MappingEvolve: LLM-Driven Code Evolution for Technology Mapping
Technology mapping is a critical yet challenging stage in logic synthesis. While Large Language Models (LLMs) have been applied to generate optimization scripts, their potential for core algorithm enhancement remains untapped. We introduce MappingEvolve, an open-source framework that pioneers the use of LLMs to directly evolve technology mapping code. Our method abstracts the mapping process into distinct optimization operators and employs a hierarchical agent-based architecture, comprising a Planner, Evolver, and Evaluator, to guide the evolutionary search. This structured approach enables strategic and effective code modifications. Experiments show our method significantly outperforms d...
| Authors | Rongliang Fu, Yi Liu, Qiang Xu et al. |
|---|---|
| Primary category | cs.CE |
| Published | 29 April 2026 |
| Last updated at source | 29 April 2026 |
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