Reproduce “Rethinking LLM-Based RTL Code Optimization Via Timing Logic Metamorphosis” on OpenResearch

About this paper

Zhihao Xu, Bixin Li, Lulu Wang

Researchers at Southeast University empirically investigated Large Language Models' (LLMs) capacity for Register Transfer Level (RTL) code optimization, demonstrating their strong performance in logic and data path transformations, but identifying significant deficiencies in handling and optimizing complex timing control flow and clock domain logic.

Key insights

• LLM-based optimizers exhibit robust performance and even outperform traditional EDA tools in optimizing basic logic operations and data path structures in RTL code.
• A significant limitation of current LLM-based methods is their insufficient understanding of RTL's timing logic, concurrency, and precise clock-cycle semantics, hindering effective optimization of timing control flow and clock domains.
• The inherent struggle of LLMs with temporal reasoning from a linguistic perspective translates directly into their difficulties with hardware-specific sequential and synchronous temporal semantics, necessitating enhanced temporal understanding for future models.

Summary by alphaXiv.