Device Placement Optimization Based on Sequential Q-Learning Using Local Layout Effect Surrogate Models

• Published in: Journal of semiconductor technology and science Vol. 25; no. 1; pp. 82 - 93
• Main Authors: Kang, KwonWoo, Kim, SoYoung
• Format: Journal Article
• Language: English
• Published: 대한전자공학회 01.02.2025
• Subjects: 전기공학

An automatic methodology is proposed to optimize analog device placement using reinforcement learning (RL). Device characteristics are influenced by local layout effects and the process node used; hence, physical layout information from post-layout simulation acts as the input for an artificial neur...