1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.AR2025★ 1 cited
MARVEL: An End-to-End Framework for Generating Model-Class Aware Custom RISC-V Extensions for Lightweight AI
Ajay Kumar M, Cian O'Mahoney, Pedro Kreutz Werle +5
Deploying deep neural networks (DNNs) on resource-constrained IoT devices remains a challenging problem, often requiring hardware modifications tailored to individual AI models. Ex…
cs.AR2024
KWT-Tiny: RISC-V Accelerated, Embedded Keyword Spotting Transformer
Aness Al-Qawlaq, Ajay Kumar M, Deepu John
This paper explores the adaptation of Transformerbased models for edge devices through the quantisation and hardware acceleration of the ARM Keyword Transformer (KWT) model on a RI…