Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer

In modern chip design, placement aims at placing millions of circuit modules, which is an essential step that significantly influences power, performance, and area (PPA) metrics. Recently, reinforcement learning (RL) has emerged as a promising technique for improving placement quality, especially ma...

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Veröffentlicht in:	arXiv.org 2024-12
Hauptverfasser:	Xue, Ke, Ruo-Tong, Chen, Lin, Xi, Shi, Yunqi, Shixiong Kai, Xu, Siyuan, Chao, Qian
Format:	Artikel
Sprache:	eng
Schlagworte:	Design optimization Placement Regularity
Online-Zugang:	Volltext
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