Hierarchical Optimization based on Partial Performance Tradeoff Modeling Method for Large Scale Analog Circuits

In this paper, a partial performance tradeoff modeling method is proposed for the hierarchical optimization of large analog systems. The key idea is to extract partial Pareto front model around the optimized block-level target performances instead of extracting the complete one. An iterative method based on Bayesian optimization is further proposed to update the partial model and, simultaneously, optimize the entire system. Our experimental results demonstrate that compared to the state-of- the-art methods, our proposed method can achieve a 3.0 x cost reduction without surrendering any performances.