Reinforcement Learning for Electronic Design Automation: Case Studies and Perspectives: (Invited Paper)

Author:

Budak Ahmet F.1,Jiang Zixuan1,Zhu Keren1,Mirhoseini Azalia2,Goldie Anna2,Pan David Z.1

Affiliation:

1. The University of Texas at Austin

2. Google

Funder

NSF

Publisher

IEEE

Reference25 articles.

1. Device placement optimization with reinforcement learning;mirhoseini;Proceedings of the 34th International Conference on Machine Learning,2017

2. A Hierarchical Model for Device Placement;mirhoseini;International Conference on Learning Representations,2018

3. Learning Generalizable Device Placement Algorithms for Distributed Machine Learning;addanki;Advances in neural information processing systems,2019

4. Transferable graph optimizers for ML compilers;zhou;CoRR,2020

5. Placement Optimization with Deep Reinforcement Learning

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