Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Vol 7 No 2 (2023): Volume 7, Issue 2, February 2023 | Pages: 503-510
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 27-02-2023
Clock Tree Synthesis (CTS) is a critical step in integrated circuit (IC) design, directly influencing timing, power, and signal integrity. Traditional CTS methods face significant challenges in achieving an optimal balance between power and timing constraints, especially in large and complex circuits. This paper presents the application of artificial intelligence (AI) techniques to enhance CTS and ensure robust signal integrity in advanced IC designs. By employing AI-driven optimization algorithms, the proposed framework dynamically adjusts clock tree parameters to achieve an average timing improvement of 46%, with skew reductions as high as 50% in certain test cases. Additionally, the approach minimizes power consumption by over 15% across all circuits, demonstrating its ability to deliver energy-efficient designs. Signal integrity is also significantly improved, with crosstalk violations reduced by an average of 41% and up to 44.44% in specific circuits. These results highlight the capability of the AI-enhanced CTS framework to address complex interdependencies within circuits, ensuring reliable performance across distributed networks. This work contributes a novel and effective AI-based methodology for advancing CTS processes, paving the way for the development of next-generation electronic devices with improved performance and efficiency.
Clock Tree Synthesis (CTS), Signal Integrity Analysis, Artificial Intelligence in IC Design, Timing Optimization, Power Efficiency, AI-Driven Circuit Design
Rashmitha Reddy Vuppunuthula, “AI-Driven Approaches for Clock Tree Synthesis and Signal Integrity Optimization in Integrated Circuits” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 2, pp 503-510, February 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.702084
This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence