@inproceedings{2214a55d0b574932b10f49ed90364572,
title = "Hybrid Modeling and Weighting for Timing-driven Placement with Efficient Calibration",
abstract = "Placement is a crucial step in the physical synthesis flow that significantly determines the timing performance of a design. In this paper, we propose a timing-driven global placement framework with a hybrid pin-based weighting scheme that considers both graph and path information and an optimization-friendly RC tree and wirelength model. A calibration method is proposed to further improve the incremental timing. Experiment results show over 37\% improvement on TNS and 15\% improvement on WNS, with 4.2\% less HPWL on the ICCAD 2015 benchmark compared to the state-ofthe-art GPU-accelerated differentiable timing-driven placer, while also being around 2x faster.",
keywords = "GPU Acceleration, Global placement, Physical design, Timing",
author = "Bangqi Fu and Lixin Liu and Wong, \{Martin D.F.\} and Young, \{Evangeline F.Y.\}",
note = "Publisher Copyright: {\textcopyright} 2024 Copyright is held by the owner/author(s).; 43rd International Conference on Computer-Aided Design, ICCAD 2024 ; Conference date: 27-10-2024 Through 31-10-2024",
year = "2025",
month = apr,
day = "9",
doi = "10.1145/3676536.3676803",
language = "English (US)",
series = "IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2024",
address = "United States",
}