ORFS-agent uses LLMs to optimize chip design parameters, improving efficiency

Researchers have developed ORFS-agent, a new system that uses Large Language Models (LLMs) to optimize integrated circuit design parameters. This agent iteratively tunes thousands of parameters, showing improvements in design metrics like wirelength and clock period compared to standard optimization methods. The system demonstrated up to a 2.7% improvement in co-optimization objectives and used 40% fewer iterations, with newer LLM backends like Sonnet 4.6 and Kimi K2.5 outperforming earlier versions. AI

影响 Introduces a novel LLM-based agent for optimizing complex chip design parameters, potentially improving efficiency and design metrics.

排序理由 Academic paper detailing a new LLM-based agent for chip design optimization.

在 arXiv cs.AI 阅读 →

• ASAP7
• Bayesian optimization
• Sonnet 4.6
• Kimi K2.5
• LLM
• ORFS-agent
• SKY130HD
• Sonnet 3.5

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