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

• URL: http://arxiv.org/abs/2208.01040v2
• Date: Thu, 4 Aug 2022 08:15:56 GMT
• Title: CircuitNet: An Open-Source Dataset for Machine Learning Applications in Electronic Design Automation (EDA)
• Authors: Zhuomin Chai, Yuxiang Zhao, Yibo Lin, Wei Liu, Runsheng Wang, Ru Huang
• Abstract summary: We present the first open-source dataset for machine learning tasks in VLSI CAD called CircuitNet. The dataset consists of more than 10K samples extracted from versatile runs of commercial design tools based on 6 open-source RISC-V designs.
• Score: 9.788869757486289
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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 machine learning tasks in VLSI CAD called CircuitNet. The dataset consists of more than 10K samples extracted from versatile runs of commercial design tools based on 6 open-source RISC-V designs.

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