5 papers
Simulation-Aware In-Context Policy Improvement for LLM-Aided Analog Layout Refinement
Bingyang Liu, Ziming Wei, Xiaohan Gao +1
Analog IC layout design remains a labor-intensive iterative process dominated by simulation-driven refinement. Although end-to-end layout generators accelerate initial placement an…
PANDA: An LLM-Enhanced Performance-Driven Analog Design Framework Bridging Design Intent and Layout Generation
Haoyi Zhang, Weijian Fan, Xiaohan Gao +3
Traditional design of analog circuits heavily relies on manual interventions across topology, sizing, and layout, with prior automation addressing stages in isolation. In this work…
LayoutCopilot: An LLM-powered Multi-agent Collaborative Framework for Interactive Analog Layout Design
Bingyang Liu, Haoyi Zhang, Xiaohan Gao +5
Analog layout design heavily involves interactive processes between humans and design tools. Electronic Design Automation (EDA) tools for this task are usually designed to use scri…
EasyACIM: An End-to-End Automated Analog CIM with Synthesizable Architecture and Agile Design Space Exploration
Haoyi Zhang, Jiahao Song, Xiaohan Gao +4
Analog Computing-in-Memory (ACIM) is an emerging architecture to perform efficient AI edge computing. However, current ACIM designs usually have unscalable topology and still heavi…
Post-Layout Simulation Driven Analog Circuit Sizing
Xiaohan Gao, Haoyi Zhang, Siyuan Ye +6
Post-layout simulation provides accurate guidance for analog circuit design, but post-layout performance is hard to be directly optimized at early design stages. Prior work on anal…