAC 2023: 1-6 - [c838]Marco Bertuletti, Yichao Zhang, Alessandro Vanelli-Coralli, Luca Benini:
Efficient Parallelization of 5G-PUSCH on a Scalable RISC-V Many-Core Processor. DATE 2023: 1-6 - [c837]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: 1-6 - [c836]Alessio Burrello, Matteo Risso, Noemi Tomasello, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation. DATE 2023: 1-6 - [c835]Yaoxing Chang, Petar Jokic, Stéphane Emery, Luca Benini:
An Ultra-Low-Power Serial Implementation for Sigmoid and Tanh Using CORDIC Algorithm. DATE 2023: 1-2 - [c834]Manil Dev Gomony, Floran de Putter, Anteneh Gebregiorgis, Gianna Paulin, Linyan Mei, Vikram Jain, Said Hamdioui, Victor Sanchez, Tobias Grosser, Marc Geilen, Marian Verhelst, Friedemann Zenke, Frank K. Gürkaynak, Barry de Bruin, Sander Stuijk, Simon Davidson, Sayandip De, Mounir Ghogho, Alexandra Jimborean, Sherif Eissa, Luca Benini, Dimitrios Soudris, Rajendra Bishnoi, Sam Ainsworth, Federico Corradi, Ouassim Karrakchou, Tim Güneysu, Henk Corporaal:
PetaOps/W edge-AI $\mu$ Processors: Myth or reality? DATE 2023: 1-6 - [c833]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. DATE 2023: 1-6 - [c832]Seyed Ahmad Mirsalari, Giuseppe Tagliavini, Davide Rossi, Luca Benini:
TransLib: A Library to Explore Transprecision Floating-Point Arithmetic on Multi-Core IoT End-Nodes. DATE 2023: 1-2 - [c831]Hanna Müller, Nicky Zimmerman, Tommaso Polonelli, Michele Magno, Jens Behley, Cyrill Stachniss, Luca Benini:
Fully On-board Low-Power Localization with Multizone Time-of-Flight Sensors on Nano-UAVs. DATE 2023: 1-6 - [c830]Samuel Riedel, Gua Hao Khov, Sergio Mazzola, Matheus A. Cavalcante, Renzo Andri, Luca Benini:
MemPool Meets Systolic: Flexible Systolic Computation in a Large Shared-Memory Processor Cluster. DATE 2023: 1-2 - [c829]Luca Valente, Yvan Tortorella, Mattia Sinigaglia, Giuseppe Tagliavini, Alessandro Capotondi, Luca Benini, Davide Rossi:
HULK-V: a Heterogeneous Ultra-low-power Linux capable RISC-V SoC. DATE 2023: 1-6 - [c828]Chi Zhang, Paul Scheffler, Thomas Benz, Matteo Perotti, Luca Benini:
AXI-Pack: Near-Memory Bus Packing for Bandwidth-Efficient Irregular Workloads. DATE 2023: 1-6 - [c827]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: 1-10 - [c826]Xinchen Gao, Yawei Li, Wen Li, Lixin Duan, Luc Van Gool, Luca Benini, Michele Magno:
Learning continuous piecewise non-linear activation functions for deep neural networks. ICME 2023: 1835-1840 - [c825]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. ICRA 2023: 6065-6071 - [c824]MohammadHossein AskariHemmat, Théo 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. ISCAS 2023: 1-5 - [c823]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 - [c822]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. ISCAS 2023: 1-5 - [c821]Gamze Islamoglu, Moritz Scherer, Gianna Paulin, Tim Fischer, Victor J. B. Jung, Angelo Garofalo, Luca Benini:
ITA: An Energy-Efficient Attention and Softmax Accelerator for Quantized Transformers. ISLPED 2023: 1-6 - [c820]Matteo Risso, Alessio Burrello, Giuseppe Maria Sarda, Luca Benini, Enrico Macii, Massimo Poncino, Marian Verhelst, Daniele Jahier Pagliari:
Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference. ISLPED 2023: 1-6 - [c819]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 - [c818]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: 1-6 - [c817]Luca Benini:
From Nano-Drones to Cars - A RISC-V Open Platform for next-generation Vehicles. IWASI 2023: 8 - [c816]Tommaso Polonelli, Casimir Feldmann, Vlad Niculescu, Hanna Müller, Michele Magno, Luca Benini:
Towards Robust and Efficient On-board Mapping for Autonomous Miniaturized UAVs. IWASI 2023: 9-14 - [c815]Philipp Mayer, Rabea Rogge, Andrin Caviezel, Jessica Munch, Adrian Ringenbach, Michele Magno, Luca Benini:
Design and Evaluation of a LoRa Controlled Rugged Multisensor Unit for Induced Rockfall Experiments. IWASI 2023: 52-57 - [c814]Jonas Kühne, Michele Magno, Luca Benini:
A Fast and Accurate Optical Flow Camera for Resource-Constrained Edge Applications. IWASI 2023: 143-148 - [c813]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 - [c812]Marcello Zanghieri, Simone Benatti, Luca Benini, Elisa Donati:
Event-based Low-Power and Low-Latency Regression Method for Hand Kinematics from Surface EMG. IWASI 2023: 293-298 - [c811]Luca Cuomo, Claudio Scordino, Alessandro Ottaviano, Nils Wistoff, Robert Balas, Luca Benini, Errico Guidieri, Ida Maria Savino:
Towards a RISC-V Open Platform for Next-generation Automotive ECUs. MECO 2023: 1-8 - [c810]Michael Hersche, Mustafa Zeqiri, Luca Benini, Abu Sebastian, Abbas Rahimi:
Solving Raven's Progressive Matrices via a Neuro-vector-symbolic Architecture. NeSy 2023: 425-426 - [c809]Carl Brander, Cristian Cioflan, Vlad Niculescu, Hanna Müller, Tommaso Polonelli, Michele Magno, Luca Benini:
Improving Data-Scarce Image Classification Through Multimodal Synthetic Data Pretraining. SAS 2023: 1-6 - [d3]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
- [d2]Denis Mikhaylov, Carla Amatetti, Tommaso Polonelli, Enea Masina, Riccardo Campana, Kai Berszin, Davide Amato, Alessandro Vanelli-Coralli, Michele Magno, Luca Benini:
Towards the Future Generation of Railway Localization Exploiting RTK and GNSS. Zenodo, 2023 - [i221]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) - [i220]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) - [i219]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) - [i218]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) - [i217]MohammadHossein AskariHemmat, Théo 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) - [i216]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) - [i215]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) - [i214]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) - [i213]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) - [i212]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) - [i211]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) - [i210]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) - [i209]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) - [i208]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) - [i207]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) - [i206]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) - [i205]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) - [i204]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) - [i203]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) - [i202]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) - [i201]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) - [i200]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) - [i199]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) - [i198]Davide Nadalini, Manuele Rusci, Luca Benini, Francesco Conti:
Reduced Precision Floating-Point Optimization for Deep Neural Network On-Device Learning on MicroControllers. CoRR abs/2305.19167 (2023) - [i197]Matteo Risso, Alessio Burrello, Giuseppe Maria Sarda, Luca Benini, Enrico Macii, Massimo Poncino, Marian Verhelst, Daniele Jahier Pagliari:
Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference. CoRR abs/2306.05060 (2023) - [i196]Alessio Burrello, Matteo Risso, Noemi Tomasello, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation. CoRR abs/2306.06129 (2023) - [i195]Alessandro Ottaviano, Robert Balas, Giovanni Bambini, Antonio del Vecchio, Maicol Ciani, Davide Rossi, Luca Benini, Andrea Bartolini:
ControlPULP: A RISC-V On-Chip Parallel Power Controller for Many-Core HPC Processors with FPGA-Based Hardware-In-The-Loop Power and Thermal Emulation. CoRR abs/2306.09501 (2023) - [i194]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 abs/2306.15552 (2023) - [i193]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 abs/2307.01056 (2023) - [i192]Sebastian Frey, Marco Guermandi, Simone Benatti, Victor Javier Kartsch, Andrea Cossettini, Luca Benini:
BioGAP: a 10-Core FP-capable Ultra-Low Power IoT Processor, with Medical-Grade AFE and BLE Connectivity for Wearable Biosignal Processing. CoRR abs/2307.01619 (2023) - [i191]Georg Rutishauser, Francesco Conti, Luca Benini:
Free Bits: Latency Optimization of Mixed-Precision Quantized Neural Networks on the Edge. CoRR abs/2307.02894 (2023) - [i190]Gamze Islamoglu, Moritz Scherer, Gianna Paulin, Tim Fischer, Victor J. B. Jung, Angelo Garofalo, Luca Benini:
ITA: An Energy-Efficient Attention and Softmax Accelerator for Quantized Transformers. CoRR abs/2307.03493 (2023) - [i189]Luca Cuomo, Claudio Scordino, Alessandro Ottaviano, Nils Wistoff, Robert Balas, Luca Benini, Errico Guidieri, Ida Maria Savino:
Towards a RISC-V Open Platform for Next-generation Automotive ECUs. CoRR abs/2307.04148 (2023) - [i188]W. A. Ahmad, Andrea Bartolini, Francesco Beneventi, Luca Benini, Andrea Borghesi, Marco Cicala, Privato Forestieri, Cosimo Gianfreda, Daniele Gregori, Antonio Libri, Filippo Spiga, Simone Tinti:
Design of an energy aware petaflops class high performance cluster based on power architecture. CoRR abs/2307.05790 (2023) - [i187]Julian Moosmann, Hanna Müller, Nicky Zimmerman, Georg Rutishauser, Luca Benini, Michele Magno:
Flexible and Fully Quantized Ultra-Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems. CoRR abs/2307.05999 (2023) - [i186]Marco Bertuletti, Samuel Riedel, Yichao Zhang, Alessandro Vanelli-Coralli, Luca Benini:
Fast Shared-Memory Barrier Synchronization for a 1024-Cores RISC-V Many-Core Cluster. CoRR abs/2307.10248 (2023) - [i185]Mahyar Pourjabar, Ahmed AlKatheeri, Manuele Rusci, Agata Barcis, Vlad Niculescu, Eliseo Ferrante, Daniele Palossi, Luca Benini:
Land & Localize: An Infrastructure-free and Scalable Nano-Drones Swarm with UWB-based Localization. CoRR abs/2307.10255 (2023) - [i184]Vikram Jain, Matheus A. Cavalcante, Nazareno Bruschi, Michael Rogenmoser, Thomas Benz, Andreas Kurth, Davide Rossi, Luca Benini, Marian Verhelst:
PATRONoC: Parallel AXI Transport Reducing Overhead for Networks-on-Chip targeting Multi-Accelerator DNN Platforms at the Edge. CoRR abs/2308.00154 (2023) - [i183]Jie Chen, Igor Loi, Eric Flamand, Giuseppe Tagliavini, Luca Benini, Davide Rossi:
Scalable Hierarchical Instruction Cache for Ultra-Low-Power Processors Clusters. CoRR abs/2309.01299 (2023) - [i182]Mikhail Khalilov, Marcin Chrapek, Siyuan Shen, Alessandro Vezzu, Thomas Benz, Salvatore Di Girolamo, Timo Schneider, Daniele De Sensi, Luca Benini, Torsten Hoefler:
OSMOSIS: Enabling Multi-Tenancy in Datacenter SmartNICs. CoRR abs/2309.03628 (2023) - [i181]Carl Friess, Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini:
Fully Onboard SLAM for Distributed Mapping with a Swarm of Nano-Drones. CoRR abs/2309.03678 (2023) - [i180]Sebastian Frey, Victor Javier Kartsch, Christoph Leitner, Andrea Cossettini, Sergei Vostrikov, Simone Benatti, Luca Benini:
A Wearable Ultra-Low-Power sEMG-Triggered Ultrasound System for Long-Term Muscle Activity Monitoring. CoRR abs/2309.06851 (2023) - [i179]Thorir Mar Ingolfsson, Upasana Chakraborty, Xiaying Wang, Sándor Beniczky, Pauline Ducouret, Simone Benatti, Philippe Ryvlin, Andrea Cossettini, Luca Benini:
EpiDeNet: An Energy-Efficient Approach to Seizure Detection for Embedded Systems. CoRR abs/2309.07135 (2023) - [i178]Xiaying Wang, Lan Mei, Victor Javier Kartsch, Andrea Cossettini, Luca Benini:
Enhancing Performance, Calibration Time and Efficiency in Brain-Machine Interfaces through Transfer Learning and Wearable EEG Technology. CoRR abs/2309.07798 (2023) - [i177]Matheus A. Cavalcante, Matteo Perotti, Samuel Riedel, Luca Benini:
Spatz: Clustering Compact RISC-V-Based Vector Units to Maximize Computing Efficiency. CoRR abs/2309.10137 (2023) - [i176]Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini:
NanoSLAM: Enabling Fully Onboard SLAM for Tiny Robots. CoRR abs/2309.12008 (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]