Conceptual diagram of Rule2DRCThe system converts natural-language semiconductor design rules into DRC scripts using an LLM agent, then executes the generated scripts on chip layouts and compares violation results with ground truth to evaluate accuracy. Credit: Seoul National University College of Engineering
A research team led by Hyun Oh Song, a professor in Seoul National University College of Engineering's Department of Computer Science and Engineering, in collaboration with Samsung AI Center, has developed "Rule2DRC," an AI agent technology that automatically generates inspection codes required for semiconductor design verification.
Before fabrication, semiconductor chips must undergo a Design Rule Check (DRC) to verify compliance with thousands of design rules. This process requires converting natural-language design rules into machine-executable DRC scripts, a highly complex task traditionally performed manually by expert engineers.
To address this challenge, the team developed Rule2DRC, a large-scale benchmark that evaluates AI's ability to translate human-written design rules into executable verification scripts.
The system goes beyond static comparison by executing AI-generated scripts on real verification engines to assess functional correctness. This work is expected to significantly reduce the cost and labor involved in repetitive semiconductor verification tasks and open new possibilities for AI-driven automation in chip design workflows.
