Find a interesting repo may contribute to this repo.
EvoPlace try to use LLM to generate EDA Placement heuristics. Which is quite fit this benchmarks requirement.
And In this work, they also try to use a existing codebase DREAMPlace and MMS benchmarks. Also Placement have a evaluation metrics.
They have a paper Evolution of Optimization Algorithms for Global Placement via Large Language Models to entail their methods.
Hope we can contribute to this project.
Find a interesting repo may contribute to this repo.
EvoPlace try to use LLM to generate EDA Placement heuristics. Which is quite fit this benchmarks requirement.
And In this work, they also try to use a existing codebase DREAMPlace and MMS benchmarks. Also Placement have a evaluation metrics.
They have a paper Evolution of Optimization Algorithms for Global Placement via Large Language Models to entail their methods.
Hope we can contribute to this project.