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Исследования2026年9月22日

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…

Qiufeng Li, Chengxuan Wang, Rongqian Chen, Quan Cheng, Yihui Ren, Chia-Tung Ho, David Z. Pan, Tian Lan, Weidong Cao·arXiv — cs.AI
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Key Takeaways
  • 01.Automated macro placement remains a fundamental challenge in VLSI physical design
  • 02.Despite decades of research, existing approaches predominantly optimize hand-crafted proxy objectives, such as estimated wirelength, and typically produce placements through one-shot numerical…

This material is provided as an extended analytical summary.

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