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.
翻译:电子设计自动化(EDA)社区一直在积极探索机器学习(ML),用于大规模综合计算机辅助设计(VLSI CAD),许多研究探索了设计流程中跨阶段预测任务的学习技术,以便更快地实现设计趋同,虽然建立ML模型通常需要大量数据,但大多数研究只能产生小型内部数据集,供验证,因为缺少大型公共数据集。在本论文中,我们介绍了第一个在VLSI CAD中用于ML任务的开放源数据集,称为CirectrontNet。