Variation-aware Analog Circuit Design via Contextual Modeling and Robust Optimization
Robust analog circuit design is becoming increasingly challenging due to process, voltage, and temperature (PVT) variations at advanced technology nodes. In this article, we formulate analog circuit synthesis as a robust optimization problem, and propose a Contextual Robust OptimiZAtion (CROZA) method for variation-aware analog circuit design. The proposed method uses Contextual Gaussian process to model both the design parameters and perturbation parameters, and a hybrid strategy of adversarially robust optimization and stochastically perturbed robust optimization to find robust solutions. Compared to state-of-the-art methods, our proposed approach achieves significant simulation and runtime speedups while delivering superior optimization results.
Authors
- Walter Hu (ORCID: https://orcid.org/0000-0002-6748-1916)
- Changhao Yan (ORCID: https://orcid.org/0000-0002-8936-3945)
- Zhaori Bi (ORCID: https://orcid.org/0000-0002-7315-3150)
- Fan Yang (ORCID: https://orcid.org/0000-0003-2164-8175)
- Dian Zhou (ORCID: https://orcid.org/0000-0002-2648-5232)
- Xuan Zeng (ORCID: https://orcid.org/0000-0002-8097-4053)
- Juanyan Shen (ORCID: https://orcid.org/0009-0009-2362-0361)
- Jiangli Huang (ORCID: https://orcid.org/0000-0001-9111-8474)
- Li Shang (ORCID: https://orcid.org/0009-0005-9216-1921)
Institutions
- Sichuan University (CN)
- Fudan University (CN)
- West China Hospital of Sichuan University (CN)
- Integrated Systems Solutions (United States) (US)
Publication Details
- Journal
- ACM Transactions on Design Automation of Electronic Systems
- Published
- 2025-11-06
- DOI
- https://doi.org/10.1145/3774879
- Primary Topic
- VLSI and FPGA Design Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00