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

5 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

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.AR20255 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…

eess.SP2024

Enabling Efficient Wearables: An Analysis of Low-Power Microcontrollers for Biomedical Applications

Dimitrios Samakovlis, Stefano Albini, Rubén Rodríguez Álvarez +4

Breakthroughs in ultra-low-power chip technology are transforming biomedical wearables, making it possible to monitor patients in real time with devices operating on mere μW. Altho…