AI RESEARCH
Physics-Guided Geometric Diffusion for Macro Placement Generation
arXiv CS.LG
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ArXi:2605.16451v1 Announce Type: new Macro placement is a pivotal stage in VLSI physical design, fundamentally determining the overall chip performance. Recent data-driven placement methods have nstrated significant potential, yet they often struggle to handle sequential dependencies and to balance topological connectivity with physical constraints. To bridge this gap, we propose MacroDiff+, a physics-guided geometric diffusion framework.