Presentation
DRCGen: A Controllable DRC Violation Case Generator with Cross-PDK Transferability for Rule-Deck and Tool Validation
DescriptionVLSI layout pattern generation plays a crucial role in design for manufacturability (DFM). Patterns that incorporate specific design rule checking (DRC) violations are valuable for applications such as foundry design-rule deck development, EDA tool validation, and generating training data for AI-based DRC research. However, existing research primarily focuses on producing DRC-clean layouts by enforcing rule compliance through constraints or filtering, while ignoring the generation of controllable violations. To address this gap, we propose DRCGen, a controllable framework for generating DRC violation patterns with cross-PDK transferability. DRCGen is based on a diffusion model with conditional control, generating structured control hints to encode spatial and semantic violation information for fine-tuning the model. The model can generate violation patterns of user-specified types within a target
region based on a natural-language prompt, while maintaining DRC-compliance outside the region. Additionally, we incorporate few-shot learning to facilitate rapid transfer across different PDKs. Experimental results show that, compared to state-of-the-art methods, our approach achieves a 2.27× increase in topological diversity and a 1.02× increase in geometric diversity. Compared to Calibre LSG, we achieve 3.31× and 1.15× improvements in topological and geometric diversity, respectively.
region based on a natural-language prompt, while maintaining DRC-compliance outside the region. Additionally, we incorporate few-shot learning to facilitate rapid transfer across different PDKs. Experimental results show that, compared to state-of-the-art methods, our approach achieves a 2.27× increase in topological diversity and a 1.02× increase in geometric diversity. Compared to Calibre LSG, we achieve 3.31× and 1.15× improvements in topological and geometric diversity, respectively.
Event Type
Research Manuscript
TimeTuesday, July 284:42pm - 4:54pm PDT
LocationMtg Room 202AB