Attention Routing: track-assignment detailed routing using attention-based reinforcement learning

no code implementations • 20 Apr 2020 • Haiguang Liao, Qingyi Dong, Xuliang Dong, Wentai Zhang, Wangyang Zhang, Weiyi Qi, Elias Fallon, Levent Burak Kara

We also discover a similarity between the attention router and the baseline genetic router in terms of positive correlations in cost and routing patterns, which demonstrate the attention router's ability to be utilized not only as a detailed router but also as a predictor for routability and congestion.

reinforcement-learning Reinforcement Learning (RL)

Track-Assignment Detailed Routing Using Attention-based Policy Model With Supervision

no code implementations • 26 Oct 2020 • Haiguang Liao, Qingyi Dong, Weiyi Qi, Elias Fallon, Levent Burak Kara

The key advantage of this approach is that the router can learn a policy in an offline setting with supervision, while improving the run-time performance nearly 100x over the genetic solver.

Reinforcement Learning (RL)

Automatic Routability Predictor Development Using Neural Architecture Search

no code implementations • 3 Dec 2020 • Chen-Chia Chang, Jingyu Pan, Tunhou Zhang, Zhiyao Xie, Jiang Hu, Weiyi Qi, Chun-Wei Lin, Rongjian Liang, Joydeep Mitra, Elias Fallon, Yiran Chen

The rise of machine learning technology inspires a boom of its applications in electronic design automation (EDA) and helps improve the degree of automation in chip designs.

BIG-bench Machine Learning Neural Architecture Search