Analytical Layer Assignment with Simulated Annealing Refinement

Routing is a critical and time-consuming stage in circuit physical design. The typical approach involves 2D routing followed by 3D layer assignment, with most state-of-the-art methods using sequential assignments, which limits the solution space due to the fixed order in which nets are processed. This paper proposes a two-stage layer assignment paradigm inspired by the placement process. First, we apply an analytical method to simultaneously assign layers for all nets, leveraging GPU acceleration to enhance computational efficiency. Then, a simulated annealing algorithm further optimizes the segment assignments. Experimental results show that, compared to state-of-the-art sequential and concurrent layer assignment algorithms, our method reduces via count by 16.9% and 1.5% in global routing and by 5.3% and 3.5% in detailed routing, respectively, with minimal wirelength increases. Additionally, our algorithm achieves the fewest DRC violations across all benchmarks.

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Publication Details

Published
2025-05-25
DOI
https://doi.org/10.1109/iscas56072.2025.11043728
Citations
2
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
2.48

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article

Analytical Layer Assignment with Simulated Annealing Refinement

Zhijie Cai, Xiqiong Bai, Peng Zou, Min Wei et al.
2 citations
Industrial Vision Systems and Defect Detection
2.48
article

Analytical Layer Assignment with Simulated Annealing Refinement

Zhijie Cai, Xiqiong Bai, Peng Zou, Min Wei, Zhifeng Lin, Jianli Chen
article en
2 citations

Abstract

Routing is a critical and time-consuming stage in circuit physical design. The typical approach involves 2D routing followed by 3D layer assignment, with most state-of-the-art methods using sequential assignments, which limits the solution space due to the fixed order in which nets are processed. This paper proposes a two-stage layer assignment paradigm inspired by the placement process. First, we apply an analytical method to simultaneously assign layers for all nets, leveraging GPU acceleration to enhance computational efficiency. Then, a simulated annealing algorithm further optimizes the segment assignments. Experimental results show that, compared to state-of-the-art sequential and concurrent layer assignment algorithms, our method reduces via count by 16.9% and 1.5% in global routing and by 5.3% and 3.5% in detailed routing, respectively, with minimal wirelength increases. Additionally, our algorithm achieves the fewest DRC violations across all benchmarks.

Fudan University (CN), Center for Discrete Mathematics and Theoretical Computer Science (US), Nanjing University of Posts and Telecommunications (CN), Shanghai Fudan Microelectronics (China) (CN), Fuzhou University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Fujian Province, Research and Development
Openalex Percentile: Top 10%
Industrial Vision Systems and Defect Detection
2.48
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Analytical Layer Assignment with Simulated Annealing Refinement — Zhijie Cai, Xiqiong Bai, et al. · (2025) | TGRS Research Map | TGRS