March 28, 2024, 4:41 a.m. | Yuxiang Zhao, Zhuomin Chai, Xun Jiang, Yibo Lin, Runsheng Wang, Ru Huang

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.18569v1 Announce Type: new
Abstract: IR drop on the power delivery network (PDN) is closely related to PDN's configuration and cell current consumption. As the integrated circuit (IC) design is growing larger, dynamic IR drop simulation becomes computationally unaffordable and machine learning based IR drop prediction has been explored as a promising solution. Although CNN-based methods have been adapted to IR drop prediction task in several works, the shortcomings of overlooking PDN configuration is non-negligible. In this paper, we consider …

abstract arxiv cnn consumption cs.ai cs.lg current delivery design dynamic gnn machine machine learning network power prediction simulation type

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