activity
20222025
most citedDARKSIDE: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training

34 citations · 83 across the 9 of their papers we have counts for

collaborators

9 papers

cs.AR2025

A Reliable, Time-Predictable Heterogeneous SoC for AI-Enhanced Mixed-Criticality Edge Applications

Angelo Garofalo, Alessandro Ottaviano, Matteo Perotti +20

Next-generation mixed-criticality Systems-on-chip (SoCs) for robotics, automotive, and space must execute mixed-criticality AI-enhanced sensor processing and control workloads, ens…

eess.SY2024

Culsans: An Efficient Snoop-based Coherency Unit for the CVA6 Open Source RISC-V application processor

Riccardo Tedeschi, Luca Valente, Gianmarco Ottavi +6

Symmetric Multi-Processing (SMP) based on cache coherency is crucial for high-end embedded systems like automotive applications. RISC-V is gaining traction, and open-source hardwar…

cs.AR2024★ 15 cited

A Heterogeneous RISC-V based SoC for Secure Nano-UAV Navigation

Luca Valente, Alessandro Nadalini, Asif Veeran +12

The rapid advancement of energy-efficient parallel ultra-low-power (ULP) ucontrollers units (MCUs) is enabling the development of autonomous nano-sized unmanned aerial vehicles (na…

cs.AR2024★ 5 cited

TOP: Towards Open & Predictable Heterogeneous SoCs

Luca Valente, Francesco Restuccia, Davide Rossi +2

Ensuring predictability in modern real-time Systems-on-Chip (SoCs) is an increasingly critical concern for many application domains such as automotive, robotics, and industrial aut…

cs.AR2023

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 +5

Emerging applications in the IoT domain require ultra-low-power and high-performance end-nodes to deal with complex near-sensor-data analytics. Domains such as audio, radar, and St…

cs.AR2023★ 34 cited

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

Angelo Garofalo, Yvan Tortorella, Matteo Perotti +5

On-chip DNN inference and training at the Extreme-Edge (TinyML) impose strict latency, throughput, accuracy and flexibility requirements. Heterogeneous clusters are promising solut…

cs.CR2023★ 9 cited

Cyber Security aboard Micro Aerial Vehicles: An OpenTitan-based Visual Communication Use Case

Maicol Ciani, Stefano Bonato, Rafail Psiakis +6

Autonomous Micro Aerial Vehicles (MAVs), with a form factor of 10cm in diameter, are an emerging technology thanks to the broad applicability enabled by their onboard intelligence.…

cs.AR2023★ 3 cited

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

Bruno Sá, Luca Valente, José Martins +3

Virtualization is a key technology used in a wide range of applications, from cloud computing to embedded systems. Over the last few years, mainstream computer architectures were e…

cs.AR2022★ 17 cited

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

Luca Valente, Yvan Tortorella, Mattia Sinigaglia +4

IoT applications span a wide range in performance and memory footprint, under tight cost and power constraints. High-end applications rely on power-hungry Systems-on-Chip (SoCs) fe…