Yushu Liang

Improving chip macro placement via GFlowNet-guided tree search

This study addresses the long-standing challenge of a core task in chip physical design, termed macro placement. The problem is characterized by an enormous combinatorial search space and a highly multimodal cost landscape. While recent learning-based approaches have shown promise, reinforcement-learning rollouts often...