M100 dataset 2: from 21-01 to 21-06 (Version 1.0.0) - 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 (Zenodo, 2023)
Accessed on YYYY-MM-DD.

M100 dataset 3: from 21-07 to 21-09 (Version 1.0.0) - 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 (Zenodo, 2023)
Accessed on YYYY-MM-DD.

M100 dataset 4: from 21-10 to 21-12 (Version 1.0.0) - 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 (Zenodo, 2023)
Accessed on YYYY-MM-DD.

M100 dataset 5: from 22-01 to 22-02 (Version 1.0.0) - 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 (Zenodo, 2023)
Accessed on YYYY-MM-DD.

M100 dataset 6: 22-03 (Version 1.0.0) - 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 (Zenodo, 2023)
Accessed on YYYY-MM-DD.

M100 dataset 7: 22-04 (Version 1.0.0) - 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 (Zenodo, 2023)
Accessed on YYYY-MM-DD.

M100 dataset 8: 22-05 (Version 1.0.0) - 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 (Zenodo, 2023)
Accessed on YYYY-MM-DD.

M100 dataset 9: 22-06 (Version 1.0.0) - 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 (Zenodo, 2023)
Accessed on YYYY-MM-DD.

M100 dataset 10: 22-07 (Version 1.0.0) - 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 (Zenodo, 2023)
Accessed on YYYY-MM-DD.

M100 dataset 11: 22-08 (Version 1.0.0) - 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 (Zenodo, 2023)
Accessed on YYYY-MM-DD.

M100 dataset 12: 22-09 (Version 1.0.0) - 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 (Zenodo, 2023)
Accessed on YYYY-MM-DD.

Raw data related to In-memory factorization of holographic perceptual representations (Version 1) - Jovin Langenegger; Geethan Karunaratne; Michael Hersche; Luca Benini; Abu Sebastian; Abbas Rahimi (Zenodo, 2023)
Accessed on YYYY-MM-DD.

Towards the Future Generation of Railway Localization Exploiting RTK and GNSS (Version 3) - Denis Mikhaylov; Carla Amatetti; Tommaso Polonelli; Enea Masina; Riccardo Campana; Kai Berszin; Davide Amato; Alessandro Vanelli-Coralli; Michele Magno; Luca Benini (Zenodo, 2023)
Accessed on YYYY-MM-DD.

RedMule: A Mixed-Precision Matrix-Matrix Operation Engine for Flexible and Energy-Efficient On-Chip Linear Algebra and TinyML Training Acceleration - Yvan Tortorella; Luca Bertaccini; Luca Benini; Davide Rossi; Francesco Conti (CoRR, 2023)

Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge - Matteo Risso; Alessio Burrello; Francesco Conti; Lorenzo Lamberti; Yukai Chen; Luca Benini; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (CoRR, 2023)

Bio-inspired Autonomous Exploration Policies with CNN-based Object Detection on Nano-drones - Lorenzo Lamberti; Luca Bompani; Victor Javier Kartsch; Manuele Rusci; Daniele Palossi; Luca Benini (CoRR, 2023)

CVA6 RISC-V Virtualization: Architecture, Microarchitecture, and Design Space Exploration - Bruno Sá; Luca Valente; José Martins; Davide Rossi; Luca Benini; Sandro Pinto (CoRR, 2023)

Quark: An Integer RISC-V Vector Processor for Sub-Byte Quantized DNN Inference - 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 (CoRR, 2023)

Experimenting with Emerging ARM and RISC-V Systems for Decentralised Machine Learning - Gianluca Mittone; Nicolò Tonci; Robert Birke; Iacopo Colonnelli; Doriana Medic; Andrea Bartolini; Roberto Esposito; Emanuele Parisi; Francesco Beneventi; Mirko Polato; Massimo Torquati; Luca Benini; et al. (CoRR, 2023)

ColibriES: A Milliwatts RISC-V Based Embedded System Leveraging Neuromorphic and Neural Networks Hardware Accelerators for Low-Latency Closed-loop Control Applications - Georg Rutishauser; Robin Hunziker; Alfio Di Mauro; Sizhen Bian; Luca Benini; Michele Magno (CoRR, 2023)

Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs - Elia Cereda; Luca Crupi; Matteo Risso; Alessio Burrello; Luca Benini; Alessandro Giusti; Daniele Jahier Pagliari; Daniele Palossi (CoRR, 2023)

Hybrid Modular Redundancy: Exploring Modular Redundancy Approaches in RISC-V Multi-Core Computing Clusters for Reliable Processing in Space - Michael Rogenmoser; Yvan Tortorella; Davide Rossi; Francesco Conti; Luca Benini (CoRR, 2023)

Factorizers for Distributed Sparse Block Codes - Michael Hersche; Aleksandar Terzic; Geethan Karunaratne; Jovin Langenegger; Angéline Pouget; Giovanni Cherubini; Luca Benini; Abu Sebastian; Abbas Rahimi (CoRR, 2023)

MemPool: A Scalable Manycore Architecture with a Low-Latency Shared L1 Memory - Samuel Riedel; Matheus A. Cavalcante; Renzo Andri; Luca Benini (CoRR, 2023)

DARKSIDE: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training - Angelo Garofalo; Yvan Tortorella; Matteo Perotti; Luca Valente; Alessandro Nadalini; Luca Benini; Davide Rossi; Francesco Conti (CoRR, 2023)

Neuromorphic Optical Flow and Real-time Implementation with Event Cameras - Yannick Schnider; Stanislaw Wozniak; Mathias Gehrig; Jules Lecomte; Axel von Arnim; Luca Benini; Davide Scaramuzza; Angeliki Pantazi (CoRR, 2023)

SALSA: Simulated Annealing based Loop-Ordering Scheduler for DNN Accelerators - Victor J. B. Jung; Arne Symons; Linyan Mei; Marian Verhelst; Luca Benini (CoRR, 2023)

Cheshire: A Lightweight, Linux-Capable RISC-V Host Platform for Domain-Specific Accelerator Plug-In - Alessandro Ottaviano; Thomas Benz; Paul Scheffler; Luca Benini (CoRR, 2023)

A High-performance, Energy-efficient Modular DMA Engine Architecture - Thomas Benz; Michael Rogenmoser; Paul Scheffler; Samuel Riedel; Alessandro Ottaviano; Andreas Kurth; Torsten Hoefler; Luca Benini (CoRR, 2023)

Sparse Stream Semantic Registers: A Lightweight ISA Extension Accelerating General Sparse Linear Algebra - Paul Scheffler; Florian Zaruba; Fabian Schuiki; Torsten Hoefler; Luca Benini (CoRR, 2023)

A Data-Driven Approach to Lightweight DVFS-Aware Counter-Based Power Modeling for Heterogeneous Platforms - Sergio Mazzola; Thomas Benz; Björn Forsberg; Luca Benini (CoRR, 2023)

Echoes: a 200 GOPS/W Frequency Domain SoC with FFT Processor and I2S DSP for Flexible Data Acquisition from Microphone Arrays - Mattia Sinigaglia; Luca Bertaccini; Luca Valente; Angelo Garofalo; Simone Benatti; Luca Benini; Francesco Conti; Davide Rossi (CoRR, 2023)

Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC with 2-to-8b DNN Acceleration and 30%-Boost Adaptive Body Biasing - Francesco Conti; Gianna Paulin; Davide Rossi; Alfio Di Mauro; Georg Rutishauser; Gianmarco Ottavi; Manuel Eggimann; Hayate Okuhara; Luca Benini (CoRR, 2023)

FlooNoC: A Multi-Tbps Wide NoC for Heterogeneous AXI4 Traffic - Tim Fischer; Michael Rogenmoser; Matheus A. Cavalcante; Frank K. Gürkaynak; Luca Benini (CoRR, 2023)

Parallelizing Optical Flow Estimation on an Ultra-Low Power RISC-V Cluster for Nano-UAV Navigation - Jonas Kühne; Michele Magno; Luca Benini (CoRR, 2023)

ColibriUAV: An Ultra-Fast, Energy-Efficient Neuromorphic Edge Processing UAV-Platform with Event-Based and Frame-Based Cameras - Sizhen Bian; Lukas Schulthess; Georg Rutishauser; Alfio Di Mauro; Luca Benini; Michele Magno (CoRR, 2023)

Reduced Precision Floating-Point Optimization for Deep Neural Network On-Device Learning on MicroControllers - Davide Nadalini; Manuele Rusci; Luca Benini; Francesco Conti (CoRR, 2023)

Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference - Matteo Risso; Alessio Burrello; Giuseppe Maria Sarda; Luca Benini; Enrico Macii; Massimo Poncino; Marian Verhelst; Daniele Jahier Pagliari (CoRR, 2023)

Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation - Alessio Burrello; Matteo Risso; Noemi Tomasello; Yukai Chen; Luca Benini; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (CoRR, 2023)

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 - Alessandro Ottaviano; Robert Balas; Giovanni Bambini; Antonio del Vecchio; Maicol Ciani; Davide Rossi; Luca Benini; Andrea Bartolini (CoRR, 2023)

A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms - 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; et al. (CoRR, 2023)

A 3 TOPS/W RISC-V Parallel Cluster for Inference of Fine-Grain Mixed-Precision Quantized Neural Networks - Alessandro Nadalini; Georg Rutishauser; Alessio Burrello; Nazareno Bruschi; Angelo Garofalo; Luca Benini; Francesco Conti; Davide Rossi (CoRR, 2023)

BioGAP: a 10-Core FP-capable Ultra-Low Power IoT Processor, with Medical-Grade AFE and BLE Connectivity for Wearable Biosignal Processing - Sebastian Frey; Marco Guermandi; Simone Benatti; Victor Javier Kartsch; Andrea Cossettini; Luca Benini (CoRR, 2023)

Free Bits: Latency Optimization of Mixed-Precision Quantized Neural Networks on the Edge - Georg Rutishauser; Francesco Conti; Luca Benini (CoRR, 2023)

ITA: An Energy-Efficient Attention and Softmax Accelerator for Quantized Transformers - Gamze Islamoglu; Moritz Scherer; Gianna Paulin; Tim Fischer; Victor J. B. Jung; Angelo Garofalo; Luca Benini (CoRR, 2023)

Towards a RISC-V Open Platform for Next-generation Automotive ECUs - Luca Cuomo; Claudio Scordino; Alessandro Ottaviano; Nils Wistoff; Robert Balas; Luca Benini; Errico Guidieri; Ida Maria Savino (CoRR, 2023)

Design of an energy aware petaflops class high performance cluster based on power architecture - 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 (CoRR, 2023)

Flexible and Fully Quantized Ultra-Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems - Julian Moosmann; Hanna Müller; Nicky Zimmerman; Georg Rutishauser; Luca Benini; Michele Magno (CoRR, 2023)

Fast Shared-Memory Barrier Synchronization for a 1024-Cores RISC-V Many-Core Cluster - Marco Bertuletti; Samuel Riedel; Yichao Zhang; Alessandro Vanelli-Coralli; Luca Benini (CoRR, 2023)

Land & Localize: An Infrastructure-free and Scalable Nano-Drones Swarm with UWB-based Localization - Mahyar Pourjabar; Ahmed AlKatheeri; Manuele Rusci; Agata Barcis; Vlad Niculescu; Eliseo Ferrante; Daniele Palossi; Luca Benini (CoRR, 2023)

PATRONoC: Parallel AXI Transport Reducing Overhead for Networks-on-Chip targeting Multi-Accelerator DNN Platforms at the Edge - Vikram Jain; Matheus A. Cavalcante; Nazareno Bruschi; Michael Rogenmoser; Thomas Benz; Andreas Kurth; Davide Rossi; Luca Benini; Marian Verhelst (CoRR, 2023)

Scalable Hierarchical Instruction Cache for Ultra-Low-Power Processors Clusters - Jie Chen; Igor Loi; Eric Flamand; Giuseppe Tagliavini; Luca Benini; Davide Rossi (CoRR, 2023)

OSMOSIS: Enabling Multi-Tenancy in Datacenter SmartNICs - Mikhail Khalilov; Marcin Chrapek; Siyuan Shen; Alessandro Vezzu; Thomas Benz; Salvatore Di Girolamo; Timo Schneider; Daniele De Sensi; Luca Benini; Torsten Hoefler (CoRR, 2023)

Fully Onboard SLAM for Distributed Mapping with a Swarm of Nano-Drones - Carl Friess; Vlad Niculescu; Tommaso Polonelli; Michele Magno; Luca Benini (CoRR, 2023)

A Wearable Ultra-Low-Power sEMG-Triggered Ultrasound System for Long-Term Muscle Activity Monitoring - Sebastian Frey; Victor Javier Kartsch; Christoph Leitner; Andrea Cossettini; Sergei Vostrikov; Simone Benatti; Luca Benini (CoRR, 2023)

EpiDeNet: An Energy-Efficient Approach to Seizure Detection for Embedded Systems - Thorir Mar Ingolfsson; Upasana Chakraborty; Xiaying Wang; Sándor Beniczky; Pauline Ducouret; Simone Benatti; Philippe Ryvlin; Andrea Cossettini; Luca Benini (CoRR, 2023)

Enhancing Performance, Calibration Time and Efficiency in Brain-Machine Interfaces through Transfer Learning and Wearable EEG Technology - Xiaying Wang; Lan Mei; Victor Javier Kartsch; Andrea Cossettini; Luca Benini (CoRR, 2023)

Spatz: Clustering Compact RISC-V-Based Vector Units to Maximize Computing Efficiency - Matheus A. Cavalcante; Matteo Perotti; Samuel Riedel; Luca Benini (CoRR, 2023)

NanoSLAM: Enabling Fully Onboard SLAM for Tiny Robots - Vlad Niculescu; Tommaso Polonelli; Michele Magno; Luca Benini (CoRR, 2023)

Skilog: A Smart Sensor System for Performance Analysis and Biofeedback in Ski Jumping - Lukas Schulthess; Thorir Mar Ingolfsson; Marc Nölke; Michele Magno; Luca Benini; Christoph Leitner (CoRR, 2023)

Trikarenos: A Fault-Tolerant RISC-V-based Microcontroller for CubeSats in 28nm - Michael Rogenmoser; Luca Benini (CoRR, 2023)

Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices - Alessio Burrello; Matteo Risso; Beatrice Alessandra Motetti; Enrico Macii; Luca Benini; Daniele Jahier Pagliari (CoRR, 2023)

Fully Onboard Low-Power Localization with Semantic Sensor Fusion on a Nano-UAV using Floor Plans - Nicky Zimmerman; Hanna Müller; Michele Magno; Luca Benini (CoRR, 2023)

Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO - Julian Moosmann; Pietro Bonazzi; Yawei Li; Sizhen Bian; Philipp Mayer; Luca Benini; Michele Magno (CoRR, 2023)

RapidChiplet: A Toolchain for Rapid Design Space Exploration of Chiplet Architectures - Patrick Iff; Benigna Bruggmann; Maciej Besta; Luca Benini; Torsten Hoefler (CoRR, 2023)

Ara2: Exploring Single- and Multi-Core Vector Processing with an Efficient RVV1.0 Compliant Open-Source Processor - Matteo Perotti; Matheus A. Cavalcante; Renzo Andri; Lukas Cavigelli; Luca Benini (CoRR, 2023)

CV32RT: Enabling Fast Interrupt and Context Switching for RISC-V Microcontrollers - Robert Balas; Alessandro Ottaviano; Luca Benini (CoRR, 2023)

PELS: A Lightweight and Flexible Peripheral Event Linking System for Ultra-Low Power IoT Processors - Alessandro Ottaviano; Robert Balas; Philippe Sauter; Manuel Eggimann; Luca Benini (CoRR, 2023)

AXI-REALM: A Lightweight and Modular Interconnect Extension for Traffic Regulation and Monitoring of Heterogeneous Real-Time SoCs - Thomas Benz; Alessandro Ottaviano; Robert Balas; Angelo Garofalo; Francesco Restuccia; Alessandro Biondi; Luca Benini (CoRR, 2023)

Stella Nera: Achieving 161 TOp/s/W with Multiplier-free DNN Acceleration based on Approximate Matrix Multiplication - Jannis Schönleber; Lukas Cavigelli; Renzo Andri; Matteo Perotti; Luca Benini (CoRR, 2023)

Near-Memory Parallel Indexing and Coalescing: Enabling Highly Efficient Indirect Access for SpMV - Chi Zhang; Paul Scheffler; Thomas Benz; Matteo Perotti; Luca Benini (CoRR, 2023)

A Survey on Design Methodologies for Accelerating Deep Learning on Heterogeneous Architectures - Fabrizio Ferrandi; Serena Curzel; Leandro Fiorin; Daniele Ielmini; Cristina Silvano; Francesco Conti; Alessio Burrello; Francesco Barchi; Luca Benini; Luciano Lavagno; Teodoro Urso; Enrico Calore; et al. (CoRR, 2023)

MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition - Nicolas Menet; Michael Hersche; Geethan Karunaratne; Luca Benini; Abu Sebastian; Abbas Rahimi (CoRR, 2023)

TCNCA: Temporal Convolution Network with Chunked Attention for Scalable Sequence Processing - Aleksandar Terzic; Michael Hersche; Geethan Karunaratne; Luca Benini; Abu Sebastian; Abbas Rahimi (CoRR, 2023)

Multi-sensory Anti-collision Design for Autonomous Nano-swarm Exploration - Mahyar Pourjabar; Manuele Rusci; Luca Bompani; Lorenzo Lamberti; Vlad Niculescu; Daniele Palossi; Luca Benini (CoRR, 2023)

Siracusa: A 16 nm Heterogenous RISC-V SoC for Extended Reality with At-MRAM Neural Engine - 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 (CoRR, 2023)

A Heterogeneous In-Memory Computing Cluster for Flexible End-to-End Inference of Real-World Deep Neural Networks - Angelo Garofalo; Gianmarco Ottavi; Francesco Conti; Geethan Karunaratne; Irem Boybat; Luca Benini; Davide Rossi (IEEE J. Emerg. Sel. Topics Circuits Syst., 2022)

Embedding Temporal Convolutional Networks for Energy-efficient PPG-based Heart Rate Monitoring - Alessio Burrello; Daniele Jahier Pagliari; Pierangelo Maria Rapa; Matilde Semilia; Matteo Risso; Tommaso Polonelli; Massimo Poncino; Luca Benini; Simone Benatti (ACM Trans. Comput. Heal., 2022)

Fully Onboard AI-Powered Human-Drone Pose Estimation on Ultralow-Power Autonomous Flying Nano-UAVs - Daniele Palossi; Nicky Zimmerman; Alessio Burrello; Francesco Conti; Hanna Müller; Luca Maria Gambardella; Luca Benini; Alessandro Giusti; Jérôme Guzzi (IEEE Internet Things J., 2022)

Exploring Scalable, Distributed Real-Time Anomaly Detection for Bridge Health Monitoring - Amirhossein Moallemi; Alessio Burrello; Davide Brunelli; Luca Benini (IEEE Internet Things J., 2022)

Vega: A Ten-Core SoC for IoT Endnodes With DNN Acceleration and Cognitive Wake-Up From MRAM-Based State-Retentive Sleep Mode - 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 (IEEE J. Solid State Circuits, 2022)

Efficient Low-Frequency SSVEP Detection with Wearable EEG Using Normalized Canonical Correlation Analysis - Victor Javier Kartsch; Velu Prabhakar Kumaravel; Simone Benatti; Giorgio Vallortigara; Luca Benini; Elisabetta Farella; Marco Buiatti (Sensors, 2022)

Fly, Wake-up, Find: UAV-based Energy-efficient Localization for Distributed Sensor Nodes - Vlad Niculescu; Daniele Palossi; Michele Magno; Luca Benini (Sustain. Comput. Informatics Syst., 2022)

Traffic Load Estimation from Structural Health Monitoring sensors using supervised learning - Alessio Burrello; Giovanni Zara; Luca Benini; Davide Brunelli; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (Sustain. Comput. Informatics Syst., 2022)

An open platform for efficient drone-to-sensor wireless ranging and data harvesting - Tommaso Polonelli; Michele Magno; Vlad Niculescu; Luca Benini; David E. Boyle (Sustain. Comput. Informatics Syst., 2022)

An Open-Source Platform for High-Performance Non-Coherent On-Chip Communication - Andreas Kurth; Wolfgang Rönninger; Thomas Benz; Matheus A. Cavalcante; Fabian Schuiki; Florian Zaruba; Luca Benini (IEEE Trans. Computers, 2022)

CUTIE: Beyond PetaOp/s/W Ternary DNN Inference Acceleration With Better-Than-Binary Energy Efficiency - Moritz Scherer; Georg Rutishauser; Lukas Cavigelli; Luca Benini (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Optimizing Random Forest-Based Inference on RISC-V MCUs at the Extreme Edge - Enrico Tabanelli; Giuseppe Tagliavini; Luca Benini (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Vau Da Muntanialas: Energy-Efficient Multi-Die Scalable Acceleration of RNN Inference - Gianna Paulin; Francesco Conti; Lukas Cavigelli; Luca Benini (IEEE Trans. Circuits Syst. I Regul. Pap., 2022)

Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks - Gianmarco Cerutti; Lukas Cavigelli; Renzo Andri; Michele Magno; Elisabetta Farella; Luca Benini (IEEE Trans. Circuits Syst. I Regul. Pap., 2022)

Dataflow Driven Partitioning of Machine Learning Applications for Optimal Energy Use in Batteryless Systems - Andres Gomez; Andreas Tretter; Pascal Alexander Hager; Praveenth Sanmugarajah; Luca Benini; Lothar Thiele (ACM Trans. Embed. Comput. Syst., 2022)

A Construction Kit for Efficient Low Power Neural Network Accelerator Designs - Petar Jokic; Erfan Azarkhish; Andrea Bonetti; Marc Pons; Stéphane Emery; Luca Benini (ACM Trans. Embed. Comput. Syst., 2022)

Trimming Feature Extraction and Inference for MCU-Based Edge NILM: A Systematic Approach - Enrico Tabanelli; Davide Brunelli; Andrea Acquaviva; Luca Benini (IEEE Trans. Ind. Informatics, 2022)

Leveraging Tactile Sensors for Low Latency Embedded Smart Hands for Prosthetic and Robotic Applications - Xiaying Wang; Fabian Geiger; Vlad Niculescu; Michele Magno; Luca Benini (IEEE Trans. Instrum. Meas., 2022)

A Low-Power Transprecision Floating-Point Cluster for Efficient Near-Sensor Data Analytics - Fabio Montagna; Stefan Mach; Simone Benatti; Angelo Garofalo; Gianmarco Ottavi; Luca Benini; Davide Rossi; Giuseppe Tagliavini (IEEE Trans. Parallel Distributed Syst., 2022)

HEROv2: Full-Stack Open-Source Research Platform for Heterogeneous Computing - Andreas Kurth; Björn Forsberg; Luca Benini (IEEE Trans. Parallel Distributed Syst., 2022)

Towards On-device Domain Adaptation for Noise-Robust Keyword Spotting - Cristian Cioflan; Lukas Cavigelli; Manuele Rusci; Miguel de Prado; Luca Benini (4th IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2022, Incheon, Republic of Korea, June 13-15, 2022, 2022)

An Energy-Efficient Spiking Neural Network for Finger Velocity Decoding for Implantable Brain-Machine Interface - Jiawei Liao; Lars Widmer; Xiaying Wang; Alfio Di Mauro; Samuel R. Nason-Tomaszewski; Cynthia A. Chestek; Luca Benini; Taekwang Jang (4th IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2022, Incheon, Republic of Korea, June 13-15, 2022, 2022)

Scale up your In-Memory Accelerator: Leveraging Wireless-on-Chip Communication for AIMC-based CNN Inference - Nazareno Bruschi; Giuseppe Tagliavini; Francesco Conti; Sergi Abadal; Albert Cabellos-Aparicio; Eduard Alarcón; Geethan Karunaratne; Irem Boybat; Luca Benini; Davide Rossi (4th IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2022, Incheon, Republic of Korea, June 13-15, 2022, 2022)

Tiny-PULP-Dronets: Squeezing Neural Networks for Faster and Lighter Inference on Multi-Tasking Autonomous Nano-Drones - Lorenzo Lamberti; Vlad Niculescu; Michal Barcis; Lorenzo Bellone; Enrico Natalizio; Luca Benini; Daniele Palossi (4th IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2022, Incheon, Republic of Korea, June 13-15, 2022, 2022)

Adversarially-Trained Tiny Autoencoders for Near-Sensor Continuous Structural Health Monitoring - Alessio Burrello; Giacomo Sintoni; Davide Brunelli; Luca Benini (4th IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2022, Incheon, Republic of Korea, June 13-15, 2022, 2022)

MiniFloat-NN and ExSdotp: An ISA Extension and a Modular Open Hardware Unit for Low-Precision Training on RISC-V Cores - Luca Bertaccini; Gianna Paulin; Tim Fischer; Stefan Mach; Luca Benini (29th IEEE Symposium on Computer Arithmetic, ARITH 2022, Lyon, France, September 12-14, 2022, 2022)

A "New Ara" for Vector Computing: An Open Source Highly Efficient RISC-V V 1.0 Vector Processor Design - Matteo Perotti; Matheus A. Cavalcante; Nils Wistoff; Renzo Andri; Lukas Cavigelli; Luca Benini (33rd IEEE International Conference on Application-specific Systems, Architectures and Processors, ASAP 2022, Gothenburg, Sweden, July 12-14, 2022, 2022)

Improving PPG-based Heart-Rate Monitoring with Synthetically Generated Data - Alessio Burrello; Daniele Jahier Pagliari; Marzia Bianco; Enrico Macii; Luca Benini; Massimo Poncino; Simone Benatti (IEEE Biomedical Circuits and Systems Conference, BioCAS 2022, Taipei, Taiwan, October 13-15, 2022, 2022)

A High SNR, Low-latency Dry EMG Acquisition System for Unobtrusive HMI Devices - Victor Javier Kartsch Morinigo; Simone Benatti; Luca Benini (IEEE Biomedical Circuits and Systems Conference, BioCAS 2022, Taipei, Taiwan, October 13-15, 2022, 2022)

EEGformer: Transformer-Based Epilepsy Detection on Raw EEG Traces for Low-Channel-Count Wearable Continuous Monitoring Devices - Paola Busia; Andrea Cossettini; Thorir Mar Ingolfsson; Simone Benatti; Alessio Burrello; Moritz Scherer; Matteo Antonio Scrugli; Paolo Meloni; Luca Benini (IEEE Biomedical Circuits and Systems Conference, BioCAS 2022, Taipei, Taiwan, October 13-15, 2022, 2022)

sEMG Neural Spikes Reconstruction for Gesture Recognition on a Low-Power Multicore Processor - Mattia Orlandi; Marcello Zanghieri; Victor Javier Kartsch Morinigo; Francesco Conti; Pasquale Davide Schiavone; Luca Benini; Simone Benatti (IEEE Biomedical Circuits and Systems Conference, BioCAS 2022, Taipei, Taiwan, October 13-15, 2022, 2022)

Modeling the Thermal and Power Control Subsystem in HPC Processors - Giovanni Bambini; Christian Conficoni; Andrea Tilli; Luca Benini; Andrea Bartolini (IEEE Conference on Control Technology and Applications, CCTA 2022, Trieste, Italy, August 23-25, 2022, 2022)

Multi-level anomaly prediction in Tier-0 datacenter: a deep learning approach - Mohsen Seyedkazemi Ardebili; Andrea Bartolini; Luca Benini (CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17 - 22, 2022, 2022)

Semi-supervised anomaly detection on a Tier-0 HPC system - Martin Molan; Andrea Borghesi; Luca Benini; Andrea Bartolini (CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17 - 22, 2022, 2022)

Meet Monte Cimone: exploring RISC-V high performance compute clusters - Federico Ficarelli; Andrea Bartolini; Emanuele Parisi; Francesco Beneventi; Francesco Barchi; Daniele Gregori; Fabrizio Magugliani; Marco Cicala; Cosimo Gianfreda; Daniele Cesarini; Andrea Acquaviva; Luca Benini (CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17 - 22, 2022, 2022)

Reducing neural architecture search spaces with training-free statistics and computational graph clustering - Thorir Mar Ingolfsson; Mark Vero; Xiaying Wang; Lorenzo Lamberti; Luca Benini; Matteo Spallanzani (CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17 - 22, 2022, 2022)

A 1036 TOp/s/W, 12.2 mW, 2.72 \(μ\)J/Inference All Digital TNN Accelerator in 22 nm FDX Technology for TinyML Applications - Moritz Scherer; Alfio Di Mauro; Georg Rutishauser; Tim Fischer; Luca Benini (IEEE Symposium in Low-Power and High-Speed Chips, COOL CHIPS 2022, Tokyo, Japan, April 20-22, 2022, 2022)

Training Quantised Neural Networks with STE Variants: the Additive Noise Annealing Algorithm - Matteo Spallanzani; Gian Paolo Leonardi; Luca Benini (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022)

Constrained Few-shot Class-incremental Learning - Michael Hersche; Geethan Karunaratne; Giovanni Cherubini; Luca Benini; Abu Sebastian; Abbas Rahimi (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022)

A RDMA Interface for Ultra-Fast Ultrasound Data-Streaming over an Optical Link - Andrea Cossettini; Konstantin Taranov; Christian Vogt; Michele Magno; Torsten Hoefler; Luca Benini (2022 Design, Automation & Test in Europe Conference & Exhibition, DATE 2022, Antwerp, Belgium, March 14-23, 2022, 2022)

MemPool-3D: Boosting Performance and Efficiency of Shared-L1 Memory Many-Core Clusters with 3D Integration - Matheus A. Cavalcante; Anthony Agnesina; Samuel Riedel; Moritz Brunion; Alberto García-Ortiz; Dragomir Milojevic; Francky Catthoor; Sung Kyu Lim; Luca Benini (2022 Design, Automation & Test in Europe Conference & Exhibition, DATE 2022, Antwerp, Belgium, March 14-23, 2022, 2022)

Ternarized TCN for \mu \mathrm{J}/\text{Inference} Gesture Recognition from DVS Event Frames - Georg Rutishauser; Moritz Scherer; Tim Fischer; Luca Benini (2022 Design, Automation & Test in Europe Conference & Exhibition, DATE 2022, Antwerp, Belgium, March 14-23, 2022, 2022)

SNE: an Energy-Proportional Digital Accelerator for Sparse Event-Based Convolutions - Alfio Di Mauro; Arpan Suravi Prasad; Zhikai Huang; Matteo Spallanzani; Francesco Conti; Luca Benini (2022 Design, Automation & Test in Europe Conference & Exhibition, DATE 2022, Antwerp, Belgium, March 14-23, 2022, 2022)

RedMulE: A Compact FP16 Matrix-Multiplication Accelerator for Adaptive Deep Learning on RISC-V-Based Ultra-Low-Power SoCs - Yvan Tortorella; Luca Bertaccini; Davide Rossi; Luca Benini; Francesco Conti (2022 Design, Automation & Test in Europe Conference & Exhibition, DATE 2022, Antwerp, Belgium, March 14-23, 2022, 2022)

Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition - Alessio Burrello; Francesco Bianco Morghet; Moritz Scherer; Simone Benatti; Luca Benini; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (2022 Design, Automation & Test in Europe Conference & Exhibition, DATE 2022, Antwerp, Belgium, March 14-23, 2022, 2022)

AEPUS: a tool for the Automated Extraction of Pennation angles in Ultrasound images with low Signal-to-noise ratio for plane-wave imaging - Sergei Vostrikov; Andrea Cossettini; Christoph Leitner; Christian Baumgartner; Luca Benini (44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2022, Glasgow, Scotland, United Kingdom, July 11-15, 2022, 2022)

BioWolf16: a 16-channel, 24-bit, 4kSPS Ultra-Low Power Platform for Wearable Clinical-grade Bio-potential Parallel Processing and Streaming - Riccardo Donati; Victor Javier Kartsch; Luca Benini; Simone Benatti (44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2022, Glasgow, Scotland, United Kingdom, July 11-15, 2022, 2022)

A Wireless System for EEG Acquisition and Processing in an Earbud Form Factor with 600 Hours Battery Lifetime - Marco Guermandi; Andrea Cossettini; Simone Benatti; Luca Benini (44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2022, Glasgow, Scotland, United Kingdom, July 11-15, 2022, 2022)

Energy-Efficient Tree-Based EEG Artifact Detection - Thorir Mar Ingolfsson; Andrea Cossettini; Simone Benatti; Luca Benini (44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2022, Glasgow, Scotland, United Kingdom, July 11-15, 2022, 2022)

In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory - 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; et al. (48th IEEE European Solid State Circuits Conference, ESSCIRC 2022, Milan, Italy, September 19-22, 2022, 2022)

Darkside: 2.6GFLOPS, 8.7mW Heterogeneous RISC-V Cluster for Extreme-Edge On-Chip DNN Inference and Training - Angelo Garofalo; Matteo Perotti; Luca Valente; Yvan Tortorella; Alessandro Nadalini; Luca Benini; Davide Rossi; Francesco Conti (48th IEEE European Solid State Circuits Conference, ESSCIRC 2022, Milan, Italy, September 19-22, 2022, 2022)

A 283 pJ/b 240 Mb/s Floating-Point Baseband Accelerator for Massive MU-MIMO in 22FDX - Oscar Castañeda; Luca Benini; Christoph Studer (48th IEEE European Solid State Circuits Conference, ESSCIRC 2022, Milan, Italy, September 19-22, 2022, 2022)

Analysing Supercomputer Nodes Behaviour with the Latent Representation of Deep Learning Models - Martin Molan; Andrea Borghesi; Luca Benini; Andrea Bartolini (Euro-Par 2022: Parallel Processing - 28th International Conference on Parallel and Distributed Computing, Glasgow, UK, August 22-26, 2022, Proceedings, 2022)

Machine Learning Methodologies to Support HPC Systems Operations: Anomaly Detection - Martin Molan; Andrea Borghesi; Luca Benini; Andrea Bartolini (Euro-Par 2022: Parallel Processing Workshops - Euro-Par 2022 International Workshops, Glasgow, UK, August 22-26, 2022, Revised Selected Papers, 2022)

ViT-LR: Pushing the Envelope for Transformer-Based on-Device Embedded Continual Learning - Alberto Dequino; Francesco Conti; Luca Benini (13th IEEE International Green and Sustainable Computing Conference, IGSC 2022, Pittsburgh, PA, USA, October 24-25, 2022, 2022)

Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes - Matteo Risso; Alessio Burrello; Luca Benini; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (13th IEEE International Green and Sustainable Computing Conference, IGSC 2022, Pittsburgh, PA, USA, October 24-25, 2022, 2022)

Kraken: A Direct Event/Frame-Based Multi-sensor Fusion SoC for Ultra-Efficient Visual Processing in Nano-UAVs - Alfio Di Mauro; Moritz Scherer; Davide Rossi; Luca Benini (2022 IEEE Hot Chips 34 Symposium, HCS 2022, Cupertino, CA, USA, August 21-23, 2022, 2022)

Towards a Multi-Pixel Time-of-Flight Indoor Navigation System for Nano-Drone Applications - Vlad Niculescu; Hanna Müller; Iman Ostovar; Tommaso Polonelli; Michele Magno; Luca Benini (IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2022, Ottawa, ON, Canada, May 16-19, 2022, 2022)

Spatz: A Compact Vector Processing Unit for High-Performance and Energy-Efficient Shared-L1 Clusters - Matheus A. Cavalcante; Domenic Wüthrich; Matteo Perotti; Samuel Riedel; Luca Benini (Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2022, San Diego, California, USA, 30 October 2022 - 3 November 2022, 2022)

Demo Abstract: Towards Reliable Obstacle Avoidance for Nano-UAVs - Iman Ostovar; Vlad Niculescu; Hanna Müller; Tommaso Polonelli; Michele Magno; Luca Benini (21st ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2022, Milano, Italy, May 4-6, 2022, 2022)

Parallelizing Optical Flow Estimation on an Ultra-Low Power RISC-V Cluster for Nano-UAV Navigation - Jonas Kühne; Michele Magno; Luca Benini (IEEE International Symposium on Circuits and Systems, ISCAS 2022, Austin, TX, USA, May 27 - June 1, 2022, 2022)

Hier-3D: A Hierarchical Physical Design Methodology for Face-to-Face-Bonded 3D ICs - Anthony Agnesina; Moritz Brunion; Alberto García Ortiz; Francky Catthoor; Dragomir Milojevic; Manu Komalan; Matheus A. Cavalcante; Samuel Riedel; Luca Benini; Sung Kyu Lim (ISLPED '22: ACM/IEEE International Symposium on Low Power Electronics and Design, Boston, MA, USA, August 1 - 3, 2022, 2022)

Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks - Matteo Risso; Alessio Burrello; Luca Benini; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (ISLPED '22: ACM/IEEE International Symposium on Low Power Electronics and Design, Boston, MA, USA, August 1 - 3, 2022, 2022)

Soft Tiles: Capturing Physical Implementation Flexibility for Tightly-Coupled Parallel Processing Clusters - Gianna Paulin; Matheus A. Cavalcante; Paul Scheffler; Luca Bertaccini; Yichao Zhang; Frank K. Gürkaynak; Luca Benini (IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2022, Nicosia, Cyprus, July 4-6, 2022, 2022)

On-Demand Redundancy Grouping: Selectable Soft-Error Tolerance for a Multicore Cluster - Michael Rogenmoser; Nils Wistoff; Pirmin Vogel; Frank K. Gürkaynak; Luca Benini (IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2022, Nicosia, Cyprus, July 4-6, 2022, 2022)

PULP: Extreme Energy Efficiency for Extreme Edge AI Acceleration - Luca Benini (11th Mediterranean Conference on Embedded Computing, MECO 2022, Budva, Montenegro, June 7-10, 2022, 2022)

ControlPULP: A RISC-V Power Controller for HPC Processors with Parallel Control-Law Computation Acceleration - Alessandro Ottaviano; Robert Balas; Giovanni Bambini; Corrado Bonfanti; Simone Benatti; Davide Rossi; Luca Benini; Andrea Bartolini (Embedded Computer Systems: Architectures, Modeling, and Simulation - 22nd International Conference, SAMOS 2022, Samos, Greece, July 3-7, 2022, Proceedings, 2022)

PULP-TrainLib: Enabling On-Device Training for RISC-V Multi-core MCUs Through Performance-Driven Autotuning - Davide Nadalini; Manuele Rusci; Giuseppe Tagliavini; Leonardo Ravaglia; Luca Benini; Francesco Conti (Embedded Computer Systems: Architectures, Modeling, and Simulation - 22nd International Conference, SAMOS 2022, Samos, Greece, July 3-7, 2022, Proceedings, 2022)

A Data-Driven Approach to Lightweight DVFS-Aware Counter-Based Power Modeling for Heterogeneous Platforms - Sergio Mazzola; Thomas Benz; Björn Forsberg; Luca Benini (Embedded Computer Systems: Architectures, Modeling, and Simulation - 22nd International Conference, SAMOS 2022, Samos, Greece, July 3-7, 2022, Proceedings, 2022)

Towards the Future Generation of Railway Localization and Signaling Exploiting sub-meter RTK GNSS - Carla Amatetti; Tommaso Polonelli; Enea Masina; Charles Moatti; Denis Mikhaylov; Davide Amato; Alessandro Vanelli-Coralli; Michele Magno; Luca Benini (IEEE Sensors Applications Symposium, SAS 2022, Sundsvall, Sweden, August 1-3, 2022, 2022)

Automatic Extraction of Muscle Fascicle Pennation Angle from Raw Ultrasound Data - Soley Hafthorsdottir; Sergei Vostrikov; Andrea Cossettini; Michael Rieder; Christoph Leitner; Michele Magno; Luca Benini (IEEE Sensors Applications Symposium, SAS 2022, Sundsvall, Sweden, August 1-3, 2022, 2022)

Monte Cimone: Paving the Road for the First Generation of RISC-V High-Performance Computers - Andrea Bartolini; Federico Ficarelli; Emanuele Parisi; Francesco Beneventi; Francesco Barchi; Daniele Gregori; Fabrizio Magugliani; Marco Cicala; Cosimo Gianfreda; Daniele Cesarini; Andrea Acquaviva; Luca Benini (35th IEEE International System-on-Chip Conference, SOCC 2022, Belfast, United Kingdom, September 5-8, 2022, 2022)

Rule-Based Thermal Anomaly Detection for Tier-0 HPC Systems - Mohsen Seyedkazemi Ardebili; Andrea Bartolini; Andrea Acquaviva; Luca Benini (High Performance Computing. ISC High Performance 2022 International Workshops - Hamburg, Germany, May 29 - June 2, 2022, Revised Selected Papers, 2022)

An Optimized Heart Rate Detection System Based on Low-Power Microcontroller Platforms for Biosignal Processing - Benedetta Mazzoni; Giuseppe Tagliavini; Luca Benini; Simone Benatti (Advances in System-Integrated Intelligence - Proceedings of the 6th International Conference on System-Integrated Intelligence (SysInt 2022), September 7-9, 2022, Genova, Italy, 2022)

WideVision: A Low-Power, Multi-Protocol Wireless Vision Platform for Distributed Surveillance - Moritz Scherer; Fabian Sidler; Michael Rogenmoser; Michele Magno; Luca Benini (18th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2022, Thessaloniki, Greece, October 10-12, 2022, 2022)

HEROv2 Software Development Kit (SDK) Docker Image - Andreas Kurth; Björn Forsberg; Luca Benini (IEEE DataPort, 2022)
Accessed on YYYY-MM-DD.

A Heterogeneous In-Memory Computing Cluster For Flexible End-to-End Inference of Real-World Deep Neural Networks - Angelo Garofalo; Gianmarco Ottavi; Francesco Conti; Geethan Karunaratne; Irem Boybat; Luca Benini; Davide Rossi (CoRR, 2022)

Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks - Gianmarco Cerutti; Lukas Cavigelli; Renzo Andri; Michele Magno; Elisabetta Farella; Luca Benini (CoRR, 2022)

HEROv2: Full-Stack Open-Source Research Platform for Heterogeneous Computing - Andreas Kurth; Björn Forsberg; Luca Benini (CoRR, 2022)

GVSoC: A Highly Configurable, Fast and Accurate Full-Platform Simulator for RISC-V based IoT Processors - Nazareno Bruschi; Germain Haugou; Giuseppe Tagliavini; Francesco Conti; Luca Benini; Davide Rossi (CoRR, 2022)

Dustin: A 16-Cores Parallel Ultra-Low-Power Cluster with 2b-to-32b Fully Flexible Bit-Precision and Vector Lockstep Execution Mode - Gianmarco Ottavi; Angelo Garofalo; Giuseppe Tagliavini; Francesco Conti; Alfio Di Mauro; Luca Benini; Davide Rossi (CoRR, 2022)

Vau da muntanialas: Energy-efficient multi-die scalable acceleration of RNN inference - Gianna Paulin; Francesco Conti; Lukas Cavigelli; Luca Benini (CoRR, 2022)

Systematic Prevention of On-Core Timing Channels by Full Temporal Partitioning - Nils Wistoff; Moritz Schneider; Frank K. Gürkaynak; Gernot Heiser; Luca Benini (CoRR, 2022)

Exploring Scalable, Distributed Real-Time Anomaly Detection for Bridge Health Monitoring - Amirhossein Moallemi; Alessio Burrello; Davide Brunelli; Luca Benini (CoRR, 2022)

Embedding Temporal Convolutional Networks for Energy-Efficient PPG-Based Heart Rate Monitoring - Alessio Burrello; Daniele Jahier Pagliari; Pierangelo Maria Rapa; Matilde Semilia; Matteo Risso; Tommaso Polonelli; Massimo Poncino; Luca Benini; Simone Benatti (CoRR, 2022)

A Neuro-vector-symbolic Architecture for Solving Raven's Progressive Matrices - Michael Hersche; Mustafa Zeqiri; Luca Benini; Abu Sebastian; Abbas Rahimi (CoRR, 2022)

Training Quantised Neural Networks with STE Variants: the Additive Noise Annealing Algorithm - Matteo Spallanzani; Gian Paolo Leonardi; Luca Benini (CoRR, 2022)

TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference - Alessio Burrello; Alberto Dequino; Daniele Jahier Pagliari; Francesco Conti; Marcello Zanghieri; Enrico Macii; Luca Benini; Massimo Poncino (CoRR, 2022)

Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition - Alessio Burrello; Francesco Bianco Morghet; Moritz Scherer; Simone Benatti; Luca Benini; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (CoRR, 2022)

Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks - Matteo Risso; Alessio Burrello; Daniele Jahier Pagliari; Francesco Conti; Lorenzo Lamberti; Enrico Macii; Luca Benini; Massimo Poncino (CoRR, 2022)

Q-PPG: Energy-Efficient PPG-based Heart Rate Monitoring on Wearable Devices - Alessio Burrello; Daniele Jahier Pagliari; Matteo Risso; Simone Benatti; Enrico Macii; Luca Benini; Massimo Poncino (CoRR, 2022)

Leveraging Tactile Sensors for Low Latency Embedded Smart Hands for Prosthetic and Robotic Applications - Xiaying Wang; Fabian Geiger; Vlad Niculescu; Michele Magno; Luca Benini (CoRR, 2022)

Robust and Energy-efficient PPG-based Heart-Rate Monitoring - Matteo Risso; Alessio Burrello; Daniele Jahier Pagliari; Simone Benatti; Enrico Macii; Luca Benini; Massimo Poncino (CoRR, 2022)

Constrained Few-shot Class-incremental Learning - Michael Hersche; Geethan Karunaratne; Giovanni Cherubini; Luca Benini; Abu Sebastian; Abbas Rahimi (CoRR, 2022)

Energy-Efficient Adaptive Machine Learning on IoT End-Nodes With Class-Dependent Confidence - Francesco Daghero; Alessio Burrello; Daniele Jahier Pagliari; Luca Benini; Enrico Macii; Massimo Poncino (CoRR, 2022)

Energy-Efficient Tree-Based EEG Artifact Detection - Thorir Mar Ingolfsson; Andrea Cossettini; Simone Benatti; Luca Benini (CoRR, 2022)

SNE: an Energy-Proportional Digital Accelerator for Sparse Event-Based Convolutions - Alfio Di Mauro; Arpan Suravi Prasad; Zhikai Huang; Matteo Spallanzani; Francesco Conti; Luca Benini (CoRR, 2022)

RedMulE: A Compact FP16 Matrix-Multiplication Accelerator for Adaptive Deep Learning on RISC-V-Based Ultra-Low-Power SoCs - Yvan Tortorella; Luca Bertaccini; Davide Rossi; Luca Benini; Francesco Conti (CoRR, 2022)

Reducing Neural Architecture Search Spaces with Training-Free Statistics and Computational Graph Clustering - Thorir Mar Ingolfsson; Mark Vero; Xiaying Wang; Lorenzo Lamberti; Luca Benini; Matteo Spallanzani (CoRR, 2022)

Monte Cimone: Paving the Road for the First Generation of RISC-V High-Performance Computers - Andrea Bartolini; Federico Ficarelli; Emanuele Parisi; Francesco Beneventi; Francesco Barchi; Daniele Gregori; Fabrizio Magugliani; Marco Cicala; Cosimo Gianfreda; Daniele Cesarini; Andrea Acquaviva; Luca Benini (CoRR, 2022)

Aerosense: A Self-Sustainable And Long-Range Bluetooth Wireless Sensor Node for Aerodynamic and Aeroacoustic Monitoring on Wind Turbines - Tommaso Polonelli; Hanna Müller; Weikang Kong; Raphael Fischer; Luca Benini; Michele Magno (CoRR, 2022)

On-Demand Redundancy Grouping: Selectable Soft-Error Tolerance for a Multicore Cluster - Michael Rogenmoser; Nils Wistoff; Pirmin Vogel; Frank K. Gürkaynak; Luca Benini (CoRR, 2022)

Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers - Francesco Daghero; Alessio Burrello; Chen Xie; Luca Benini; Andrea Calimera; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (CoRR, 2022)

Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks - Matteo Risso; Alessio Burrello; Luca Benini; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (CoRR, 2022)

Scale up your In-Memory Accelerator: Leveraging Wireless-on-Chip Communication for AIMC-based CNN Inference - Nazareno Bruschi; Giuseppe Tagliavini; Francesco Conti; Sergi Abadal; Albert Cabellos-Aparicio; Eduard Alarcón; Geethan Karunaratne; Irem Boybat; Luca Benini; Davide Rossi (CoRR, 2022)

Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes - Matteo Risso; Alessio Burrello; Luca Benini; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (CoRR, 2022)

MiniFloat-NN and ExSdotp: An ISA Extension and a Modular Open Hardware Unit for Low-Precision Training on RISC-V cores - Luca Bertaccini; Gianna Paulin; Tim Fischer; Stefan Mach; Luca Benini (CoRR, 2022)

In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory - 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; et al. (CoRR, 2022)

Spatz: A Compact Vector Processing Unit for High-Performance and Energy-Efficient Shared-L1 Clusters - Matheus A. Cavalcante; Domenic Wüthrich; Matteo Perotti; Samuel Riedel; Luca Benini (CoRR, 2022)

Robust and Efficient Depth-based Obstacle Avoidance for Autonomous Miniaturized UAVs - Hanna Müller; Vlad Niculescu; Tommaso Polonelli; Michele Magno; Luca Benini (CoRR, 2022)

RUAD: unsupervised anomaly detection in HPC systems - Martin Molan; Andrea Borghesi; Daniele Cesarini; Luca Benini; Andrea Bartolini (CoRR, 2022)

Soft Tiles: Capturing Physical Implementation Flexibility for Tightly-Coupled Parallel Processing Clusters - Gianna Paulin; Matheus A. Cavalcante; Paul Scheffler; Luca Bertaccini; Yichao Zhang; Frank K. Gürkaynak; Luca Benini (CoRR, 2022)

Kraken: A Direct Event/Frame-Based Multi-sensor Fusion SoC for Ultra-Efficient Visual Processing in Nano-UAVs - Alfio Di Mauro; Moritz Scherer; Davide Rossi; Luca Benini (CoRR, 2022)

An Energy-Efficient Spiking Neural Network for Finger Velocity Decoding for Implantable Brain-Machine Interface - Jiawei Liao; Lars Widmer; Xiaying Wang; Alfio Di Mauro; Samuel R. Nason-Tomaszewski; Cynthia A. Chestek; Luca Benini; Taekwang Jang (CoRR, 2022)

A "New Ara" for Vector Computing: An Open Source Highly Efficient RISC-V V 1.0 Vector Processor Design - Matteo Perotti; Matheus A. Cavalcante; Nils Wistoff; Renzo Andri; Lukas Cavigelli; Luca Benini (CoRR, 2022)

Efficient Parallelization of 5G-PUSCH on a Scalable RISC-V Many-core Processor - Marco Bertuletti; Yichao Zhang; Alessandro Vanelli-Coralli; Luca Benini (CoRR, 2022)

In-memory factorization of holographic perceptual representations - Jovin Langenegger; Geethan Karunaratne; Michael Hersche; Luca Benini; Abu Sebastian; Abbas Rahimi (CoRR, 2022)

AXI-Pack: Near-Memory Bus Packing for Bandwidth-Efficient Irregular Workloads - Chi Zhang; Paul Scheffler; Thomas Benz; Matteo Perotti; Luca Benini (CoRR, 2022)

End-to-End DNN Inference on a Massively Parallel Analog In Memory Computing Architecture - Nazareno Bruschi; Giuseppe Tagliavini; Angelo Garofalo; Francesco Conti; Irem Boybat; Luca Benini; Davide Rossi (CoRR, 2022)

Sparse Hamming Graph: A Customizable Network-on-Chip Topology - Patrick Iff; Maciej Besta; Matheus A. Cavalcante; Tim Fischer; Luca Benini; Torsten Hoefler (CoRR, 2022)

HexaMesh: Scaling to Hundreds of Chiplets with an Optimized Chiplet Arrangement - Patrick Iff; Maciej Besta; Matheus A. Cavalcante; Tim Fischer; Luca Benini; Torsten Hoefler (CoRR, 2022)

HULK-V: a Heterogeneous Ultra-low-power Linux capable RISC-V SoC - Luca Valente; Yvan Tortorella; Mattia Sinigaglia; Giuseppe Tagliavini; Alessandro Capotondi; Luca Benini; Davide Rossi (CoRR, 2022)

TCN-CUTIE: A 1036 TOp/s/W, 2.72 uJ/Inference, 12.2 mW All-Digital Ternary Accelerator in 22 nm FDX Technology - Moritz Scherer; Alfio Di Mauro; Tim Fischer; Georg Rutishauser; Luca Benini (CoRR, 2022)

CONVOLVE: Smart and seamless design of smart edge processors - 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; et al. (CoRR, 2022)