Research
Efficient Flexible Edge Inference for Mixed-Precision Quantized DNN using Customized RISC-V Core
Abstract
This paper presents a customized RISC-V core architecture specifically designed for highly efficient and flexible edge inference of mixed-precision quantized Deep Neural Networks (DNNs). The core utilizes specialized instruction set extensions and