Presentation
Moduplace: LLM-Assisted Modular PCB Placement via Preference-Optimized Constraint Graph Generation
DescriptionDespite the existence of various automated PCB placement frameworks, the industry still relies heavily on human engineers. This is because these frameworks cannot perform placement according to specific user requirements and preferences, which limits their flexibility and industrial adoption. Moreover, the existing frameworks lack a modular perspective in placement, resulting in outputs that often perform poorly and fail to meet practical requirements. To address these problems, we propose ModuPlace, leveraging the powerful capabilities of LLMs to perform modular PCB placement with preference-optimized constraint graph generation. In ModuPlace, the entire component set is partitioned into modules at different granularities, enabling hierarchical and modular placement. Moreover, ModuPlace utilizes fine-tuning and preference optimization to enhance the quality of constraint graph generation and align the results with those of human experts. Experimental results demonstrate that ModuPlace outperforms all baselines, achieving superior placement quality across all metrics.
Event Type
Research Manuscript
TimeTuesday, July 284:18pm - 4:30pm PDT
LocationMtg Room 203AB