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arXiv — cs.AI

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PlaceReasoner-Beta: Reasoning-Driven Macro Placement and Benchmarking

Automated macro placement remains a fundamental challenge in VLSI physical design. Despite decades of research, existing approaches predominantly optimize hand-crafted proxy objectives, such as estimated wirelength, and typically produce placements through one-shot numerical…

arXiv — cs.AIBy: Qiufeng Li, Chengxuan Wang, Rongqian Chen, Quan Cheng, Yihui Ren, Chia-Tung Ho, David Z. Pan, Tian Lan, Weidong CaoSeptember 22, 2026 (Sep 22)
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  • Automated macro placement remains a fundamental challenge in VLSI physical design
  • Despite decades of research, existing approaches predominantly optimize hand-crafted proxy objectives, such as estimated wirelength, and typically produce placements through one-shot numerical…
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PlaceReasoner-Beta: Reasoning-Driven Macro Placement and Benchmarking

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