AMG: Automated Efficient Approximate Multiplier Generator for FPGAs via Bayesian Optimization

Zhen Li, Hao Zhou, Lingli Wang

Approximate computing is a promising approach to reduce the power, delay, and area in hardware design for many error-resilient applications such as machine learning (ML) and digita…