CircuitNet: An Open-Source Dataset for Machine Learning Applications in Electronic Design Automation (EDA)
This provides a foundational resource for the EDA community to develop and validate ML models, addressing a key bottleneck in the field.
The paper tackles the lack of large public datasets for machine learning in electronic design automation by introducing CircuitNet, the first open-source dataset for VLSI CAD tasks.
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.