b'Luca Benini'

research

∙ 09/21/2023

NanoSLAM: Enabling Fully Onboard SLAM for Tiny Robots

Perceiving and mapping the surroundings are essential for enabling auton...

0 Vlad Niculescu, et al. ∙

research

∙ 09/18/2023

Spatz: Clustering Compact RISC-V-Based Vector Units to Maximize Computing Efficiency

The ever-increasing computational and storage requirements of modern app...

0 Matheus Cavalcante, et al. ∙

research

∙ 09/07/2023

Fully Onboard SLAM for Distributed Mapping with a Swarm of Nano-Drones

The use of Unmanned Aerial Vehicles (UAVs) is rapidly increasing in appl...

0 Carl Friess, et al. ∙

research

∙ 09/07/2023

OSMOSIS: Enabling Multi-Tenancy in Datacenter SmartNICs

Multi-tenancy is essential for unleashing SmartNIC's potential in datace...

0 Mikhail Khalilov, et al. ∙

research

∙ 09/04/2023

Scalable Hierarchical Instruction Cache for Ultra-Low-Power Processors Clusters

High Performance and Energy Efficiency are critical requirements for Int...

0 Jie Chen, et al. ∙

research

∙ 07/31/2023

PATRONoC: Parallel AXI Transport Reducing Overhead for Networks-on-Chip targeting Multi-Accelerator DNN Platforms at the Edge

Emerging deep neural network (DNN) applications require high-performance...

0 Vikram Jain, et al. ∙

research

∙ 07/17/2023

Land Localize: An Infrastructure-free and Scalable Nano-Drones Swarm with UWB-based Localization

Relative localization is a crucial functional block of any robotic swarm...

0 Mahyar Pourjabar, et al. ∙

research

∙ 07/17/2023

Fast Shared-Memory Barrier Synchronization for a 1024-Cores RISC-V Many-Core Cluster

Synchronization is likely the most critical performance killer in shared...

0 Marco Bertuletti, et al. ∙

research

∙ 07/12/2023

Flexible and Fully Quantized Ultra-Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems

This paper deploys and explores variants of TinyissimoYOLO, a highly fle...

0 Julian Moosmann, et al. ∙

research

∙ 07/09/2023

Towards a RISC-V Open Platform for Next-generation Automotive ECUs

The complexity of automotive systems is increasing quickly due to the in...

0 Luca Cuomo, et al. ∙

research

∙ 07/07/2023

ITA: An Energy-Efficient Attention and Softmax Accelerator for Quantized Transformers

Transformer networks have emerged as the state-of-the-art approach for n...

0 Gamze İslamoğlu, et al. ∙

research

∙ 07/06/2023

Free Bits: Latency Optimization of Mixed-Precision Quantized Neural Networks on the Edge

Mixed-precision quantization, where a deep neural network's layers are q...

0 Georg Rutishauser, et al. ∙

research

∙ 07/04/2023

BioGAP: a 10-Core FP-capable Ultra-Low Power IoT Processor, with Medical-Grade AFE and BLE Connectivity for Wearable Biosignal Processing

Wearable biosignal processing applications are driving significant progr...

0 Sebastian Frey, et al. ∙

research

∙ 07/03/2023

A 3 TOPS/W RISC-V Parallel Cluster for Inference of Fine-Grain Mixed-Precision Quantized Neural Networks

The emerging trend of deploying complex algorithms, such as Deep Neural ...

0 Alessandro Nadalini, et al. ∙

research

∙ 06/27/2023

A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms

Recent trends in deep learning (DL) imposed hardware accelerators as the...

0 Cristina Silvano, et al. ∙

research

∙ 06/15/2023

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

High-Performance Computing (HPC) processors are nowadays integrated Cybe...

0 Alessandro Ottaviano, et al. ∙

research

∙ 06/08/2023

Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference

The need to execute Deep Neural Networks (DNNs) at low latency and low p...

0 Matteo Risso, et al. ∙

research

∙ 05/30/2023

Reduced Precision Floating-Point Optimization for Deep Neural Network On-Device Learning on MicroControllers

Enabling On-Device Learning (ODL) for Ultra-Low-Power Micro-Controller U...

0 Davide Nadalini, et al. ∙

research

∙ 05/27/2023

ColibriUAV: An Ultra-Fast, Energy-Efficient Neuromorphic Edge Processing UAV-Platform with Event-Based and Frame-Based Cameras

The interest in dynamic vision sensor (DVS)-powered unmanned aerial vehi...

0 Sizhen Bian, et al. ∙

research

∙ 05/22/2023

Parallelizing Optical Flow Estimation on an Ultra-Low Power RISC-V Cluster for Nano-UAV Navigation

Optical flow estimation is crucial for autonomous navigation and localiz...

0 Jonas Kühne, et al. ∙

research

∙ 05/15/2023

FlooNoC: A Multi-Tbps Wide NoC for Heterogeneous AXI4 Traffic

Meeting the staggering bandwidth requirements of today's applications ch...

0 Tim Fischer, et al. ∙

research

∙ 05/15/2023

Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC with 2-to-8b DNN Acceleration and 30

Emerging Artificial Intelligence-enabled Internet-of-Things (AI-IoT) Sys...

0 Francesco Conti, et al. ∙

research

∙ 05/12/2023

Echoes: a 200 GOPS/W Frequency Domain SoC with FFT Processor and I2S DSP for Flexible Data Acquisition from Microphone Arrays

Emerging applications in the IoT domain require ultra-low-power and high...

0 Mattia Sinigaglia, et al. ∙

research

∙ 05/11/2023

A Data-Driven Approach to Lightweight DVFS-Aware Counter-Based Power Modeling for Heterogeneous Platforms

Computing systems have shifted towards highly parallel and heterogeneous...

0 Sergio Mazzola, et al. ∙

research

∙ 05/09/2023

Sparse Stream Semantic Registers: A Lightweight ISA Extension Accelerating General Sparse Linear Algebra

Sparse linear algebra is crucial in many application domains, but challe...

0 Paul Scheffler, et al. ∙

research

∙ 05/09/2023

A High-performance, Energy-efficient Modular DMA Engine Architecture

Data transfers are essential in today's computing systems as latency and...

0 Thomas Benz, et al. ∙

research

∙ 05/08/2023

Cheshire: A Lightweight, Linux-Capable RISC-V Host Platform for Domain-Specific Accelerator Plug-In

Power and cost constraints in the internet-of-things (IoT) extreme-edge ...

0 Alessandro Ottaviano, et al. ∙

research

∙ 04/20/2023

SALSA: Simulated Annealing based Loop-Ordering Scheduler for DNN Accelerators

To meet the growing need for computational power for DNNs, multiple spec...

0 Victor J. B. Jung, et al. ∙

research

∙ 04/14/2023

Neuromorphic Optical Flow and Real-time Implementation with Event Cameras

Optical flow provides information on relative motion that is an importan...

0 Yannick Schnider, et al. ∙

research

∙ 03/31/2023

DARKSIDE: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training

On-chip DNN inference and training at the Extreme-Edge (TinyML) impose s...

0 Angelo Garofalo, et al. ∙

research

∙ 03/30/2023

MemPool: A Scalable Manycore Architecture with a Low-Latency Shared L1 Memory

Shared L1 memory clusters are a common architectural pattern (e.g., in G...

0 Samuel Riedel, et al. ∙

research

∙ 03/24/2023

Factorizers for Distributed Sparse Block Codes

Distributed sparse block codes (SBCs) exhibit compact representations fo...

0 Michael Hersche, et al. ∙

research

∙ 03/03/2023

Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs

Miniaturized autonomous unmanned aerial vehicles (UAVs) are an emerging ...

0 Elia Cereda, et al. ∙

research

∙ 02/15/2023

ColibriES: A Milliwatts RISC-V Based Embedded System Leveraging Neuromorphic and Neural Networks Hardware Accelerators for Low-Latency Closed-loop Control Applications

End-to-end event-based computation has the potential to push the envelop...

0 Georg Rutishauser, et al. ∙

research

∙ 02/15/2023

Experimenting with Emerging ARM and RISC-V Systems for Decentralised Machine Learning

Decentralised Machine Learning (DML) enables collaborative machine learn...

0 Gianluca Mittone, et al. ∙

research

∙ 02/12/2023

Quark: An Integer RISC-V Vector Processor for Sub-Byte Quantized DNN Inference

In this paper, we present Quark, an integer RISC-V vector processor spec...

0 MohammadHossein AskariHemmat, et al. ∙

research

∙ 02/06/2023

CVA6 RISC-V Virtualization: Architecture, Microarchitecture, and Design Space Exploration

Virtualization is a key technology used in a wide range of applications,...

0 Bruno Sá, et al. ∙

research

∙ 01/28/2023

Bio-inspired Autonomous Exploration Policies with CNN-based Object Detection on Nano-drones

Nano-sized drones, with palm-sized form factor, are gaining relevance in...

0 Lorenzo Lamberti, et al. ∙

research

∙ 01/24/2023

Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge

Neural Architecture Search (NAS) is quickly becoming the go-to approach ...

0 Matteo Risso, et al. ∙

research

∙ 01/10/2023

RedMule: A Mixed-Precision Matrix-Matrix Operation Engine for Flexible and Energy-Efficient On-Chip Linear Algebra and TinyML Training Acceleration

The increasing interest in TinyML, i.e., near-sensor machine learning on...

0 Yvan Tortorella, et al. ∙

research

∙ 12/01/2022

TCN-CUTIE: A 1036 TOp/s/W, 2.72 uJ/Inference, 12.2 mW All-Digital Ternary Accelerator in 22 nm FDX Technology

Tiny Machine Learning (TinyML) applications impose uJ/Inference constrai...

0 Moritz Scherer, et al. ∙

research

∙ 11/27/2022

HULK-V: a Heterogeneous Ultra-low-power Linux capable RISC-V SoC

IoT applications span a wide range in performance and memory footprint, ...

0 Luca Valente, et al. ∙

research

∙ 11/25/2022

HexaMesh: Scaling to Hundreds of Chiplets with an Optimized Chiplet Arrangement

2.5D integration is an important technique to tackle the growing cost of...

0 Patrick Iff, et al. ∙

research

∙ 11/25/2022

Sparse Hamming Graph: A Customizable Network-on-Chip Topology

Chips with hundreds to thousands of cores require scalable networks-on-c...

0 Patrick Iff, et al. ∙

research

∙ 11/23/2022

End-to-End DNN Inference on a Massively Parallel Analog In Memory Computing Architecture

The demand for computation resources and energy efficiency of Convolutio...

0 Nazareno Bruschi, et al. ∙

research

∙ 11/18/2022

AXI-Pack: Near-Memory Bus Packing for Bandwidth-Efficient Irregular Workloads

Data-intensive applications involving irregular memory streams are ineff...

0 Chi Zhang, et al. ∙

research

∙ 11/09/2022

In-memory factorization of holographic perceptual representations

Disentanglement of constituent factors of a sensory signal is central to...

0 Jovin Langenegger, et al. ∙

research

∙ 10/17/2022

Efficient Parallelization of 5G-PUSCH on a Scalable RISC-V Many-core Processor

5G Radio access network disaggregation and softwarization pose challenge...

0 Marco Bertuletti, et al. ∙

research

∙ 10/17/2022

A ”New Ara” for Vector Computing: An Open Source Highly Efficient RISC-V V 1.0 Vector Processor Design

Vector architectures are gaining traction for highly efficient processin...

0 Matteo Perotti, et al. ∙

research

∙ 10/07/2022

An Energy-Efficient Spiking Neural Network for Finger Velocity Decoding for Implantable Brain-Machine Interface

Brain-machine interfaces (BMIs) are promising for motor rehabilitation a...

9 Jiawei Liao, et al. ∙

Luca Benini

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