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This paper introduces PlaceReasoner-Beta, a verifier-guided multi-agent framework that reformulates macro placement as a reasoning problem for VLSI physical design, achieving significant improvements in timing and wirelength. It also presents PlaceReasoner-Bench, an open benchmark for evaluating methods using routed PPA and DRC.
MAGE is a multimodal multi-agent framework that improves macro placement in VLSI physical design by combining structured floorplanning rules, visual checks, and iterative refinement, outperforming commercial placers and human experts on timing metrics.
Proposes MacroDiff+, a physics-guided geometric diffusion framework for macro placement in VLSI design, achieving 6.1–6.2% wirelength reduction on ISPD2005 benchmarks with superior stability and scalability.