Jinghua Zhou

Transformer-based Reinforcement Learning for Net Ordering in Detailed Routing

With feature size shrinking and design complexity increasing, detailed routing has become a crucial challenge in VLSI design. Although detailed routers have been proposed to judiciously handle hard-to-access pins and various design rules, their performances are sensitive to the order of nets to be r