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DR-CircuitGNN: Training Acceleration of Heterogeneous Circuit Graph Neural Network on GPUs

Year: 2025
Type: conference-paper
Abstract: The increasing scale and complexity of integrated circuit design have led to increased challenges in Electronic Design Automation (EDA).Graph Neural Networks (GNNs), have emerged as a promising approach to assist EDA design as circuits can be naturally represented as graph.While GNNs offer a foundation for circuit analysis, they often fail
Authors: Yuebo Luo, Shiyang Li, Junran Tao, Kiran Gautam Thorat, Xi Xie, Hongwu Peng, Nuo Xu, Caiwen Ding, Shaoyi Huang
Language: English
Open Access status: bronze
OpenAlex ID: W4413411834
FWCI:
Cites: 23
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Related to: 10