AMG: Automated Efficient Approximate Multiplier Generator for FPGAs via Bayesian Optimization
AMG: Automated Efficient Approximate Multiplier Generator for FPGAs via Bayesian Optimization
We propose AMG, an open-source automated approximate multiplier generator for FPGAs driven by Bayesian optimization (BO) with parallel evaluation. The proposed method simplifies the exact half adders (HAs) for the initial partial product (PP) compression in a multiplier while preserving coarse-grained additions for the following accumulation. The generated multipliers can …