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ORCIDLuca Benini
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- affiliation: University of Bologna, Italy
- affiliation: ETH Zurich, Switzerland
- affiliation (former): Università di Bologna, Italy
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2020 – today
- 2025
[j418]Paul Scheffler, Thomas Benz, Viviane Potocnik, Tim Fischer, Luca Colagrande, Nils Wistoff, Yichao Zhang, Luca Bertaccini, Gianmarco Ottavi, Manuel Eggimann, Matheus A. Cavalcante, Gianna Paulin, Frank K. Gürkaynak, Davide Rossi, Luca Benini:
Occamy: A 432-Core Dual-Chiplet Dual-HBM2E 768-DP-GFLOP/s RISC-V System for 8-to-64-bit Dense and Sparse Computing in 12-nm FinFET. IEEE J. Solid State Circuits 60(4): 1324-1338 (2025)- [j417]Paola Busia
, Matteo Antonio Scrugli, Victor Jean-Baptiste Jung, Luca Benini, Paolo Meloni:
A Tiny Transformer for Low-Power Arrhythmia Classification on Microcontrollers. IEEE Trans. Biomed. Circuits Syst. 19(1): 142-152 (2025) - [j416]Victor Jean-Baptiste Jung, Alessio Burrello, Moritz Scherer, Francesco Conti, Luca Benini:
Optimizing the Deployment of Tiny Transformers on Low-Power MCUs. IEEE Trans. Computers 74(2): 526-541 (2025) - [j415]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. ACM Trans. Cyber Phys. Syst. 9(1): 8:1-8:29 (2025) - [j414]Luca Colagrande, Luca Benini:
Taming Offload Overheads in a Massively Parallel Open-Source RISC-V MPSoC: Analysis and Optimization. IEEE Trans. Parallel Distributed Syst. 36(6): 1193-1205 (2025) - [j413]Sudipta Das, Samuel Riedel, Mohamed Naeim, Moritz Brunion, Marco Bertuletti, Luca Benini, Julien Ryckaert, James Myers, Dwaipayan Biswas, Dragomir Milojevic:
Bandwidth-Latency-Thermal Co-Optimization of Interconnect-Dominated Many-Core 3D-IC. IEEE Trans. Very Large Scale Integr. Syst. 33(2): 346-357 (2025) - [j412]Tim Fischer, Michael Rogenmoser, Thomas Benz, Frank K. Gürkaynak, Luca Benini:
FlooNoC: A 645-Gb/s/link 0.15-pJ/B/hop Open-Source NoC With Wide Physical Links and End-to-End AXI4 Parallel Multistream Support. IEEE Trans. Very Large Scale Integr. Syst. 33(4): 1094-1107 (2025) - [c909]Alexandre Lopoukhine, Federico Ficarelli, Christos Vasiladiotis, Anton Lydike, Josse Van Delm, Alban Dutilleul, Luca Benini, Marian Verhelst, Tobias Grosser:
A Multi-level Compiler Backend for Accelerated Micro-kernels Targeting RISC-V ISA Extensions. CGO 2025: 163-178 - [i336]Paul Scheffler, Thomas Benz, Viviane Potocnik, Tim Fischer, Luca Colagrande, Nils Wistoff, Yichao Zhang, Luca Bertaccini, Gianmarco Ottavi, Manuel Eggimann, Matheus A. Cavalcante, Gianna Paulin, Frank K. Gürkaynak, Davide Rossi, Luca Benini:
Occamy: A 432-Core Dual-Chiplet Dual-HBM2E 768-DP-GFLOP/s RISC-V System for 8-to-64-bit Dense and Sparse Computing in 12nm FinFET. CoRR abs/2501.07330 (2025) - [i335]Thomas Benz, Alessandro Ottaviano, Chaoqun Liang, Robert Balas, Angelo Garofalo, Francesco Restuccia, Alessandro Biondi, Davide Rossi, Luca Benini:
AXI-REALM: Safe, Modular and Lightweight Traffic Monitoring and Regulation for Heterogeneous Mixed-Criticality Systems. CoRR abs/2501.10161 (2025) - [i334]Navaneeth Kunhi Purayil, Matteo Perotti, Tim Fischer, Luca Benini:
AraXL: A Physically Scalable, Ultra-Wide RISC-V Vector Processor Design for Fast and Efficient Computation on Long Vectors. CoRR abs/2501.10301 (2025) - [i333]Alexandru Dimofte, Glenn Anta Bucagu, Thorir Mar Ingolfsson, Xiaying Wang, Andrea Cossettini, Luca Benini, Yawei Li:
CEReBrO: Compact Encoder for Representations of Brain Oscillations Using Efficient Alternating Attention. CoRR abs/2501.10885 (2025) - [i332]Diyou Shen, Yichao Zhang, Marco Bertuletti, Luca Benini:
TCDM Burst Access: Breaking the Bandwidth Barrier in Shared-L1 RVV Clusters Beyond 1000 FPUs. CoRR abs/2501.14370 (2025) - [i331]Chaoqun Liang, Thomas Benz, Alessandro Ottaviano, Angelo Garofalo, Luca Benini, Davide Rossi:
Towards Reliable Systems: A Scalable Approach to AXI4 Transaction Monitoring. CoRR abs/2501.17605 (2025) - [i330]Patrick Iff, Benigna Bruggmann, Maciej Besta, Luca Benini, Torsten Hoefler:
PlaceIT: Placement-based Inter-Chiplet Interconnect Topologies. CoRR abs/2502.01449 (2025) - [i329]Thomas Benz, Paul Scheffler, Nils Wistoff, Philippe Sauter, Beat Muheim, Luca Benini:
ArtistIC: An Open-Source Toolchain for Top-Metal IC Art and Ultra-High-Fidelity GDSII Renders. CoRR abs/2502.02626 (2025) - [i328]Alexandre Lopoukhine, Federico Ficarelli, Christos Vasiladiotis, Anton Lydike, Josse Van Delm, Alban Dutilleul, Luca Benini, Marian Verhelst, Tobias Grosser:
A Multi-level Compiler Backend for Accelerated Micro-kernels Targeting RISC-V ISA Extensions. CoRR abs/2502.04063 (2025) - [i327]Philippe Sauter, Thomas Benz, Paul Scheffler, Hannah Pochert, Luisa Wüthrich, Martin Poviser, Beat Muheim, Frank K. Gürkaynak, Luca Benini:
Croc: An End-to-End Open-Source Extensible RISC-V MCU Platform to Democratize Silicon. CoRR abs/2502.05090 (2025) - [i326]Anna Tegon, Thorir Mar Ingolfsson, Xiaying Wang, Luca Benini, Yawei Li:
FEMBA: Efficient and Scalable EEG Analysis with a Bidirectional Mamba Foundation Model. CoRR abs/2502.06438 (2025) - [i325]Cyril Koenig, Enrico Zelioli, Luca Benini:
Evaluating IOMMU-Based Shared Virtual Addressing for RISC-V Embedded Heterogeneous SoCs. CoRR abs/2502.17398 (2025) - [i324]Bálint Tóth, Dominik Senti, Thorir Mar Ingolfsson, Jeffrey Zweidler, Alexandre Elsig, Luca Benini, Yawei Li:
Finetuning and Quantization of EEG-Based Foundational BioSignal Models on ECG and PPG Data for Blood Pressure Estimation. CoRR abs/2502.17460 (2025) - [i323]Angelo Garofalo, Alessandro Ottaviano, Matteo Perotti, Thomas Benz, Yvan Tortorella, Robert Balas, Michael Rogenmoser, Chi Zhang, Luca Bertaccini, Nils Wistoff, Maicol Ciani, Cyril Koenig, Mattia Sinigaglia, Luca Valente, Paul Scheffler, Manuel Eggimann, Matheus A. Cavalcante, Francesco Restuccia, Alessandro Biondi, Francesco Conti, Frank K. Gürkaynak, Davide Rossi, Luca Benini:
A Reliable, Time-Predictable Heterogeneous SoC for AI-Enhanced Mixed-Criticality Edge Applications. CoRR abs/2502.18953 (2025) - [i322]Luca Colagrande, Luca Benini:
A Multicast-Capable AXI Crossbar for Many-core Machine Learning Accelerators. CoRR abs/2502.19215 (2025) - [i321]Mattia Sinigaglia, Amirhossein Kiamarzi, Marco Bertuletti, Luigi Ghionda, Mattia Orlandi, Riccardo Tedeschi, Aurora Di Giampietro, Yvan Tortorella, Luca Bertaccini, Simone Benatti, Giuseppe Tagliavini, Luca Benini, Francesco Conti, Davide Rossi:
Maestro: A 302 GFLOPS/W and 19.8GFLOPS RISC-V Vector-Tensor Architecture for Wearable Ultrasound Edge Computing. CoRR abs/2503.04581 (2025) - [i320]Francesco Daghero, Daniele Jahier Pagliari, Francesco Conti, Luca Benini, Massimo Poncino, Alessio Burrello:
Lightweight Software Kernels and Hardware Extensions for Efficient Sparse Deep Neural Networks on Microcontrollers. CoRR abs/2503.06183 (2025) - [i319]Chi Xu, Gefei Zhang, Yantong Zhu, Luca Benini, Guosheng Hu, Yawei Li, Zhihong Zhang:
Towards Extreme Pruning of LLMs with Plug-and-Play Mixed Sparsity. CoRR abs/2503.11164 (2025) - [i318]Lukas Schulthess, Philipp Mayer, Christian Vogt, Luca Benini, Michele Magno:
BodySense: An Expandable and Wearable-Sized Wireless Evaluation Platform for Human Body Communication. CoRR abs/2503.13462 (2025) - [i317]Javier J. Poveda Rodrigo, Mohamed Amine Ahmdi, Alessio Burrello, Daniele Jahier Pagliari, Luca Benini:
V-Seek: Accelerating LLM Reasoning on Open-hardware Server-class RISC-V Platforms. CoRR abs/2503.17422 (2025) - [i316]Lars Kröger, Cristian Cioflan, Victor Javier Kartsch, Luca Benini:
On-Device Federated Continual Learning on RISC-V-based Ultra-Low-Power SoC for Intelligent Nano-Drone Swarms. CoRR abs/2503.17436 (2025) - [i315]Yawei Li, Bin Ren, Jingyun Liang, Rakesh Ranjan, Mengyuan Liu, Nicu Sebe, Ming-Hsuan Yang, Luca Benini:
Fractal-IR: A Unified Framework for Efficient and Scalable Image Restoration. CoRR abs/2503.17825 (2025) - [i314]Emanuele Venieri, Simone Manoni, Giacomo Madella, Federico Ficarelli, Daniele Gregori, Daniele Cesarini, Luca Benini, Andrea Bartolini:
Monte Cimone v2: Down the Road of RISC-V High-Performance Computers. CoRR abs/2503.18543 (2025) - [i313]Yuli Zhou, Guolei Sun, Yawei Li, Yuqian Fu, Luca Benini, Ender Konukoglu:
CamSAM2: Segment Anything Accurately in Camouflaged Videos. CoRR abs/2503.19730 (2025) - [i312]Luca Colagrande, Luca Benini:
Dual-Issue Execution of Mixed Integer and Floating-Point Workloads on Energy-Efficient In-Order RISC-V Cores. CoRR abs/2503.20590 (2025) - [i311]Luca Colagrande, Jayanth Jonnalagadda, Luca Benini:
Late Breaking Results: A RISC-V ISA Extension for Chaining in Scalar Processors. CoRR abs/2503.20609 (2025) - [i310]Yujie Chen, Haotong Qin, Zhang Zhang, Michelo Magno, Luca Benini, Yawei Li:
Q-MambaIR: Accurate Quantized Mamba for Efficient Image Restoration. CoRR abs/2503.21970 (2025) - [i309]Hang Guo, Yawei Li, Taolin Zhang, Jiangshan Wang, Tao Dai, Shu-Tao Xia, Luca Benini:
FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning. CoRR abs/2503.23367 (2025) - [i308]Sergio Mazzola, Yichao Zhang, Marco Bertuletti, Diyou Shen, Luca Benini:
MemPool Flavors: Between Versatility and Specialization in a RISC-V Manycore Cluster. CoRR abs/2504.03675 (2025) - [i307]Victor J. B. Jung, Alessio Burrello, Francesco Conti, Luca Benini:
Fused-Tiled Layers: Minimizing Data Movement on RISC-V SoCs with Software-Managed Caches. CoRR abs/2504.03676 (2025) - [i306]Cyril Koenig, Enrico Zelioli, Frank K. Gürkaynak, Luca Benini:
Work-In-Progress: Accelerating Numpy With OpenBLAS For Open-Source RISC-V Chips. CoRR abs/2504.03677 (2025) - [i305]Christopher Reinwardt, Robert Balas, Alessandro Ottaviano, Angelo Garofalo, Luca Benini:
CVA6-VMRT: A Modular Approach Towards Time-Predictable Virtual Memory in a 64-bit Application Class RISC-V Processor. CoRR abs/2504.05718 (2025) - 2024
- [j411]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: 16009-16021 (2024) - [j410]Julian Moosmann, Hanna Müller, Nicky Zimmerman, Georg Rutishauser, Luca Benini, Michele Magno:
Flexible and Fully Quantized Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems. IEEE Access 12: 75093-75107 (2024) - [j409]Mohsen Seyedkazemi Ardebili, Andrea Acquaviva, Luca Benini, Andrea Bartolini:
HazardNet: A thermal hazard prediction framework for datacenters. Future Gener. Comput. Syst. 155: 340-353 (2024) - [j408]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. Int. J. Parallel Program. 52(1-2): 93-123 (2024) - [j407]Philipp Mayer, Michele Magno, Luca Benini:
Self-Sustaining Ultrawideband Positioning System for Event-Driven Indoor Localization. IEEE Internet Things J. 11(1): 1272-1284 (2024) - [j406]Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini:
NanoSLAM: Enabling Fully Onboard SLAM for Tiny Robots. IEEE Internet Things J. 11(8): 13584-13607 (2024) - [j405]Konstantin Kalenberg, Hanna Müller, Tommaso Polonelli, Alberto Schiaffino, Vlad Niculescu, Cristian Cioflan, Michele Magno, Luca Benini:
Stargate: Multimodal Sensor Fusion for Autonomous Navigation on Miniaturized UAVs. IEEE Internet Things J. 11(12): 21372-21390 (2024) - [j404]Carl Friess, Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini:
Fully Onboard SLAM for Distributed Mapping With a Swarm of Nano-Drones. IEEE Internet Things J. 11(20): 32363-32380 (2024) - [j403]Lorenzo Lamberti, Lorenzo Bellone, Luka Macan, Enrico Natalizio, Francesco Conti, Daniele Palossi, Luca Benini:
Distilling Tiny and Ultrafast Deep Neural Networks for Autonomous Navigation on Nano-UAVs. IEEE Internet Things J. 11(20): 33269-33281 (2024) - [j402]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) - [j401]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) - [j400]Paola Busia, Andrea Cossettini, Thorir Mar Ingolfsson, Simone Benatti, Alessio Burrello, Victor J. B. Jung, Moritz Scherer, Matteo Antonio Scrugli, Adriano Bernini, Pauline Ducouret, Philippe Ryvlin, Paolo Meloni, Luca Benini:
Reducing False Alarms in Wearable Seizure Detection With EEGformer: A Compact Transformer Model for MCUs. IEEE Trans. Biomed. Circuits Syst. 18(3): 608-621 (2024) - [j399]Thorir Mar Ingolfsson, Xiaying Wang, Upasana Chakraborty, Simone Benatti, Adriano Bernini, Pauline Ducouret, Philippe Ryvlin, Sándor Beniczky, Luca Benini, Andrea Cossettini:
BrainFuseNet: Enhancing Wearable Seizure Detection Through EEG-PPG-Accelerometer Sensor Fusion and Efficient Edge Deployment. IEEE Trans. Biomed. Circuits Syst. 18(4): 720-733 (2024) - [j398]Mattia Orlandi, Pierangelo Maria Rapa, Marcello Zanghieri, Sebastian Frey, Victor Javier Kartsch, Luca Benini, Simone Benatti:
Real-Time Motor Unit Tracking From sEMG Signals With Adaptive ICA on a Parallel Ultra-Low Power Processor. IEEE Trans. Biomed. Circuits Syst. 18(4): 771-782 (2024) - [j397]Marcello Zanghieri, Pierangelo Maria Rapa, Mattia Orlandi, Elisa Donati, Luca Benini, Simone Benatti:
sEMG-Driven Hand Dynamics Estimation With Incremental Online Learning on a Parallel Ultra-Low-Power Microcontroller. IEEE Trans. Biomed. Circuits Syst. 18(4): 810-820 (2024) - [j396]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. IEEE Trans. Computers 73(1): 263-277 (2024) - [j395]Matteo Perotti, Matheus A. Cavalcante, Renzo Andri, Lukas Cavigelli, Luca Benini:
Ara2: Exploring Single- and Multi-Core Vector Processing With an Efficient RVV 1.0 Compliant Open-Source Processor. IEEE Trans. Computers 73(7): 1822-1836 (2024) - [j394]Luca Valente, Francesco Restuccia, Davide Rossi, Ryan Kastner, Luca Benini:
TOP: Towards Open & Predictable Heterogeneous SoCs. IEEE Trans. Computers 73(12): 2678-2692 (2024) - [j393]Nesara Eranna Bethur, 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 Methodology for Physical Hierarchy Exploration of 3-D ICs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(7): 1957-1970 (2024) - [j392]Moritz Scherer, Luka Macan, Victor J. B. Jung, Philip Wiese, Luca Bompani, Alessio Burrello, Francesco Conti, Luca Benini:
Deeploy: Enabling Energy-Efficient Deployment of Small Language Models on Heterogeneous Microcontrollers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(11): 4009-4020 (2024) - [j391]Luca Valente, Alessandro Nadalini, Asif Hussain Chiralil Veeran, Mattia Sinigaglia, Bruno Sá, Nils Wistoff, Yvan Tortorella, Simone Benatti, Rafail Psiakis, Ari Kulmala, Baker Mohammad, Sandro Pinto, Daniele Palossi, Luca Benini, Davide Rossi:
A Heterogeneous RISC-V Based SoC for Secure Nano-UAV Navigation. IEEE Trans. Circuits Syst. I Regul. Pap. 71(5): 2266-2279 (2024) - [j390]Alessio Burrello, Matteo Risso, Beatrice Alessandra Motetti, Enrico Macii, Luca Benini, Daniele Jahier Pagliari:
Enhancing Neural Architecture Search With Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices. IEEE Trans. Emerg. Top. Comput. 12(3): 780-794 (2024) - [j389]Luca Bertaccini, Gianna Paulin, Matheus A. Cavalcante, Tim Fischer, Stefan Mach, Luca Benini:
MiniFloats on RISC-V Cores: ISA Extensions With Mixed-Precision Short Dot Products. IEEE Trans. Emerg. Top. Comput. 12(4): 1040-1055 (2024) - [j388]Sergei Vostrikov, Thorir Mar Ingolfsson, Soley Hafthorsdottir, Christoph Leitner, Michele Magno, Luca Benini, Andrea Cossettini:
A Muscle Pennation Angle Estimation Framework From Raw Ultrasound Data for Wearable Biomedical Instrumentation. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j387]Robert Balas, Alessandro Ottaviano, Luca Benini:
CV32RT: Enabling Fast Interrupt and Context Switching for RISC-V Microcontrollers. IEEE Trans. Very Large Scale Integr. Syst. 32(6): 1032-1044 (2024) - [j386]Sergio Mazzola, Samuel Riedel, Luca Benini:
Enabling Efficient Hybrid Systolic Computation in Shared-L1-Memory Manycore Clusters. IEEE Trans. Very Large Scale Integr. Syst. 32(9): 1602-1615 (2024) - [c908]Cristian Cioflan, Lukas Cavigelli, Manuele Rusci, Miguel de Prado, Luca Benini:
On-Device Domain Learning for Keyword Spotting on Low-Power Extreme Edge Embedded Systems. AICAS 2024: 6-10 - [c907]Pierangelo Maria Rapa, Mattia Orlandi, Andrea Amidei, Alessio Burrello, Roberto Rabbeni, Paolo Pavan, Luca Benini, Simone Benatti:
Driving Towards Safety: Online PPG-based Drowsiness Detection with TCNs. AICAS 2024: 124-128 - [c906]Matteo Perotti, Michele Raeber, Mattia Sinigaglia, Matheus A. Cavalcante, Davide Rossi, Luca Benini:
Spatzformer: An Efficient Reconfigurable Dual-Core RISC-V V Cluster for Mixed Scalar-Vector Workloads. ASAP 2024: 172-173 - [c905]Alessio Burrello, Francesco Carlucci, Giovanni Pollo, Xiaying Wang, Massimo Poncino, Enrico Macii, Luca Benini, Daniele Jahier Pagliari:
Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables. BioCAS 2024: 1-5 - [c904]Sebastian Frey, Pierangelo Maria Rapa, Andrea Amidei, Simone Benatti, Marco Guermandi, Victor Javier Kartsch, Andrea Cossettini, Luca Benini:
Wearable, Real-time Drowsiness Detection based on EEG-PPG Sensor Fusion at the Edge. BioCAS 2024: 1-5 - [c903]Thorir Mar Ingolfsson, Victor Javier Kartsch Morinigo, Andrea Cossettini, Xiaying Wang, Luca Benini:
VowelNet: Enhancing Communication with Wearable EEG-Based Vowel Imagery. BioCAS 2024: 1-5 - [c902]Lan Mei, Cristian Cioflan, Thorir Mar Ingolfsson, Victor Javier Kartsch, Andrea Cossettini, Xiaying Wang, Luca Benini:
Train-On-Request: An On-Device Continual Learning Workflow for Adaptive Real-World Brain Machine Interfaces. BioCAS 2024: 1-5 - [c901]Pierangelo Maria Rapa, Mattia Orlandi, Marcello Zanghieri, Luca Benini, Simone Benatti:
Embedded Multi-Sensor Smartwatch for Computationally Intensive Biosignal Processing. BioCAS 2024: 1-5 - [c900]Marcello Zanghieri, Pierangelo Maria Rapa, Mattia Orlandi, Étienne Buteau, Félix Chamberland, Benoit Gosselin, Luca Benini, Simone Benatti:
Wearable High-Density sEMG Processing with Class Activation Maps with an Embedded Temporal Convolutional Network. BioCAS 2024: 1-5 - [c899]Chaoqun Liang, Alessandro Ottaviano, Thomas Benz, Mattia Sinigaglia, Luca Benini, Angelo Garofalo, Davide Rossi:
A Gigabit, DMA-enhanced Open-Source Ethernet Controller for Mixed-Criticality Systems. CF (Companion) 2024 - [c898]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 - [c897]Francesco Paissan, Davide Nadalini, Manuele Rusci, Alberto Ancilotto, Francesco Conti, Luca Benini, Elisabetta Farella:
Structured Sparse Back-propagation for Lightweight On-Device Continual Learning on Microcontroller Units. CVPR Workshops 2024: 2172-2181 - [c896]Luca Bompani, Manuele Rusci, Daniele Palossi, Francesco Conti, Luca Benini:
Multi-resolution Rescored ByteTrack for Video Object Detection on Ultra-low-power Embedded Systems. CVPR Workshops 2024: 2182-2190 - [c895]Paul Scheffler, Luca Colagrande, Luca Benini:
SARIS: Accelerating Stencil Computations on Energy-Efficient RISC-V Compute Clusters with Indirect Stream Registers. DAC 2024: 251:1-251:6 - [c894]Thomas Benz, Alessandro Ottaviano, Robert Balas, Angelo Garofalo, Francesco Restuccia, Alessandro Biondi, Luca Benini:
AXI-REALM: A Lightweight and Modular Interconnect Extension for Traffic Regulation and Monitoring of Heterogeneous Real-Time SoCs. DATE 2024: 1-6 - [c893]Luca Colagrande, Luca Benini:
Optimizing Offload Performance in Heterogeneous MPSoCs. DATE 2024: 1-2 - [c892]Alessandro Ottaviano, Robert Balas, Philippe Sauter, Manuel Eggimann, Luca Benini:
PELS: A Lightweight and Flexible Peripheral Event Linking System for Ultra-Low Power IoT Processors. DATE 2024: 1-6 - [c891]Matteo Perotti, Yichao Zhang, Matheus A. Cavalcante, Enis Mustafa, Luca Benini:
MX: Enhancing RISC-V's Vector ISA for Ultra-Low Overhead, Energy-Efficient Matrix Multiplication. DATE 2024: 1-6 - [c890]Samuel Riedel, Marc Gantenbein, Alessandro Ottaviano, Torsten Hoefler, Luca Benini:
LRSCwait: Enabling Scalable and Efficient Synchronization in Manycore Systems Through Polling-Free and Retry-Free Operation. DATE 2024: 1-6 - [c889]Samuele Ruffino, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi:
Zero-Shot Classification Using Hyperdimensional Computing. DATE 2024: 1-2 - [c888]Moritz Scherer, Cristian Cioflan, Michele Magno, Luca Benini:
Work in Progress: Linear Transformers for TinyML. DATE 2024: 1-2 - [c887]Yoga Esa Wibowo, Cristian Cioflan, Thorir Mar Ingolfsson, Michael Hersche, Leo Zhao, Abbas Rahimi, Luca Benini:
12 mJ Per Class On-Device Online Few-Shot Class-Incremental Learning. DATE 2024: 1-6 - [c886]Chi Zhang, Paul Scheffler, Thomas Benz, Matteo Perotti, Luca Benini:
Near-Memory Parallel Indexing and Coalescing: Enabling Highly Efficient Indirect Access for SpMV. DATE 2024: 1-6 - [c885]Farah Baracat, Marcello Zanghieri, Luca Benini, Dario Farina, Giacomo Indiveri, Simone Benatti, Elisa Donati:
Leveraging Motor Unit Spatial Activation Patterns for Channel Selection in Finger Force Regression. EMBC 2024: 1-4 - [c884]Luca Benfenati, Thorir Mar Ingolfsson, Andrea Cossettini, Daniele Jahier Pagliari, Alessio Burrello, Luca Benini:
BISeizuRe: BERT-Inspired Seizure Data Representation to Improve Epilepsy Monitoring. EMBC 2024: 1-4 - [c883]Lorenzo Lamberti, Georg Rutishauser, Francesco Conti, Luca Benini:
Combining Local and Global Perception for Autonomous Navigation on Nano-UAVs. ERF (1) 2024: 286-291 - [c882]Hanna Müller, Victor Javier Kartsch, Luca Benini:
GAP9Shield: A 150GOPS AI-Capable Ultra-low Power Module for Vision and Ranging Applications on Nano-drones. ERF (1) 2024: 292-297 - [c881]Yichao Zhang, Marco Bertuletti, Samuel Riedel, Matheus A. Cavalcante, Alessandro Vanelli-Coralli, Luca Benini:
TeraPool-SDR: An 1.89TOPS 1024 RV-Cores 4MiB Shared-L1 Cluster for Next-Generation Open-Source Software-Defined Radios. ACM Great Lakes Symposium on VLSI 2024: 86-91 - [c880]Luca Bertaccini, Siyuan Shen, Torsten Hoefler, Luca Benini:
Extending RISC-V for Efficient Overflow Recovery in Mixed-Precision Computations. ICCD 2024: 268-275 - [c879]Cyril Koenig, Björn Forsberg, Luca Benini:
HeroSDK: Streamlining Heterogeneous RISC-V Accelerated Computing from Embedded to High-Performance Systems. ICCD 2024: 280-287 - [c878]Enrico Zelioli, Alessandro Ottaviano, Robert Balas, Nils Wistoff, Angelo Garofalo, Luca Benini:
vCLIC: Towards Fast Interrupt Handling in Virtualized RISC-V Mixed-Criticality Systems. ICCD 2024: 288-291 - [c877]Nicky Zimmerman, Hanna Müller, Michele Magno, Luca Benini:
Fully Onboard Low-Power Localization with Semantic Sensor Fusion on a Nano-UAV using Floor Plans. ICRA 2024: 11913-11919 - [c876]Sudipta Das, Samuel Riedel, Marco Bertuletti, Luca Benini, Moritz Brunion, Julien Ryckaert, James Myers, Dwaipayan Biswas, Dragomir Milojevic:
3D Partitioning with Pipeline Optimization for Low-Latency Memory Access in Many-Core SoCs. ISCAS 2024: 1-5 - [c875]Elena Ferro, Athanasios Vasilopoulos, Corey Lammie, Manuel Le Gallo, Luca Benini, Irem Boybat, Abu Sebastian:
A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing. ISCAS 2024: 1-5 - [c874]Alberto Dequino, Alessio Carpegna, Davide Nadalini, Alessandro Savino, Luca Benini, Stefano Di Carlo, Francesco Conti:
Compressed Latent Replays for Lightweight Continual Learning on Spiking Neural Networks. ISVLSI 2024: 240-245 - [c873]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. USENIX ATC 2024: 247-263 - [c872]Gianna Paulin, Paul Scheffler, Thomas Benz, Matheus A. Cavalcante, Tim Fischer, Manuel Eggimann, Yichao Zhang, Nils Wistoff, Luca Bertaccini, Luca Colagrande, Gianmarco Ottavi, Frank K. Gürkaynak, Davide Rossi, Luca Benini:
Occamy: A 432-Core 28.1 DP-GFLOP/s/W 83% FPU Utilization Dual-Chiplet, Dual-HBM2E RISC-V-Based Accelerator for Stencil and Sparse Linear Algebra Computations with 8-to-64-bit Floating-Point Support in 12nm FinFET. VLSI Technology and Circuits 2024: 1-2 - [c871]Bruno Guindani, Martin Molan, Andrea Bartolini, Luca Benini:
Exploring the Utility of Graph Methods in HPC Thermal Modeling. ICPE (Companion) 2024: 106-111 - [d18]Konstantin Kalenberg, Hanna Müller, Tommaso Polonelli, Alberto Schiaffino, Vlad Niculescu, Cristian Cioflan, Michele Magno, Luca Benini:
Stargate: Multimodal Sensor Fusion for Autonomous Navigation on Miniaturized UAVs. Zenodo, 2024
- [i304]Sergio Mazzola, Gabriele Ara, Thomas Benz, Björn Forsberg, Tommaso Cucinotta, Luca Benini:
Data-Driven Power Modeling and Monitoring via Hardware Performance Counters Tracking. CoRR abs/2401.01826 (2024) - [i303]Luca Valente, Alessandro Nadalini, Asif Veeran, Mattia Sinigaglia, Bruno Sá, Nils Wistoff, Yvan Tortorella, Simone Benatti, Rafail Psiakis, Ari Kulmala, Baker Mohammad, Sandro Pinto, Daniele Palossi, Luca Benini, Davide Rossi:
A Heterogeneous RISC-V based SoC for Secure Nano-UAV Navigation. CoRR abs/2401.03531 (2024) - [i302]Matteo Perotti, Yichao Zhang, Matheus A. Cavalcante, Enis Mustafa, Luca Benini:
MX: Enhancing RISC-V's Vector ISA for Ultra-Low Overhead, Energy-Efficient Matrix Multiplication. CoRR abs/2401.04012 (2024) - [i301]Samuel Riedel, Marc Gantenbein, Alessandro Ottaviano, Torsten Hoefler, Luca Benini:
LRSCwait: Enabling Scalable and Efficient Synchronization in Manycore Systems through Polling-Free and Retry-Free Operation. CoRR abs/2401.09359 (2024) - [i300]Luca Valente, Francesco Restuccia, Davide Rossi, Ryan Kastner, Luca Benini:
TOP: Towards Open & Predictable Heterogeneous SoCs. CoRR abs/2401.15639 (2024) - [i299]Samuele Ruffino, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi:
Zero-shot Classification using Hyperdimensional Computing. CoRR abs/2401.16876 (2024) - [i298]Elena Ferro, Athanasios Vasilopoulos, Corey Lammie, Manuel Le Gallo, Luca Benini, Irem Boybat, Abu Sebastian:
A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing. CoRR abs/2402.07549 (2024) - [i297]Paola Busia, Matteo Antonio Scrugli, Victor Jean-Baptiste Jung, Luca Benini, Paolo Meloni:
A Noisy Beat is Worth 16 Words: a Tiny Transformer for Low-Power Arrhythmia Classification on Microcontrollers. CoRR abs/2402.10748 (2024) - [i296]Sergio Mazzola, Samuel Riedel, Luca Benini:
Enabling Efficient Hybrid Systolic Computation in Shared L1-Memory Manycore Clusters. CoRR abs/2402.12986 (2024) - [i295]Jonathan Dan, Una Pale, Alireza Amirshahi, William Cappelletti, Thorir Mar Ingolfsson, Xiaying Wang, Andrea Cossettini, Adriano Bernini, Luca Benini, Sándor Beniczky, David Atienza, Philippe Ryvlin:
SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms. CoRR abs/2402.13005 (2024) - [i294]Cristian Cioflan, Lukas Cavigelli, Luca Benini:
Boosting keyword spotting through on-device learnable user speech characteristics. CoRR abs/2403.07802 (2024) - [i293]Yoga Esa Wibowo, Cristian Cioflan, Thorir Mar Ingolfsson, Michael Hersche, Leo Zhao, Abbas Rahimi, Luca Benini:
12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning. CoRR abs/2403.07851 (2024) - [i292]Cristian Cioflan, Lukas Cavigelli, Manuele Rusci, Miguel de Prado, Luca Benini:
On-Device Domain Learning for Keyword Spotting on Low-Power Extreme Edge Embedded Systems. CoRR abs/2403.10549 (2024) - [i291]Lorenzo Lamberti, Georg Rutishauser, Francesco Conti, Luca Benini:
Combining Local and Global Perception for Autonomous Navigation on Nano-UAVs. CoRR abs/2403.11661 (2024) - [i290]Hanna Müller, Victor Javier Kartsch, Michele Magno, Luca Benini:
BatDeck: Advancing Nano-drone Navigation with Low-power Ultrasound-based Obstacle Avoidance. CoRR abs/2403.16696 (2024) - [i289]Luca Colagrande, Luca Benini:
Optimizing Offload Performance in Heterogeneous MPSoCs. CoRR abs/2404.01908 (2024) - [i288]Luca Benfenati, Daniele Jahier Pagliari, Luca Zanatta, Yhorman Alexander Bedoya Velez, Andrea Acquaviva, Massimo Poncino, Enrico Macii, Luca Benini, Alessio Burrello:
Foundation Models for Structural Health Monitoring. CoRR abs/2404.02944 (2024) - [i287]Victor J. B. Jung, Alessio Burrello, Moritz Scherer, Francesco Conti, Luca Benini:
Optimizing the Deployment of Tiny Transformers on Low-Power MCUs. CoRR abs/2404.02945 (2024) - [i286]Paul Scheffler, Luca Colagrande, Luca Benini:
SARIS: Accelerating Stencil Computations on Energy-Efficient RISC-V Compute Clusters with Indirect Stream Registers. CoRR abs/2404.05303 (2024) - [i285]Luca Bompani, Manuele Rusci, Daniele Palossi, Francesco Conti, Luca Benini:
Multi-resolution Rescored ByteTrack for Video Object Detection on Ultra-low-power Embedded Systems. CoRR abs/2404.11488 (2024) - [i284]Philippe Sauter, Thomas Benz, Paul Scheffler, Zerun Jiang, Beat Muheim, Frank K. Gürkaynak, Luca Benini:
Basilisk: Achieving Competitive Performance with Open EDA Tools on an Open-Source Linux-Capable RISC-V SoC. CoRR abs/2405.03523 (2024) - [i283]Philippe Sauter, Thomas Benz, Paul Scheffler, Frank K. Gürkaynak, Luca Benini:
Insights from Basilisk: Are Open-Source EDA Tools Ready for a Multi-Million-Gate, Linux-Booting RV64 SoC Design? CoRR abs/2405.04257 (2024) - [i282]Yichao Zhang, Marco Bertuletti, Samuel Riedel, Matheus A. Cavalcante, Alessandro Vanelli-Coralli, Luca Benini:
TeraPool-SDR: An 1.89TOPS 1024 RV-Cores 4MiB Shared-L1 Cluster for Next-Generation Open-Source Software-Defined Radios. CoRR abs/2405.04988 (2024) - [i281]Wei Huang, Haotong Qin, Yangdong Liu, Yawei Li, Xianglong Liu, Luca Benini, Michele Magno, Xiaojuan Qi:
SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models. CoRR abs/2405.14917 (2024) - [i280]Lukas Schulthess, Philipp Mayer, Luca Benini, Michele Magno:
A Passive and Asynchronous Wake-up Receiver for Acoustic Underwater Communication. CoRR abs/2405.18000 (2024) - [i279]Giovanni Bambini, Alessandro Ottaviano, Christian Conficoni, Andrea Tilli, Luca Benini, Andrea Bartolini:
Modeling and Controlling Many-Core HPC Processors: an Alternative to PID and Moving Average Algorithms. CoRR abs/2405.18030 (2024) - [i278]Georg Rutishauser, Joan Mihali, Moritz Scherer, Luca Benini:
xTern: Energy-Efficient Ternary Neural Network Inference on RISC-V-Based Edge Systems. CoRR abs/2405.19065 (2024) - [i277]Viviane Potocnik, Luca Colagrande, Tim Fischer, Luca Bertaccini, Daniele Jahier Pagliari, Alessio Burrello, Luca Benini:
Optimizing Foundation Model Inference on a Many-tiny-core Open-source RISC-V Platform. CoRR abs/2405.19284 (2024) - [i276]Chaoqun Liang, Alessandro Ottaviano, Thomas Benz, Mattia Sinigaglia, Luca Benini, Angelo Garofalo, Davide Rossi:
A Gigabit, DMA-enhanced Open-Source Ethernet Controller for Mixed-Criticality Systems. CoRR abs/2406.06394 (2024) - [i275]Michael Rogenmoser, Alessandro Ottaviano, Thomas Benz, Robert Balas, Matteo Perotti, Angelo Garofalo, Luca Benini:
SentryCore: A RISC-V Co-Processor System for Safe, Real-Time Control Applications. CoRR abs/2406.06546 (2024) - [i274]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. CoRR abs/2406.07453 (2024) - [i273]Sebastian Frey, Mattia Alberto Lucchini, Victor Javier Kartsch, Thorir Mar Ingolfsson, Andrea Helga Bernardi, Michael Segessenmann, Jakub Osieleniec, Simone Benatti, Luca Benini, Andrea Cossettini:
GAPses: Versatile smart glasses for comfortable and fully-dry acquisition and parallel ultra-low-power processing of EEG and EOG. CoRR abs/2406.07903 (2024) - [i272]Jonas Kühne, Michele Magno, Luca Benini:
Low Latency Visual Inertial Odometry with On-Sensor Accelerated Optical Flow for Resource-Constrained UAVs. CoRR abs/2406.13345 (2024) - [i271]Gianna Paulin, Paul Scheffler, Thomas Benz, Matheus A. Cavalcante, Tim Fischer, Manuel Eggimann, Yichao Zhang, Nils Wistoff, Luca Bertaccini, Luca Colagrande, Gianmarco Ottavi, Frank K. Gürkaynak, Davide Rossi, Luca Benini:
Occamy: A 432-Core 28.1 DP-GFLOP/s/W 83% FPU Utilization Dual-Chiplet, Dual-HBM2E RISC-V-based Accelerator for Stencil and Sparse Linear Algebra Computations with 8-to-64-bit Floating-Point Support in 12nm FinFET. CoRR abs/2406.15068 (2024) - [i270]Paul Scheffler, Philippe Sauter, Thomas Benz, Frank K. Gürkaynak, Luca Benini:
Basilisk: An End-to-End Open-Source Linux-Capable RISC-V SoC in 130nm CMOS. CoRR abs/2406.15107 (2024) - [i269]Luca Benfenati, Thorir Mar Ingolfsson, Andrea Cossettini, Daniele Jahier Pagliari, Alessio Burrello, Luca Benini:
BISeizuRe: BERT-Inspired Seizure Data Representation to Improve Epilepsy Monitoring. CoRR abs/2406.19189 (2024) - [i268]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. CoRR abs/2407.02405 (2024) - [i267]Alberto Dequino, Alessio Carpegna, Davide Nadalini, Alessandro Savino, Luca Benini, Stefano Di Carlo, Francesco Conti:
Compressed Latent Replays for Lightweight Continual Learning on Spiking Neural Networks. CoRR abs/2407.03111 (2024) - [i266]Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini:
Ultra-Lightweight Collaborative Mapping for Robot Swarms. CoRR abs/2407.03136 (2024) - [i265]Matteo Perotti, Michele Raeber, Mattia Sinigaglia, Matheus A. Cavalcante, Davide Rossi, Luca Benini:
Spatzformer: An Efficient Reconfigurable Dual-Core RISC-V V Cluster for Mixed Scalar-Vector Workloads. CoRR abs/2407.05447 (2024) - [i264]Michael Rogenmoser, Philip Wiese, Bruno E. Forlin, Frank K. Gürkaynak, Paolo Rech, Alessandra Menicucci, Marco Ottavi, Luca Benini:
Design and Experimental Investigation of Trikarenos: A Fault-Tolerant 28nm RISC-V-based SoC. CoRR abs/2407.05938 (2024) - [i263]Lorenzo Lamberti, Lorenzo Bellone, Luka Macan, Enrico Natalizio, Francesco Conti, Daniele Palossi, Luca Benini:
Distilling Tiny and Ultra-fast Deep Neural Networks for Autonomous Navigation on Nano-UAVs. CoRR abs/2407.12675 (2024) - [i262]Hanna Müller, Victor Javier Kartsch, Luca Benini:
GAP9Shield: A 150GOPS AI-capable Ultra-low Power Module for Vision and Ranging Applications on Nano-drones. CoRR abs/2407.13706 (2024) - [i261]Riccardo Tedeschi, Luca Valente, Gianmarco Ottavi, Enrico Zelioli, Nils Wistoff, Massimiliano Giacometti, Abdul Basit Sajjad, Luca Benini, Davide Rossi:
Culsans: An Efficient Snoop-based Coherency Unit for the CVA6 Open Source RISC-V application processor. CoRR abs/2407.19895 (2024) - [i260]Tommaso Polonelli, Lukas Schulthess, Philipp Mayer, Michele Magno, Luca Benini:
H-Watch: An Open, Connected Platform for AI-Enhanced COVID19 Infection Symptoms Monitoring and Contact Tracing. CoRR abs/2407.21501 (2024) - [i259]Philip Wiese, Gamze Islamoglu, Moritz Scherer, Luka Macan, Victor J. B. Jung, Alessio Burrello, Francesco Conti, Luca Benini:
Toward Attention-based TinyML: A Heterogeneous Accelerated Architecture and Automated Deployment Flow. CoRR abs/2408.02473 (2024) - [i258]Moritz Scherer, Luka Macan, Victor J. B. Jung, Philip Wiese, Luca Bompani, Alessio Burrello, Francesco Conti, Luca Benini:
Deeploy: Enabling Energy-Efficient Deployment of Small Language Models On Heterogeneous Microcontrollers. CoRR abs/2408.04413 (2024) - [i257]Yichao Zhang, Marco Bertuletti, Chi Zhang, Samuel Riedel, Alessandro Vanelli-Coralli, Luca Benini:
A 1024 RV-Cores Shared-L1 Cluster with High Bandwidth Memory Link for Low-Latency 6G-SDR. CoRR abs/2408.08882 (2024) - [i256]Alessio Burrello, Francesco Carlucci, Giovanni Pollo, Xiaying Wang, Massimo Poncino, Enrico Macii, Luca Benini, Daniele Jahier Pagliari:
Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables. CoRR abs/2409.07485 (2024) - [i255]Nils Wistoff, Gernot Heiser, Luca Benini:
fence.t.s: Closing Timing Channels in High-Performance Out-of-Order Cores through ISA-Supported Temporal Partitioning. CoRR abs/2409.07576 (2024) - [i254]Lan Mei, Cristian Cioflan, Thorir Mar Ingolfsson, Victor Javier Kartsch, Andrea Cossettini, Xiaying Wang, Luca Benini:
Train-On-Request: An On-Device Continual Learning Workflow for Adaptive Real-World Brain Machine Interfaces. CoRR abs/2409.09161 (2024) - [i253]Lan Mei, Thorir Mar Ingolfsson, Cristian Cioflan, Victor Javier Kartsch, Andrea Cossettini, Xiaying Wang, Luca Benini:
An Ultra-Low Power Wearable BMI System with Continual Learning Capabilities. CoRR abs/2409.10654 (2024) - [i252]Tim Fischer, Michael Rogenmoser, Thomas Benz, Frank K. Gürkaynak, Luca Benini:
FlooNoC: A 645 Gbps/link 0.15 pJ/B/hop Open-Source NoC with Wide Physical Links and End-to-End AXI4 Parallel Multi-Stream Support. CoRR abs/2409.17606 (2024) - [i251]Yuli Zhou, Guolei Sun, Yawei Li, Luca Benini, Ender Konukoglu:
When SAM2 Meets Video Camouflaged Object Segmentation: A Comprehensive Evaluation and Adaptation. CoRR abs/2409.18653 (2024) - [i250]Enrico Zelioli, Alessandro Ottaviano, Robert Balas, Nils Wistoff, Angelo Garofalo, Luca Benini:
vCLIC: Towards Fast Interrupt Handling in Virtualized RISC-V Mixed-criticality Systems. CoRR abs/2410.07798 (2024) - [i249]Mohamed Amine Hamdi, Francesco Daghero, Giuseppe Maria Sarda, Josse Van Delm, Arne Symons, Luca Benini, Marian Verhelst, Daniele Jahier Pagliari, Alessio Burrello:
MATCH: Model-Aware TVM-based Compilation for Heterogeneous Edge Devices. CoRR abs/2410.08855 (2024) - [i248]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) - [i247]Alessandro Ottaviano, Robert Balas, Tim Fischer, Thomas Benz, Andrea Bartolini, Luca Benini:
ControlPULPlet: A Flexible Real-time Multi-core RISC-V Controller for 2.5D Systems-in-package. CoRR abs/2410.15985 (2024) - [i246]Marc-Andre Wessner, Federico Villani, Sofia Papa, Kirill Keller, Laura Ferrari, Francesco Greco, Luca Benini, Christoph Leitner:
PEtra: A Flexible and Open-Source PE Loop Tracer for Polymer Thin-Film Transducers. CoRR abs/2410.16581 (2024) - [i245]Hang Guo, Yawei Li, Tao Dai, Shu-Tao Xia, Luca Benini:
IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models. CoRR abs/2410.21759 (2024) - [i244]Yawei Li, Bin Ren, Jingyun Liang, Rakesh Ranjan, Mengyuan Liu, Nicu Sebe, Ming-Hsuan Yang, Luca Benini:
Hierarchical Information Flow for Generalized Efficient Image Restoration. CoRR abs/2411.18588 (2024) - [i243]Severin Bochem, Victor J. B. Jung, Arpan Suravi Prasad, Francesco Conti, Luca Benini:
Distributed Inference with Minimal Off-Chip Traffic for Transformers on Low-Power MCUs. CoRR abs/2412.04372 (2024) - [i242]Andrea Belano, Yvan Tortorella, Angelo Garofalo, Luca Benini, Davide Rossi, Francesco Conti:
A Flexible Template for Edge Generative AI with High-Accuracy Accelerated Softmax & GELU. CoRR abs/2412.06321 (2024) - [i241]Hanna Müller, Victor Javier Kartsch, Michele Magno, Luca Benini:
BatDeck - Ultra Low-power Ultrasonic Ego-velocity Estimation and Obstacle Avoidance on Nano-drones. CoRR abs/2412.10048 (2024) - [i240]Luca Benfenati, Sofia Belloni, Alessio Burrello, Panagiotis Kasnesis, Xiaying Wang, Luca Benini, Massimo Poncino, Enrico Macii, Daniele Jahier Pagliari:
EnhancePPG: Improving PPG-based Heart Rate Estimation with Self-Supervision and Augmentation. CoRR abs/2412.17860 (2024) - [i239]Francesco Conti, Angelo Garofalo, Davide Rossi, Giuseppe Tagliavini, Luca Benini:
Open-Source Heterogeneous SoCs for AI: The PULP Platform Experience. CoRR abs/2412.20391 (2024) - 2023
- [j385]Tommaso Polonelli, Amirhossein Moallemi, Weikang Kong, Hanna Müller, Julien Deparday, Michele Magno, Luca Benini:
A Self-Sustainable and Micro-Second Time Synchronized Multi-Node Wireless System for Aerodynamic Monitoring on Wind Turbines. IEEE Access 11: 119506-119522 (2023) - [j384]Tim Fischer, Michael Rogenmoser, Matheus A. Cavalcante, Frank K. Gürkaynak, Luca Benini:
FlooNoC: A Multi-Tb/s Wide NoC for Heterogeneous AXI4 Traffic. IEEE Des. Test 40(6): 7-17 (2023) - [j383]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) - [j382]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: 122-135 (2023) - [j381]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: 212-226 (2023) - [j380]Georg Rutishauser, Moritz Scherer, Tim Fischer, Luca Benini:
7 μJ/inference end-to-end gesture recognition from dynamic vision sensor data using ternarized hybrid convolutional neural networks. Future Gener. Comput. Syst. 149: 717-731 (2023) - [j379]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) - [j378]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) - [j377]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) - [j376]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) - [j375]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) - [j374]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) - [j373]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) - [j372]Samuel Riedel, Matheus A. Cavalcante, Renzo Andri, Luca Benini:
MemPool: A Scalable Manycore Architecture With a Low-Latency Shared L1 Memory. IEEE Trans. Computers 72(12): 3561-3575 (2023) - [j371]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) - [j370]Matteo Perotti, Matheus A. Cavalcante, Alessandro Ottaviano, Jiantao Liu, Luca Benini:
Yun: An Open-Source, 64-Bit RISC-V-Based Vector Processor With Multi-Precision Integer and Floating-Point Support in 65-nm CMOS. IEEE Trans. Circuits Syst. II Express Briefs 70(10): 3732-3736 (2023) - [j369]Alessandro Ottaviano, Thomas Benz, Paul Scheffler, Luca Benini:
Cheshire: A Lightweight, Linux-Capable RISC-V Host Platform for Domain-Specific Accelerator Plug-In. IEEE Trans. Circuits Syst. II Express Briefs 70(10): 3777-3781 (2023) - [j368]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) - [j367]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) - [j366]Paul Scheffler, Florian Zaruba, Fabian Schuiki, Torsten Hoefler, Luca Benini:
Sparse Stream Semantic Registers: A Lightweight ISA Extension Accelerating General Sparse Linear Algebra. IEEE Trans. Parallel Distributed Syst. 34(12): 3147-3161 (2023) - [j365]Hanna Müller, Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini:
Robust and Efficient Depth-Based Obstacle Avoidance for Autonomous Miniaturized UAVs. IEEE Trans. Robotics 39(6): 4935-4951 (2023) - [j364]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) - [j363]Bruno Sá, Luca Valente, José Martins, Davide Rossi, Luca Benini, Sandro Pinto:
CVA6 RISC-V Virtualization: Architecture, Microarchitecture, and Design Space Exploration. IEEE Trans. Very Large Scale Integr. Syst. 31(11): 1713-1726 (2023) - [c870]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 - [c869]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 - [c868]Georg Rutishauser, Francesco Conti, Luca Benini:
Free Bits: Latency Optimization of Mixed-Precision Quantized Neural Networks on the Edge. AICAS 2023: 1-5 - [c867]Marco Giordano, Kirill Keller, Francesco Greco, Luca Benini, Michele Magno, Christoph Leitner:
Towards a Novel Ultrasound System Based on Low-Frequency Feature Extraction From a Fully-Printed Flexible Transducer. BioCAS 2023: 1-5 - [c866]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. BioCAS 2023: 1-5 - [c865]Mattia Orlandi, Pierangelo Maria Rapa, Marcello Zanghieri, Sebastian Frey, Victor Javier Kartsch, Luca Benini, Simone Benatti:
An Adaptive Dynamic Mixing Model for sEMG Real-Time ICA on an Ultra-Low Power Processor. BioCAS 2023: 1-5 - [c864]Lukas Schulthess, Thorir Mar Ingolfsson, Marc Nölke, Michele Magno, Luca Benini, Christoph Leitner:
Skilog: A Smart Sensor System for Performance Analysis and Biofeedback in Ski Jumping. BioCAS 2023: 1-5 - [c863]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. BioCAS 2023: 1-5 - [c862]Marcello Zanghieri, Mattia Orlandi, Elisa Donati, Emanuele Gruppioni, Luca Benini, Simone Benatti:
Online Unsupervised Arm Posture Adaptation for sEMG-based Gesture Recognition on a Parallel Ultra-Low-Power Microcontroller. BioCAS 2023: 1-5 - [c861]Luka Macan, Alessio Burrello, Luca Benini, Francesco Conti:
WIP: Automatic DNN Deployment on Heterogeneous Platforms: the GAP9 Case Study. CASES 2023: 9-10 - [c860]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 - [c859]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 - [c858]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 - [c857]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 - [c856]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 - [c855]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 - [c854]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 - [c853]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 - [c852]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 - [c851]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 - [c850]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 - [c849]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 - [c848]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 - [c847]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 - [c846]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 - [c845]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 - [c844]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 - [c843]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 - [c842]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 - [c841]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. DCOSS-IoT 2023: 654-660 - [c840]Gianmarco Ottavi, Florian Zaruba, Luca Benini, Davide Rossi:
Reducing Load-Use Dependency-Induced Performance Penalty in the Open-Source RISC-V CVA6 CPU. DSD 2023: 429-435 - [c839]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 - [c838]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 - [c837]Luca Valente, Asif Veeran, Mattia Sinigaglia, Yvan Tortorella, Alessandro Nadalini, Nils Wistoff, Bruno Sá, Angelo Garofalo, Rafail Psiakis, M. Tolba, Ari Kulmala, Nimisha Limaye, Ozgur Sinanoglu, Sandro Pinto, Daniele Palossi, Luca Benini, Baker Mohammad, Davide Rossi:
Shaheen: An Open, Secure, and Scalable RV64 SoC for Autonomous Nano-UAVs. HCS 2023: 1-12 - [c836]Mahyar Pourjabar, Manuele Rusci, Luca Bompani, Lorenzo Lamberti, Vlad Niculescu, Daniele Palossi, Luca Benini:
Multi-sensory Anti-collision Design for Autonomous Nano-swarm Exploration. ICECS 2023: 1-5 - [c835]Samuel Riedel, Matheus A. Cavalcante, Manos Frouzakis, Domenic Wüthrich, Enis Mustafa, Arlind Billa, Luca Benini:
MinPool: A 16-core NUMA-L1 Memory RISC-V Processor Cluster for Always-on Image Processing in 65nm CMOS. ICECS 2023: 1-4 - [c834]Michael Rogenmoser, Luca Benini:
Trikarenos: A Fault-Tolerant RISC-V-based Microcontroller for CubeSats in 28nm. ICECS 2023: 1-4 - [c833]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 - [c832]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 - [c831]Julian Moosmann, Jakub Mandula, Philipp Mayer, Luca Benini, Michele Magno:
Quantitative Evaluation of a Multi-Modal Camera Setup for Fusing Event Data with RGB Images. SENSORS 2023: 1-4 - [c830]Dominik Schindler, Vlad Niculescu, Tommaso Polonelli, Daniele Palossi, Luca Benini, Michele Magno:
A Relative Infrastructure-less Localization Algorithm for Decentralized and Autonomous Swarm Formation. IROS 2023: 5288-5295 - [c829]Yawei Li, Kai Zhang, Jiezhang Cao, Radu Timofte, Michele Magno, Luca Benini, Luc Van Gool:
LocalViT: Analyzing Locality in Vision Transformers. IROS 2023: 9598-9605 - [c828]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 - [c827]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 - [c826]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 - [c825]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 - [c824]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 - [c823]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 - [c822]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 - [c821]Luca Benini:
From Nano-Drones to Cars - A RISC-V Open Platform for next-generation Vehicles. IWASI 2023: 8 - [c820]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 - [c819]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 - [c818]Jonas Kühne, Michele Magno, Luca Benini:
A Fast and Accurate Optical Flow Camera for Resource-Constrained Edge Applications. IWASI 2023: 143-148 - [c817]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 - [c816]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 - [c815]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 - [c814]Marcelo Orenes-Vera, Hyunsung Yun, Nils Wistoff, Gernot Heiser, Luca Benini, David Wentzlaff, Margaret Martonosi:
AutoCC: Automatic Discovery of Covert Channels in Time-Shared Hardware. MICRO 2023: 871-885 - [c813]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 - [c812]Nicolas Menet, Michael Hersche, Geethan Karunaratne, Luca Benini, Abu Sebastian, Abbas Rahimi:
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition. NeurIPS 2023 - [c811]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. SAMOS 2023: 241-254 - [c810]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 - [c809]Andrea Mattei, Moritz Scherer, Cristian Cioflan, Michele Magno, Luca Benini:
Securing Tiny Transformer-Based Computer Vision Models: Evaluating Real-World Patch Attacks. WF-IoT 2023: 1-7 - [d17]Mohsen Seyedkazemi Ardebili, Andrea Acquaviva, Luca Benini, Andrea Bartolini:
Dataset of the HazardNet: A Thermal Hazard Prediction Framework for Datacenters. Zenodo, 2023 - [d16]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset: time-aggregated data for anomaly detection. Zenodo, 2023 - [d15]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 1: from 20-03 to 20-12. Zenodo, 2023 - [d14]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 2: from 21-01 to 21-06. Zenodo, 2023 - [d13]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 3: from 21-07 to 21-09. Zenodo, 2023 - [d12]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 4: from 21-10 to 21-12. Zenodo, 2023 - [d11]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 5: from 22-01 to 22-02. Zenodo, 2023 - [d10]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 6: 22-03. Zenodo, 2023 - [d9]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 7: 22-04. Zenodo, 2023 - [d8]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 8: 22-05. Zenodo, 2023 - [d7]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 9: 22-06. Zenodo, 2023 - [d6]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 10: 22-07. Zenodo, 2023 - [d5]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 11: 22-08. Zenodo, 2023 - [d4]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 12: 22-09. Zenodo, 2023 - [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 - [i238]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) - [i237]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) - [i236]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) - [i235]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) - [i234]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) - [i233]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) - [i232]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) - [i231]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) - [i230]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) - [i229]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) - [i228]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) - [i227]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) - [i226]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) - [i225]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) - [i224]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) - [i223]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) - [i222]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) - [i221]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) - [i220]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) - [i219]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) - [i218]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) - [i217]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) - [i216]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) - [i215]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) - [i214]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) - [i213]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) - [i212]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) - [i211]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) - [i210]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) - [i209]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) - [i208]Georg Rutishauser, Francesco Conti, Luca Benini:
Free Bits: Latency Optimization of Mixed-Precision Quantized Neural Networks on the Edge. CoRR abs/2307.02894 (2023) - [i207]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) - [i206]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) - [i205]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) - [i204]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) - [i203]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) - [i202]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) - [i201]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) - [i200]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) - [i199]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) - [i198]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) - [i197]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) - [i196]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) - [i195]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) - [i194]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) - [i193]Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini:
NanoSLAM: Enabling Fully Onboard SLAM for Tiny Robots. CoRR abs/2309.12008 (2023) - [i192]Lukas Schulthess, Thorir Mar Ingolfsson, Marc Nölke, Michele Magno, Luca Benini, Christoph Leitner:
Skilog: A Smart Sensor System for Performance Analysis and Biofeedback in Ski Jumping. CoRR abs/2309.14455 (2023) - [i191]Michael Rogenmoser, Luca Benini:
Trikarenos: A Fault-Tolerant RISC-V-based Microcontroller for CubeSats in 28nm. CoRR abs/2310.02045 (2023) - [i190]Alessio Burrello, Matteo Risso, Beatrice Alessandra Motetti, Enrico Macii, Luca Benini, Daniele Jahier Pagliari:
Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices. CoRR abs/2310.07217 (2023) - [i189]Nicky Zimmerman, Hanna Müller, Michele Magno, Luca Benini:
Fully Onboard Low-Power Localization with Semantic Sensor Fusion on a Nano-UAV using Floor Plans. CoRR abs/2310.12536 (2023) - [i188]Julian Moosmann, Pietro Bonazzi, Yawei Li, Sizhen Bian, Philipp Mayer, Luca Benini, Michele Magno:
Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO. CoRR abs/2311.01057 (2023) - [i187]Patrick Iff, Benigna Bruggmann, Maciej Besta, Luca Benini, Torsten Hoefler:
RapidChiplet: A Toolchain for Rapid Design Space Exploration of Chiplet Architectures. CoRR abs/2311.06081 (2023) - [i186]Matteo Perotti, Matheus A. Cavalcante, Renzo Andri, Lukas Cavigelli, Luca Benini:
Ara2: Exploring Single- and Multi-Core Vector Processing with an Efficient RVV1.0 Compliant Open-Source Processor. CoRR abs/2311.07493 (2023) - [i185]Robert Balas, Alessandro Ottaviano, Luca Benini:
CV32RT: Enabling Fast Interrupt and Context Switching for RISC-V Microcontrollers. CoRR abs/2311.08320 (2023) - [i184]Alessandro Ottaviano, Robert Balas, Philippe Sauter, Manuel Eggimann, Luca Benini:
PELS: A Lightweight and Flexible Peripheral Event Linking System for Ultra-Low Power IoT Processors. CoRR abs/2311.09645 (2023) - [i183]Thomas Benz, Alessandro Ottaviano, Robert Balas, Angelo Garofalo, Francesco Restuccia, Alessandro Biondi, Luca Benini:
AXI-REALM: A Lightweight and Modular Interconnect Extension for Traffic Regulation and Monitoring of Heterogeneous Real-Time SoCs. CoRR abs/2311.09662 (2023) - [i182]Jannis Schönleber, Lukas Cavigelli, Renzo Andri, Matteo Perotti, Luca Benini:
Stella Nera: Achieving 161 TOp/s/W with Multiplier-free DNN Acceleration based on Approximate Matrix Multiplication. CoRR abs/2311.10207 (2023) - [i181]Chi Zhang, Paul Scheffler, Thomas Benz, Matteo Perotti, Luca Benini:
Near-Memory Parallel Indexing and Coalescing: Enabling Highly Efficient Indirect Access for SpMV. CoRR abs/2311.10378 (2023) - [i180]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 abs/2311.17815 (2023) - [i179]Nicolas Menet, Michael Hersche, Geethan Karunaratne, Luca Benini, Abu Sebastian, Abbas Rahimi:
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition. CoRR abs/2312.02829 (2023) - [i178]Aleksandar Terzic, Michael Hersche, Geethan Karunaratne, Luca Benini, Abu Sebastian, Abbas Rahimi:
TCNCA: Temporal Convolution Network with Chunked Attention for Scalable Sequence Processing. CoRR abs/2312.05605 (2023) - [i177]Mahyar Pourjabar, Manuele Rusci, Luca Bompani, Lorenzo Lamberti, Vlad Niculescu, Daniele Palossi, Luca Benini:
Multi-sensory Anti-collision Design for Autonomous Nano-swarm Exploration. CoRR abs/2312.13086 (2023) - [i176]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
- [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) - [c808]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 - [c807]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 - [c806]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 - [c805]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 - [c804]Alessio Burrello, Giacomo Sintoni, Davide Brunelli, Luca Benini:
Adversarially-Trained Tiny Autoencoders for Near-Sensor Continuous Structural Health Monitoring. AICAS 2022: 439-442 - [c803]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 - [c802]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 - [c801]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 - [c800]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 - [c799]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 - [c798]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 - [c797]Giovanni Bambini, Christian Conficoni, Andrea Tilli, Luca Benini, Andrea Bartolini:
Modeling the Thermal and Power Control Subsystem in HPC Processors. CCTA 2022: 397-402 - [c796]Mohsen Seyedkazemi Ardebili, Andrea Bartolini, Luca Benini:
Multi-level anomaly prediction in Tier-0 datacenter: a deep learning approach. CF 2022: 197-198 - [c795]Martin Molan, Andrea Borghesi, Luca Benini, Andrea Bartolini:
Semi-supervised anomaly detection on a Tier-0 HPC system. CF 2022: 203-204 - [c794]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 - [c793]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 - [c792]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 - [c791]Matteo Spallanzani, Gian Paolo Leonardi, Luca Benini:
Training Quantised Neural Networks with STE Variants: the Additive Noise Annealing Algorithm. CVPR 2022: 470-479 - [c790]Michael Hersche, Geethan Karunaratne, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi:
Constrained Few-shot Class-incremental Learning. CVPR 2022: 9047-9057 - [c789]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 - [c788]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 - [c787]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 - [c786]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 - [c785]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 - [c784]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 - [c783]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 - [c782]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 - [c781]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 - [c780]Thorir Mar Ingolfsson, Andrea Cossettini, Simone Benatti, Luca Benini:
Energy-Efficient Tree-Based EEG Artifact Detection. EMBC 2022: 3723-3728 - [c779]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 - [c778]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 - [c777]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 - [c776]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 - [c775]Martin Molan, Andrea Borghesi, Luca Benini, Andrea Bartolini:
Machine Learning Methodologies to Support HPC Systems Operations: Anomaly Detection. Euro-Par Workshops 2022: 294-298 - [c774]Alberto Dequino, Francesco Conti, Luca Benini:
ViT-LR: Pushing the Envelope for Transformer-Based on-Device Embedded Continual Learning. IGSC 2022: 1-6 - [c773]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 - [c772]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 - [c771]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 - [c770]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: 22:1-22:9 - [c769]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 - [c768]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 - [c767]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 - [c766]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 - [c765]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 - [c764]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 - [c763]Luca Benini:
PULP: Extreme Energy Efficiency for Extreme Edge AI Acceleration. MECO 2022: 1 - [c762]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 - [c761]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 - [c760]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 - [c759]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 - [c758]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 - [c757]Andrea Bartolini, Federico Ficarelli, Emanuele Parisi, Francesco Beneventi, Francesco Barchi, Daniele Gregori, Fabrizio Magugliani, Marco Cicala, Cosimo Gianfreda, Daniele Cesarini, Andrea Acquaviva, Luca Benini:
Monte Cimone: Paving the Road for the First Generation of RISC-V High-Performance Computers. SOCC 2022: 1-6 - [c756]Mohsen Seyedkazemi Ardebili, Andrea Bartolini, Andrea Acquaviva, Luca Benini:
Rule-Based Thermal Anomaly Detection for Tier-0 HPC Systems. ISC Workshops 2022: 262-276 - [c755]Benedetta Mazzoni, Giuseppe Tagliavini, Luca Benini, Simone Benatti:
An Optimized Heart Rate Detection System Based on Low-Power Microcontroller Platforms for Biosignal Processing. SYSINT 2022: 160-170 - [c754]Moritz Scherer, Fabian Sidler, Michael Rogenmoser, Michele Magno, Luca Benini:
WideVision: A Low-Power, Multi-Protocol Wireless Vision Platform for Distributed Surveillance. WiMob 2022: 394-399 - [d1]Andreas Kurth, Björn Forsberg, Luca Benini:
HEROv2 Software Development Kit (SDK) Docker Image. IEEE DataPort, 2022 - [i175]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 abs/2201.01089 (2022) - [i174]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. CoRR abs/2201.03386 (2022) - [i173]Andreas Kurth, Björn Forsberg, Luca Benini:
HEROv2: Full-Stack Open-Source Research Platform for Heterogeneous Computing. CoRR abs/2201.03861 (2022) - [i172]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 abs/2201.08166 (2022) - [i171]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) - [i170]Gianna Paulin, Francesco Conti, Lukas Cavigelli, Luca Benini:
Vau da muntanialas: Energy-efficient multi-die scalable acceleration of RNN inference. CoRR abs/2202.07462 (2022) - [i169]Nils Wistoff, Moritz Schneider, Frank K. Gürkaynak, Gernot Heiser, Luca Benini:
Systematic Prevention of On-Core Timing Channels by Full Temporal Partitioning. CoRR abs/2202.12029 (2022) - [i168]Amirhossein Moallemi, Alessio Burrello, Davide Brunelli, Luca Benini:
Exploring Scalable, Distributed Real-Time Anomaly Detection for Bridge Health Monitoring. CoRR abs/2203.02380 (2022) - [i167]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. CoRR abs/2203.04396 (2022) - [i166]Michael Hersche, Mustafa Zeqiri, Luca Benini, Abu Sebastian, Abbas Rahimi:
A Neuro-vector-symbolic Architecture for Solving Raven's Progressive Matrices. CoRR abs/2203.04571 (2022) - [i165]Matteo Spallanzani, Gian Paolo Leonardi, Luca Benini:
Training Quantised Neural Networks with STE Variants: the Additive Noise Annealing Algorithm. CoRR abs/2203.11323 (2022) - [i164]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 abs/2203.12925 (2022) - [i163]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. CoRR abs/2203.12932 (2022) - [i162]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 abs/2203.14768 (2022) - [i161]Alessio Burrello, Daniele Jahier Pagliari, Matteo Risso, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino:
Q-PPG: Energy-Efficient PPG-based Heart Rate Monitoring on Wearable Devices. CoRR abs/2203.14907 (2022) - [i160]Xiaying Wang, Fabian Geiger, Vlad Niculescu, Michele Magno, Luca Benini:
Leveraging Tactile Sensors for Low Latency Embedded Smart Hands for Prosthetic and Robotic Applications. CoRR abs/2203.15069 (2022) - [i159]Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino:
Robust and Energy-efficient PPG-based Heart-Rate Monitoring. CoRR abs/2203.16339 (2022) - [i158]Michael Hersche, Geethan Karunaratne, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi:
Constrained Few-shot Class-incremental Learning. CoRR abs/2203.16588 (2022) - [i157]Francesco Daghero, Alessio Burrello, Daniele Jahier Pagliari, Luca Benini, Enrico Macii, Massimo Poncino:
Energy-Efficient Adaptive Machine Learning on IoT End-Nodes With Class-Dependent Confidence. CoRR abs/2204.03431 (2022) - [i156]Thorir Mar Ingolfsson, Andrea Cossettini, Simone Benatti, Luca Benini:
Energy-Efficient Tree-Based EEG Artifact Detection. CoRR abs/2204.09577 (2022) - [i155]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) - [i154]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 abs/2204.11192 (2022) - [i153]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. CoRR abs/2204.14103 (2022) - [i152]Andrea Bartolini, Federico Ficarelli, Emanuele Parisi, Francesco Beneventi, Francesco Barchi, Daniele Gregori, Fabrizio Magugliani, Marco Cicala, Cosimo Gianfreda, Daniele Cesarini, Andrea Acquaviva, Luca Benini:
Monte Cimone: Paving the Road for the First Generation of RISC-V High-Performance Computers. CoRR abs/2205.03725 (2022) - [i151]Tommaso Polonelli, Hanna Müller, Weikang Kong, Raphael Fischer, Luca Benini, Michele Magno:
Aerosense: A Self-Sustainable And Long-Range Bluetooth Wireless Sensor Node for Aerodynamic and Aeroacoustic Monitoring on Wind Turbines. CoRR abs/2205.11902 (2022) - [i150]Michael Rogenmoser, Nils Wistoff, Pirmin Vogel, Frank K. Gürkaynak, Luca Benini:
On-Demand Redundancy Grouping: Selectable Soft-Error Tolerance for a Multicore Cluster. CoRR abs/2205.12580 (2022) - [i149]Francesco Daghero, Alessio Burrello, Chen Xie, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers. CoRR abs/2205.13838 (2022) - [i148]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. CoRR abs/2206.00302 (2022) - [i147]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 abs/2206.04796 (2022) - [i146]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. CoRR abs/2206.08852 (2022) - [i145]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. CoRR abs/2207.03192 (2022) - [i144]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. CoRR abs/2207.06810 (2022) - [i143]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. CoRR abs/2207.07970 (2022) - [i142]Hanna Müller, Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini:
Robust and Efficient Depth-based Obstacle Avoidance for Autonomous Miniaturized UAVs. CoRR abs/2208.12624 (2022) - [i141]Martin Molan, Andrea Borghesi, Daniele Cesarini, Luca Benini, Andrea Bartolini:
RUAD: unsupervised anomaly detection in HPC systems. CoRR abs/2208.13169 (2022) - [i140]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. CoRR abs/2209.00889 (2022) - [i139]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) - [i138]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) - [i137]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. CoRR abs/2210.08882 (2022) - [i136]Marco Bertuletti, Yichao Zhang, Alessandro Vanelli-Coralli, Luca Benini:
Efficient Parallelization of 5G-PUSCH on a Scalable RISC-V Many-core Processor. CoRR abs/2210.09196 (2022) - [i135]Jovin Langenegger, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi:
In-memory factorization of holographic perceptual representations. CoRR abs/2211.05052 (2022) - [i134]Chi Zhang, Paul Scheffler, Thomas Benz, Matteo Perotti, Luca Benini:
AXI-Pack: Near-Memory Bus Packing for Bandwidth-Efficient Irregular Workloads. CoRR abs/2211.10409 (2022) - [i133]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 abs/2211.12877 (2022) - [i132]Patrick Iff, Maciej Besta, Matheus A. Cavalcante, Tim Fischer, Luca Benini, Torsten Hoefler:
Sparse Hamming Graph: A Customizable Network-on-Chip Topology. CoRR abs/2211.13980 (2022) - [i131]Patrick Iff, Maciej Besta, Matheus A. Cavalcante, Tim Fischer, Luca Benini, Torsten Hoefler:
HexaMesh: Scaling to Hundreds of Chiplets with an Optimized Chiplet Arrangement. CoRR abs/2211.13989 (2022) - [i130]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. CoRR abs/2211.14944 (2022) - [i129]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) - [i128]Manil Dev Gomony, Floran de Putter, Anteneh Gebregiorgis, Gianna Paulin, Linyan Mei, Vikram Jain, Said Hamdioui, Victor Sanchez, Tobias Grosser, Marc Geilen, Marian Verhelst, Frank K. 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, S. Ainsworth, Federico Corradi, Ouassim Karrakchou, Tim Güneysu, Henk Corporaal:
CONVOLVE: Smart and seamless design of smart edge processors. CoRR abs/2212.00873 (2022) - [i127]Philipp Mayer, Michele Magno, Luca Benini:
Self-sustaining Ultra-wideband Positioning System for Event-driven Indoor Localization. CoRR abs/2212.04896 (2022) - 2021
- [j342]Michael Hersche, Stefan Lippuner, Matthias Korb, Luca Benini, Abbas Rahimi:
Near-channel classifier: symbiotic communication and classification in high-dimensional space. Brain Informatics 8(1): 16 (2021) - [j341]Antonio Libri, Andrea Bartolini, Luca Benini:
DiG: enabling out-of-band scalable high-resolution monitoring for data-center analytics, automation and control (extended). Clust. Comput. 24(4): 2723-2734 (2021) - [j340]Luca Benini, Deming Chen, Jinjun Xiong, Zhiru Zhang:
Guest Editors' Introduction: Machine Intelligence at the Edge. IEEE Des. Test 38(4): 5-6 (2021) - [j339]Cong Hao, Jordan Dotzel, Jinjun Xiong, Luca Benini, Zhiru Zhang, Deming Chen:
Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Codesign. IEEE Des. Test 38(4): 7-26 (2021) - [j338]Petar Jokic, Stéphane Emery, Luca Benini:
Improving Memory Utilization in Convolutional Neural Network Accelerators. IEEE Embed. Syst. Lett. 13(3): 77-80 (2021) - [j337]Benedetta Mazzoni, Simone Benatti, Luca Benini, Giuseppe Tagliavini:
Efficient Transform Algorithms for Parallel Ultra-Low-Power IoT End Nodes. IEEE Embed. Syst. Lett. 13(4): 210-213 (2021) - [j336]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): 548-562 (2021) - [j335]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): 789-802 (2021) - [j334]Martino Dazzi, Abu Sebastian, Luca Benini, Evangelos Eleftheriou:
Accelerating Inference of Convolutional Neural Networks Using In-memory Computing. Frontiers Comput. Neurosci. 15: 674154 (2021) - [j333]Alessio Burrello, Alex Marchioni, Davide Brunelli, Simone Benatti, Mauro Mangia, Luca Benini:
Embedded Streaming Principal Components Analysis for Network Load Reduction in Structural Health Monitoring. IEEE Internet Things J. 8(6): 4433-4447 (2021) - [j332]Moritz Scherer, Michele Magno, Jonas Erb, Philipp Mayer, Manuel Eggimann, Luca Benini:
TinyRadarNN: Combining Spatial and Temporal Convolutional Neural Networks for Embedded Gesture Recognition With Short Range Radars. IEEE Internet Things J. 8(13): 10336-10346 (2021) - [j331]Florian Zaruba, Fabian Schuiki, Luca Benini:
Manticore: A 4096-Core RISC-V Chiplet Architecture for Ultraefficient Floating-Point Computing. IEEE Micro 41(2): 36-42 (2021) - [j330]Giacomo Paolini, Marco Guermandi, Diego Masotti, Mazen Shanawani, Francesca Benassi, Luca Benini, Alessandra Costanzo:
RF-Powered Low-Energy Sensor Nodes for Predictive Maintenance in Electromagnetically Harsh Industrial Environments. Sensors 21(2): 386 (2021) - [j329]Miguel de Prado, Manuele Rusci, Alessandro Capotondi, Romain Donze, Luca Benini, Nuria Pazos:
Robustifying the Deployment of tinyML Models for Autonomous Mini-Vehicles. Sensors 21(4): 1339 (2021) - [j328]Philipp Mayer, Michele Magno, Luca Benini:
Energy-Positive Activity Recognition - From Kinetic Energy Harvesting to Smart Self-Sustainable Wearable Devices. IEEE Trans. Biomed. Circuits Syst. 15(5): 926-937 (2021) - [j327]Xiaying Wang, Lukas Cavigelli, Tibor Schneider, Luca Benini:
Sub-100 $\mu$W Multispectral Riemannian Classification for EEG-Based Brain-Machine Interfaces. IEEE Trans. Biomed. Circuits Syst. 15(6): 1149-1160 (2021) - [j326]Alessio Burrello, Daniele Jahier Pagliari, Matteo Risso, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino:
Q-PPG: Energy-Efficient PPG-Based Heart Rate Monitoring on Wearable Devices. IEEE Trans. Biomed. Circuits Syst. 15(6): 1196-1209 (2021) - [j325]Björn Forsberg, Luca Benini, Andrea Marongiu:
HePREM: A Predictable Execution Model for GPU-based Heterogeneous SoCs. IEEE Trans. Computers 70(1): 17-29 (2021) - [j324]Fabian Schuiki, Florian Zaruba, Torsten Hoefler, Luca Benini:
Stream Semantic Registers: A Lightweight RISC-V ISA Extension Achieving Full Compute Utilization in Single-Issue Cores. IEEE Trans. Computers 70(2): 212-227 (2021) - [j323]Daniele Cesarini, Andrea Bartolini, Pietro Bonfà, Carlo Cavazzoni, Luca Benini:
COUNTDOWN: A Run-Time Library for Performance-Neutral Energy Saving in MPI Applications. IEEE Trans. Computers 70(5): 682-695 (2021) - [j322]Martino Dazzi, Abu Sebastian, Thomas P. Parnell, Pier Andrea Francese, Luca Benini, Evangelos Eleftheriou:
Efficient Pipelined Execution of CNNs Based on In-Memory Computing and Graph Homomorphism Verification. IEEE Trans. Computers 70(6): 922-935 (2021) - [j321]Luca Benini, Simone Benatti, Taekwang Jang, Abbas Rahimi:
Guest Editorial: IEEE TC Special Issue On Smart Edge Computing and IoT. IEEE Trans. Computers 70(8): 1146-1147 (2021) - [j320]Florian Zaruba, Fabian Schuiki, Torsten Hoefler, Luca Benini:
Snitch: A Tiny Pseudo Dual-Issue Processor for Area and Energy Efficient Execution of Floating-Point Intensive Workloads. IEEE Trans. Computers 70(11): 1845-1860 (2021) - [j319]Miguel de Prado, Andrew Mundy, Rabia Saeed, Maurizio Denna, Nuria Pazos, Luca Benini:
Automated Design Space Exploration for Optimized Deployment of DNN on Arm Cortex-A CPUs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(11): 2293-2305 (2021) - [j318]Manuel Eggimann, Abbas Rahimi, Luca Benini:
A 5 μW Standard Cell Memory-Based Configurable Hyperdimensional Computing Accelerator for Always-on Smart Sensing. IEEE Trans. Circuits Syst. I Regul. Pap. 68(10): 4116-4128 (2021) - [j317]Ahmed Elnaqib, Hayate Okuhara, Taekwang Jang, Davide Rossi, Luca Benini:
A 0.5GHz 0.35mW LDO-Powered Constant-Slope Phase Interpolator With 0.22% INL. IEEE Trans. Circuits Syst. II Express Briefs 68(1): 156-160 (2021) - [j316]Geethan Karunaratne, Manuel Le Gallo, Michael Hersche, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi:
Energy Efficient In-Memory Hyperdimensional Encoding for Spatio-Temporal Signal Processing. IEEE Trans. Circuits Syst. II Express Briefs 68(5): 1725-1729 (2021) - [j315]Björn Forsberg, Marco Solieri, Marko Bertogna, Luca Benini, Andrea Marongiu:
The Predictable Execution Model in Practice: Compiling Real Applications for COTS Hardware. ACM Trans. Embed. Comput. Syst. 20(5): 47:1-47:25 (2021) - [j314]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): 1489-1505 (2021) - [j313]Giulia Luciani, Marco Crescentini, Aldo Romani, Marco Chiani, Luca Benini, Marco Tartagni:
Energy-Efficient PRBS Impedance Spectroscopy on a Digital Versatile Platform. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [j312]Philipp Mayer, Michele Magno, Armin Berger, Luca Benini:
RTK-LoRa: High-Precision, Long-Range, and Energy-Efficient Localization for Mobile IoT Devices. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j311]Alessio Burrello, Simone Benatti, Kaspar Schindler, Luca Benini, Abbas Rahimi:
An Ensemble of Hyperdimensional Classifiers: Hardware-Friendly Short-Latency Seizure Detection With Automatic iEEG Electrode Selection. IEEE J. Biomed. Health Informatics 25(4): 935-946 (2021) - [j310]Çagla Özsoy, Andrea Cossettini, Ali Özbek, Sergei Vostrikov, Pascal Hager, Xosé-Luís Dean-Ben, Luca Benini, Daniel Razansky:
LightSpeed: A Compact, High-Speed Optical-Link-Based 3D Optoacoustic Imager. IEEE Trans. Medical Imaging 40(8): 2023-2029 (2021) - [j309]Florian Glaser, Giuseppe Tagliavini, Davide Rossi, Germain Haugou, Qiuting Huang, Luca Benini:
Energy-Efficient Hardware-Accelerated Synchronization for Shared-L1-Memory Multiprocessor Clusters. IEEE Trans. Parallel Distributed Syst. 32(3): 633-648 (2021) - [j308]Christian Conficoni, Andrea Bartolini, Andrea Tilli, Carlo Cavazzoni, Luca Benini:
HPC Cooling: A Flexible Modeling Tool for Effective Design and Management. IEEE Trans. Sustain. Comput. 6(3): 441-455 (2021) - [j307]Riduan Khaddam-Aljameh, Pier Andrea Francese, Luca Benini, Evangelos Eleftheriou:
An SRAM-Based Multibit In-Memory Matrix-Vector Multiplier With a Precision That Scales Linearly in Area, Time, and Power. IEEE Trans. Very Large Scale Integr. Syst. 29(2): 372-385 (2021) - [j306]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) - [j305]Stefan Mach, Fabian Schuiki, Florian Zaruba, Luca Benini:
FPnew: An Open-Source Multiformat Floating-Point Unit Architecture for Energy-Proportional Transprecision Computing. IEEE Trans. Very Large Scale Integr. Syst. 29(4): 774-787 (2021) - [j304]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): 1624-1637 (2021) - [j303]Hayate Okuhara, Ahmed Elnaqib, Martino Dazzi, Pierpaolo Palestri, Simone Benatti, Luca Benini, Davide Rossi:
A Fully Integrated 5-mW, 0.8-Gbps Energy-Efficient Chip-to-Chip Data Link for Ultralow-Power IoT End-Nodes in 65-nm CMOS. IEEE Trans. Very Large Scale Integr. Syst. 29(10): 1800-1811 (2021) - [j302]Florian Scheidegger, Roxana Istrate, Giovanni Mariani, Luca Benini, Costas Bekas, A. Cristiano I. Malossi:
Efficient image dataset classification difficulty estimation for predicting deep-learning accuracy. Vis. Comput. 37(6): 1593-1610 (2021) - [c753]Thorir Mar Ingolfsson, Xiaying Wang, Michael Hersche, Alessio Burrello, Lukas Cavigelli, Luca Benini:
ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network. AICAS 2021: 1-4 - [c752]Vlad Niculescu, Lorenzo Lamberti, Daniele Palossi, Luca Benini:
Automated Tuning of End-to-end Neural Flight Controllers for Autonomous Nano-drones. AICAS 2021: 1-4 - [c751]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: 1-4 - [c750]Fabio Montagna, Giuseppe Tagliavini, Davide Rossi, Angelo Garofalo, Luca Benini:
Streamlining the OpenMP Programming Model on Ultra-Low-Power Multi-core MCUs. ARCS 2021: 167-182 - [c749]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: 53 - [c748]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: 1-8 - [c747]Thorir Mar Ingolfsson, Andrea Cossettini, Xiaying Wang, Enrico Tabanelli, Giuseppe Tagliavini, Philippe Ryvlin, Luca Benini, Simone Benatti:
Towards Long-term Non-invasive Monitoring for Epilepsy via Wearable EEG Devices. BioCAS 2021: 1-4 - [c746]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: 1-6 - [c745]Marcello Zanghieri, Simone Benatti, Alessio Burrello, Victor Javier Kartsch Morinigo, Roberto Meattini, Gianluca Palli, Claudio Melchiorri, Luca Benini:
sEMG-based Regression of Hand Kinematics with Temporal Convolutional Networks on a Low-Power Edge Microcontroller. COINS 2021: 1-6 - [c744]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: 1015-1020 - [c743]Nils Wistoff, Moritz Schneider, Frank K. Gürkaynak, Luca Benini, Gernot Heiser:
Microarchitectural Timing Channels and their Prevention on an Open-Source 64-bit RISC-V Core. DATE 2021: 627-632 - [c742]Matheus A. Cavalcante, Samuel Riedel, Antonio Pullini, Luca Benini:
MemPool: A Shared-L1 Memory Many-Core Cluster with a Low-Latency Interconnect. DATE 2021: 701-706 - [c741]Robert Balas, Luca Benini:
RISC-V for Real-time MCUs - Software Optimization and Microarchitectural Gap Analysis. DATE 2021: 874-877 - [c740]Maxim Mattheeuws, Björn Forsberg, Andreas Kurth, Luca Benini:
Analyzing Memory Interference of FPGA Accelerators on Multicore Hosts in Heterogeneous Reconfigurable SoCs. DATE 2021: 1152-1155 - [c739]Mohsen Seyedkazemi Ardebili, Marcello Zanghieri, Alessio Burrello, Francesco Beneventi, Andrea Acquaviva, Luca Benini, Andrea Bartolini:
Prediction of Thermal Hazards in a Real Datacenter Room Using Temporal Convolutional Networks. DATE 2021: 1256-1259 - [c738]Hanna Müller, Daniele Palossi, Stefan Mach, Francesco Conti, Luca Benini:
Fünfiiber-Drone: A Modular Open-Platform 18-grams Autonomous Nano-Drone. DATE 2021: 1610-1615 - [c737]Paul Scheffler, Florian Zaruba, Fabian Schuiki, Torsten Hoefler, Luca Benini:
Indirection Stream Semantic Register Architecture for Efficient Sparse-Dense Linear Algebra. DATE 2021: 1787-1792 - [c736]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 - [c735]Christoph Leitner, Simone Benatti, Kirill Keller, Andrea Cossettini, Victor Javier Kartsch, Harald Penasso, Luca Benini, Francesco Greco, Christian Baumgartner:
UStEMG: an Ultrasound Transparent Tattoo-based sEMG System for Unobtrusive Parallel Acquisitions of Muscle Electro-mechanics. EMBC 2021: 7077-7082 - [c734]Thomas Benz, Luca Bertaccini, Florian Zaruba, Fabian Schuiki, Frank K. Gürkaynak, Luca Benini:
A 10-core SoC with 20 Fine-Grain Power Domains for Energy-Proportional Data-Parallel Processing over a Wide Voltage and Temperature Range. ESSCIRC 2021: 263-266 - [c733]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 - [c732]Amirhossein Moallemi, Alessio Burrello, Davide Brunelli, Luca Benini:
Model-based vs. Data-driven Approaches for Anomaly Detection in Structural Health Monitoring: a Case Study. I2MTC 2021: 1-6 - [c731]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 - [c730]Samuel Riedel, Fabian Schuiki, Paul Scheffler, Florian Zaruba, Luca Benini:
Banshee: A Fast LLVM-Based RISC-V Binary Translator. ICCAD 2021: 1-9 - [c729]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: 409-416 - [c728]Raphael Fischer, Hanna Müller, Tommaso Polonelli, Luca Benini, Michele Magno:
WindNode: A Long-Lasting And Long-Range Bluetooth Wireless Sensor Node for Pressure and Acoustic Monitoring on Wind Turbines. ICPS 2021: 393-399 - [c727]Salvatore Di Girolamo, Andreas Kurth, Alexandru Calotoiu, Thomas Benz, Timo Schneider, Jakub Beránek, Luca Benini, Torsten Hoefler:
A RISC-V in-network accelerator for flexible high-performance low-power packet processing. ISCA 2021: 958-971 - [c726]Renzo Andri, Geethan Karunaratne, Lukas Cavigelli, Luca Benini:
ChewBaccaNN: A Flexible 223 TOPS/W BNN Accelerator. ISCAS 2021: 1-5 - [c725]Luca Bertaccini, Matteo Perotti, Stefan Mach, Pasquale Davide Schiavone, Florian Zaruba, Luca Benini:
Tiny-FPU: Low-Cost Floating-Point Support for Small RISC-V MCU Cores. ISCAS 2021: 1-5 - [c724]Lorenzo Lamberti, Manuele Rusci, Marco Fariselli, Francesco Paci, Luca Benini:
Low-Power License Plate Detection and Recognition on a RISC-V Multi-Core MCU-Based Vision System. ISCAS 2021: 1-5 - [c723]Tommaso Polonelli, Lukas Schulthess, Philipp Mayer, Michele Magno, Luca Benini:
H-Watch: An Open, Connected Platform for AI-Enhanced COVID19 Infection Symptoms Monitoring and Contact Tracing. ISCAS 2021: 1-5 - [c722]Miguel de Prado, Manuele Rusci, Romain Donze, Alessandro Capotondi, Serge Monnerat, Luca Benini, Nuria Pazos:
Robustifying the Deployment of tinyML Models for Autonomous Mini-Vehicles. ISCAS 2021: 1-5 - [c721]Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino:
Robust and Energy-Efficient PPG-Based Heart-Rate Monitoring. ISCAS 2021: 1-5 - [c720]Xiaying Wang, Tibor Schneider, Michael Hersche, Lukas Cavigelli, Luca Benini:
Mixed-Precision Quantization and Parallel Implementation of Multispectral Riemannian Classification for Brain-Machine Interfaces. ISCAS 2021: 1-5 - [c719]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: 1-6 - [c718]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 - [c717]Sukhwan Lim, Luca Benini, Vivienne Sze:
Session 9 Overview: ML Processors From Cloud to Edge Machine Learning Subcommittee. ISSCC 2021: 142-143 - [c716]Sukhwan Lim, Yongpan Liu, Luca Benini, Tanay Karnik, Hsie-Chia Chang:
F1: Striking the Balance Between Energy Efficiency & Flexibility: General-Purpose vs Special-Purpose ML Processors. ISSCC 2021: 513-516 - [c715]Alicia Klinefelter, Huichu Liu, Luca Benini, Yvain Thonnart, Keith A. Bowman, Kathy Wilcox, David Bol, Alvin Loke, Ofer Shacham:
SE2: Going Remote: Challenges and Opportunities to Remote Learning, Work, and Collaboration. ISSCC 2021: 539-540 - [c714]Petar Jokic, Stéphane Emery, Luca Benini:
Battery-Less Face Recognition at the Extreme Edge. NEWCAS 2021: 1-4 - [c713]Matteo Perotti, Giuseppe Tagliavini, Stefan Mach, Luca Bertaccini, Luca Benini:
RVfplib: A Fast and Compact Open-Source Floating-Point Emulation Library for Tiny RISC-V Processors. SAMOS 2021: 16-32 - [c712]Francesco Daghero, Alessio Burrello, Chen Xie, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers. VLSI-SoC 2021: 1-6 - [c711]Luca Valente, Davide Rossi, Luca Benini:
Hardware-In-The Loop Emulation for Agile Co-Design of Parallel Ultra-Low Power IoT Processors. VLSI-SoC 2021: 1-6 - [c710]Francesco Daghero, Alessio Burrello, Chen Xie, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Low-Overhead Early-Stopping Policies for Efficient Random Forests Inference on Microcontrollers. VLSI-SoC (Selected Papers) 2021: 25-47 - [c709]Petar Jokic, Erfan Azarkhish, Régis Cattenoz, Engin Türetken, Luca Benini, Stéphane Emery:
A Sub-mW Dual-Engine ML Inference System-on-Chip for Complete End-to-End Face-Analysis at the Edge. VLSI Circuits 2021: 1-2 - [i126]Gianmarco Cerutti, Renzo Andri, Lukas Cavigelli, Michele Magno, Elisabetta Farella, Luca Benini:
Sound Event Detection with Binary Neural Networks on Tightly Power-Constrained IoT Devices. CoRR abs/2101.04446 (2021) - [i125]