Search Results for author: Elias Fallon

Found 6 papers, 0 papers with code

Hierarchical Automatic Power Plane Generation with Genetic Optimization and Multilayer Perceptron

no code implementations28 Oct 2022 Haiguang Liao, Vinay Patil, Xuliang Dong, Devika Shanbhag, Elias Fallon, Taylor Hogan, Mirko Spasojevic, Levent Burak Kara

Our automatic power plane generation approach is based on genetic optimization combined with a multilayer perceptron and is able to automatically generate power planes across a diverse set of problems with varying levels of difficulty.

Contour Detection

Automatic Routability Predictor Development Using Neural Architecture Search

no code implementations3 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

Placement in Integrated Circuits using Cyclic Reinforcement Learning and Simulated Annealing

no code implementations15 Nov 2020 Dhruv Vashisht, Harshit Rampal, Haiguang Liao, Yang Lu, Devika Shanbhag, Elias Fallon, Levent Burak Kara

Physical design and production of Integrated Circuits (IC) is becoming increasingly more challenging as the sophistication in IC technology is steadily increasing.

reinforcement-learning Reinforcement Learning (RL)

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

no code implementations26 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)

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

no code implementations20 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)

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