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arXiv · 2208.01040

CircuitNet: An Open-Source Dataset for Machine Learning Applications in Electronic Design Automation (EDA)

Zhuomin Chai·Yuxiang Zhao·Yibo Lin·Wei Liu·Runsheng Wang·Ru Huang
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Abstract

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 ML tasks in VLSI CAD.

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Zhuomin Chai, Yuxiang Zhao, Yibo Lin, Wei Liu, Runsheng Wang, Ru Huang. 2022-08-01. CircuitNet: An Open-Source Dataset for Machine Learning Applications in Electronic Design Automation (EDA). https://doi.org/10.1007/s11432-022-3571-8.

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