Research
MARVEL: An End-to-End Framework for Generating Model-Class Aware Custom RISC-V Extensions for Lightweight AI
Abstract
MARVEL is an automated, end-to-end framework designed to efficiently deploy deep neural networks (DNNs) on highly resource-constrained IoT devices operating in bare-metal environments. It achieves this by generating custom RISC-V Instruction Set