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Power Distribution Network Generation for Optimizing IR-Drop Aware Timing
會議論文集

Power Distribution Network Generation for Optimizing IR-Drop Aware Timing

Wen-Hsiang Chang, Li-Yi Lin, Yu-Guang Chen 和 Mango C.-T. Chao
Digest of technical papers - IEEE/ACM International Conference on Computer-Aided Design, 卷.2020-, 頁碼.1-9
02/11/2020
Web of Science ID: WOS:000671087100061

摘要

cell placement circuit optimisation commercial EDA tools conventional timing signoff dynamic programming dynamic-programming based algorithm IC timing Indexes industrial design flows integrated circuit design IR-drop aware timing analysis IR-drop aware timing optimization Metals network routing optimal timing-driven PDN power distribution network generation power rail discontinuity Resistance Routing routing overhead minimization size 28.0 nm timing timing-cost indexes timing-violating paths Tools Wires
As supply voltage keeps scaling, the timing of an IC becomes more sensitive to the IR-drop of its power distribution network (PDN). In conventional timing signoff, designers assign a fixed voltage to all cells during the entire analysis process, which leads to over-design since the exact voltages at most cells are larger than the assigned value for timing analysis. To reflect the actual timing of a circuit, IR-drop aware timing analysis should be applied for timing signoff. This paper proposes a framework that can automatically generate a refined PDN for optimizing IR-drop aware timing based on a given initial PDN and cell placement. Our framework uses two novel timing-cost indexes to measure the impact of a PDN on IR-drop aware timing and a novel dynamic-programming based algorithm to obtain an optimal timing-driven PDN while efficiently handling the discontinuity of power rails caused by macros. The experiments based on various 28nm industrial designs demonstrate that our framework can always generate a PDN resulting in less worst-case negative slack, less total negative slack, and less timing-violating paths, compared to a previous work focusing on minimizing routing overhead. Our framework accesses all design information and makes all PDN changes through commercial EDA tools, and hence can be easily integrated into industrial design flows.

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