Название: Efficient Analog Integrated Circuit Sizing with GenAIАвтор: Pedro H.M. Eid, Filipe P. Azevedo, Nuno C.C. Lourenço, Ricardo M.F. Martins
Издательство: Springer
Год: 2025
Страниц: 92
Язык: английский
Формат: pdf (true), epub
Размер: 21.8 MB
This book focuses on the automation of analog integrated circuit design, particularly the sizing process. It introduces an innovative approach leveraging Generative Artificial Intelligence, specifically denoising diffusion probabilistic models (DDPM). The proposed methodology provides a robust solution for generating circuit designs that meet specific performance constraints, offering a significant improvement over conventional techniques. By integrating advanced Machine Learning models into the design workflow, the book showcases a transformative way to streamline the process while maintaining accuracy and reliability. This work introduces a novel approach based on state-of-the-art Generative Artificial Intelligence to automate the design process, by leveraging diffusion models to enhance the existing ANNs-based framework and address the limitations of previous methodologies. Specifically, Denoising Diffusion Probabilistic Models (DDPM) to tackle the inverse problem of circuit sizing.
