Author

Maurizio Martina

2 papers indexed here

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Open access Oct 2026

QUINN: Quantized Inference and Dataflow Characterization for Neural Networks on RISC-V Near-Memory Architectures

Machine learning inference is moving to the edge due to latency, energy, and privacy constraints. The growing complexity of edge workloads places increasing pressure on memory hierarchies, making data movement a major limitation for both performance and energy efficiency. Fixed-function accelerators inherit the memory...

Vincenzo Petrolo, Flavia Guella, Guido Masera et al. · Computers · 0 citations

Jul 2026

HORCRUX: A Complete PQC RISC-V eXtension Architecture

HORCRUX addresses the difficult trade-off between crypto-agility, high performance, and low resource consumption in constrained environments, a balance typically missing in hardware extensions that focus on limited PQC subsets.

Alessandra Dolmeta, Valeria Piscopo, Michael Hutter et al. · arXiv.org · 1 citation