Sept. 2, 2022, 1:12 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 (ML) for very large-scale integrated computer-aided design
(VLSI CAD). Many studies explored learning-based techniques for cross-stage
prediction tasks in the design flow to achieve faster design convergence.
Although building ML models usually requires a large amount of data, most
studies can only generate small internal datasets for validation because of the
lack of large public datasets. In this essay, we present the first open-source
dataset called CircuitNet for …

applications arxiv automation dataset design eda electronic learning machine machine learning

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