Recent advancements in machine learning provide an opportunity to transform chip design workflows. We review recent research applying techniques such as deep convolutional neural networks and graph-based neural networks in the areas of automatic design space exploration, power analysis, VLSI physical design, and analog design. We also present a future vision of an AI-assisted automated chip design workflow to aid designer productivity and automate optimization tasks.

中文翻译：

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利用机器学习加速芯片设计

机器学习的最新进展为改变芯片设计工作流程提供了机会。我们回顾了最近在自动设计空间探索、功耗分析、VLSI 物理设计和模拟设计领域应用深度卷积神经网络和基于图的神经网络等技术的研究。我们还提出了人工智能辅助自动化芯片设计工作流程的未来愿景，以帮助设计人员提高生产力并自动执行优化任务。