ATOM: An Automatic Topology Synthesis Framework for Operational Amplifiers

作者：Juanyan Shen, Fan Yang, Li Shang, Changhao Yan, Zhaori Bi, Dian Zhou, Xuan Zeng · 发表于：IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · 年份：2024 · DOI：10.1109/tcad.2024.3463534 · 被引用次数：7 · 研究领域：VLSI and FPGA Design Techniques、Embedded Systems Design Techniques、Evolutionary Algorithms and Applications

Bayesian optimization (BO) is more efficient in automatically synthesizing operational amplifier (opamp) topologies compared to conventional methods. However, the design space for behavior-level opamp topologies involves numerous connections that are difficult to comprehend, and evaluating each topology incurs substantial computational costs. To tackle these challenges, this brief introduces ATOM, an automatic opamp topology synthesis framework. We construct a concise design space for behavior-level opamp topologies, consisting of topologies that designers can easily understand. We propose an opamp topology optimization method that incorporates freeze-thaw BO. This method efficiently explores the design space and expedites the evaluation process. Experimental studies demonstrate that ATOM outperforms state-of-the-art topology synthesis methods in terms of success rate and optimization results while reducing the number of required simulations by up to 8.15 times. The source code for ATOM is available athttps://github.com/Jinyi-Shen/ATOM.