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DAC2025顶会

PatLabor: Pareto Optimization of Timing-Driven Routing Trees

Zhiyang Chen, Hailong Yao, Xia Yin

2025年份
1被引次数

摘要

Wirelength is the fundamental metric for VLSI routing. With the advancement of new technologies, wire delay has also become a significant factor for timing performances. It is thus necessary to consider both wirelength and delay in routing tree construction, i.e., timing-driven routing trees. Prior methods propose various heuristics to balance wirelength and delay with a tunable parameter, which cannot compute the full Pareto frontier. In this work, we propose PatLabor, a practical method for timing-driven routing. PatLabor directly optimizes the Pareto set, which obtains tighter Pareto curves than prior methods and does not require parameter tuning. PatLabor obtains all Paretooptimal solutions on small-degree nets up to 9 pins and is theoretically guaranteed by provable time complexity and approximation bounds. Experimental results verify our theoretical findings and show that PatLabor obtains tighter Pareto curves than state-of-the-art methods on ICCAD-15 benchmarks. For example, PatLabor obtains up to 58.5% more Pareto-optimal solutions than prior methods for degree-9 nets.

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