2 citations · 2 across the 5 of their papers we have counts for
5 papers
Evaluating Architectural Trade-offs in CGRAs: The Impact of Scratchpad Memory and Heterogeneity on Compute-Intensive Kernels
María José Belda, Lara Orlandic, Fernando Castro +3
Modern edge computing applications, particularly high-throughput stream processing like Vision Transformers (ViTs), demand massive spatial parallelism and efficient data movement u…
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…
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…
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…
VWR2A: A Very-Wide-Register Reconfigurable-Array Architecture for Low-Power Embedded Devices
Benoît Walter Denkinger, Miguel Peón-Quirós, Mario Konijnenburg +2
Edge-computing requires high-performance energy-efficient embedded systems. Fixed-function or custom accelerators, such as FFT or FIR filter engines, are very efficient at implemen…