TY - GEN
T1 - Mitigating Distribution Shift for Congestion Optimization in Global Placement
AU - Zheng, Su
AU - Zou, Lancheng
AU - Liu, Siting
AU - Lin, Yibo
AU - Yu, Bei
AU - Wong, Martin
N1 - This work is supported by The Research Grants Council of Hong Kong SAR (No. CUHK14209420).
PY - 2023
Y1 - 2023
N2 - The placement and routing (PnR) flow plays a critical role in physical design. Poor routing congestion is a possible problem causing severe routing detours, which can lead to deteriorated timing performance or even routing failure. Deep-learning-based congestion prediction model is designed to guide the global placement process in previous work. However, the distribution shift problem in this method limits its performance. In this paper, we mitigate the distribution shift problem with a look-ahead mechanism inspired by optical flow prediction and an invariant feature space learning technique. With the proposed method, we can achieve better congestion prediction performance and less-congested placement results.
AB - The placement and routing (PnR) flow plays a critical role in physical design. Poor routing congestion is a possible problem causing severe routing detours, which can lead to deteriorated timing performance or even routing failure. Deep-learning-based congestion prediction model is designed to guide the global placement process in previous work. However, the distribution shift problem in this method limits its performance. In this paper, we mitigate the distribution shift problem with a look-ahead mechanism inspired by optical flow prediction and an invariant feature space learning technique. With the proposed method, we can achieve better congestion prediction performance and less-congested placement results.
UR - http://www.scopus.com/inward/record.url?scp=85173079089&partnerID=8YFLogxK
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U2 - 10.1109/DAC56929.2023.10247660
DO - 10.1109/DAC56929.2023.10247660
M3 - Conference contribution
AN - SCOPUS:85173079089
T3 - Proceedings - Design Automation Conference
BT - 2023 60th ACM/IEEE Design Automation Conference, DAC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 60th ACM/IEEE Design Automation Conference, DAC 2023
Y2 - 9 July 2023 through 13 July 2023
ER -