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20242026
most citedScalable and RISC-V Programmable Near-Memory Computing Architectures for Edge Nodes

17 citations · 28 across the 12 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.AR2025

X-HEEP: An Open-Source, Configurable and Extendible RISC-V Platform for TinyAI Applications

Simone Machetti, Pasquale Davide Schiavone, Giovanni Ansaloni +2

In this work, we present X-HEEP, an open-source, configurable, and extendible RISC-V platform for ultra-low-power edge applications (TinyAI). X-HEEP features the eXtendible Acceler…

cs.AR2025

CEO-DC: Driving Decarbonization in HPC Data Centers with Actionable Insights

Rubén Rodríguez Álvarez, Denisa-Andreea Constantinescu, Miguel Peón-Quirós +1

The rapid growth of data centers is increasing energy demand and widening the carbon gap in the ICT sector, as fossil fuels still dominate global energy production. Addressing this…

cs.AR2025

e-GPU: An Open-Source and Configurable RISC-V Graphic Processing Unit for TinyAI Applications

Simone Machetti, Pasquale Davide Schiavone, Lara Orlandic +4

Graphics processing units (GPUs) excel at parallel processing, but remain largely unexplored in ultra-low-power edge devices (TinyAI) due to their power and area limitations, as we…

cs.AR2025★ 5 cited

Quadrilatero: A RISC-V programmable matrix coprocessor for low-power edge applications

Danilo Cammarata, Matteo Perotti, Marco Bertuletti +4

The rapid growth of AI-based Internet-of-Things applications increased the demand for high-performance edge processing engines on a low-power budget and tight area constraints. As…

cs.AR2025

Just TestIt! An SBST Approach To Automate System-Integration Testing

Tommaso Terzano, Luigi Giuffrida, Juan Sapriza +5

This paper introduces TestIt, an open-source Python package designed to automate full-system integration testing using a Software-Based Self-Test (SBST) approach. By dynamically ge…

cs.AR2025★ 2 cited

Increasing the Energy-Efficiency of Wearables Using Low-Precision Posit Arithmetic with PHEE

David Mallasén, Pasquale Davide Schiavone, Alberto A. Del Barrio +2

Wearable edge AI biomedical devices are increasingly being used for continuous patient health monitoring, enabling real-time insights and extended data collection without the need…