Web: http://arxiv.org/abs/2208.01040

Aug. 5, 2022, 1:11 a.m. | Zhuomin Chai, Yuxiang Zhao, Yibo Lin, Wei Liu, Runsheng Wang, Ru Huang

cs.LG updates on arXiv.org arxiv.org

The electronic design automation (EDA) community has been actively exploring
machine learning for very-large-scale-integrated computer aided design (VLSI
CAD). Many studies have explored learning based techniques for cross-stage
prediction tasks in the design flow to achieve faster design convergence.
Although building machine learning (ML) models usually requires a large amount
of data, most studies can only generate small internal datasets for validation
due to the lack of large public datasets. In this essay, we present the first
open-source dataset for …

applications arxiv automation dataset design eda electronic learning lg machine machine learning open

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