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Delving into Macro Placement with Reinforcement Learning


Sep 06, 2021
Zixuan Jiang, Ebrahim Songhori, Shen Wang, Anna Goldie, Azalia Mirhoseini, Joe Jiang, Young-Joon Lee, David Z. Pan

* Accepted at 3rd ACM/IEEE Workshop on Machine Learning for CAD (MLCAD) 

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A Full-stack Accelerator Search Technique for Vision Applications


May 26, 2021
Dan Zhang, Safeen Huda, Ebrahim Songhori, Quoc Le, Anna Goldie, Azalia Mirhoseini


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Transferable Graph Optimizers for ML Compilers


Oct 21, 2020
Yanqi Zhou, Sudip Roy, Amirali Abdolrashidi, Daniel Wong, Peter Ma, Qiumin Xu, Hanxiao Liu, Mangpo Phitchaya Phothilimtha, Shen Wang, Anna Goldie, Azalia Mirhoseini, James Laudon

* NeurIPS 2020 
* arXiv admin note: text overlap with arXiv:1910.01578 

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Chip Placement with Deep Reinforcement Learning


Apr 22, 2020
Azalia Mirhoseini, Anna Goldie, Mustafa Yazgan, Joe Jiang, Ebrahim Songhori, Shen Wang, Young-Joon Lee, Eric Johnson, Omkar Pathak, Sungmin Bae, Azade Nazi, Jiwoo Pak, Andy Tong, Kavya Srinivasa, William Hang, Emre Tuncer, Anand Babu, Quoc V. Le, James Laudon, Richard Ho, Roger Carpenter, Jeff Dean


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Placement Optimization with Deep Reinforcement Learning


Mar 18, 2020
Anna Goldie, Azalia Mirhoseini

* International Symposium on Physical Design (ISPD), 2020 

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Generalized Clustering by Learning to Optimize Expected Normalized Cuts


Oct 16, 2019
Azade Nazi, Will Hang, Anna Goldie, Sujith Ravi, Azalia Mirhoseini


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GDP: Generalized Device Placement for Dataflow Graphs


Sep 28, 2019
Yanqi Zhou, Sudip Roy, Amirali Abdolrashidi, Daniel Wong, Peter C. Ma, Qiumin Xu, Ming Zhong, Hanxiao Liu, Anna Goldie, Azalia Mirhoseini, James Laudon


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Reinforcement Learning Driven Heuristic Optimization


Jun 16, 2019
Qingpeng Cai, Will Hang, Azalia Mirhoseini, George Tucker, Jingtao Wang, Wei Wei

* DRL4KDD'19 

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GAP: Generalizable Approximate Graph Partitioning Framework


Mar 02, 2019
Azade Nazi, Will Hang, Anna Goldie, Sujith Ravi, Azalia Mirhoseini


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Deep Mixture of Experts via Shallow Embedding


Jun 05, 2018
Xin Wang, Fisher Yu, Ruth Wang, Yi-An Ma, Azalia Mirhoseini, Trevor Darrell, Joseph E. Gonzalez

* 14 pages, 8 figures, under review at NIPS 2018 

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Device Placement Optimization with Reinforcement Learning


Jun 25, 2017
Azalia Mirhoseini, Hieu Pham, Quoc V. Le, Benoit Steiner, Rasmus Larsen, Yuefeng Zhou, Naveen Kumar, Mohammad Norouzi, Samy Bengio, Jeff Dean

* To appear at ICML 2017 

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Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer


Jan 23, 2017
Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc Le, Geoffrey Hinton, Jeff Dean


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RankMap: A Platform-Aware Framework for Distributed Learning from Dense Datasets


Oct 27, 2016
Azalia Mirhoseini, Eva L. Dyer, Ebrahim. M. Songhori, Richard G. Baraniuk, Farinaz Koushanfar

* 13 pages, 10 figures 

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oASIS: Adaptive Column Sampling for Kernel Matrix Approximation


May 19, 2015
Raajen Patel, Thomas A. Goldstein, Eva L. Dyer, Azalia Mirhoseini, Richard G. Baraniuk


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