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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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