ARTFEED — Contemporary Art Intelligence

MappingEvolve: LLM-Driven Code Evolution for Technology Mapping

ai-technology · 2026-04-30

MappingEvolve is an open-source framework that uses large language models (LLMs) to directly evolve technology mapping code in logic synthesis. The method abstracts the mapping process into optimization operators and employs a hierarchical agent-based architecture with a Planner, Evolver, and Evaluator. Experiments show a 10.04% area reduction over ABC and 7.93% over mockturtle, with 46.6%–96.0% S_overall improvement on EPFL benchmarks, while navigating the area–delay trade-off. The code and data are available on arXiv.

Key facts

  • MappingEvolve is an open-source framework
  • Uses LLMs to evolve technology mapping code
  • Abstracts mapping into optimization operators
  • Hierarchical agent-based architecture: Planner, Evolver, Evaluator
  • 10.04% area reduction vs ABC
  • 7.93% area reduction vs mockturtle
  • 46.6%–96.0% S_overall improvement on EPFL benchmarks
  • Navigates area–delay trade-off

Entities

Institutions

  • arXiv

Sources