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Relay: A High-Level IR for Deep Learning

Apr 17, 2019
Jared Roesch, Steven Lyubomirsky, Marisa Kirisame, Josh Pollock, Logan Weber, Ziheng Jiang, Tianqi Chen, Thierry Moreau, Zachary Tatlock

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Learning to Optimize Tensor Programs

Oct 27, 2018
Tianqi Chen, Lianmin Zheng, Eddie Yan, Ziheng Jiang, Thierry Moreau, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy

* NIPS 2018 

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Automating Generation of Low Precision Deep Learning Operators

Oct 25, 2018
Meghan Cowan, Thierry Moreau, Tianqi Chen, Luis Ceze

* 10 pages, 11 figures 

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TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

Oct 05, 2018
Tianqi Chen, Thierry Moreau, Ziheng Jiang, Lianmin Zheng, Eddie Yan, Meghan Cowan, Haichen Shen, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy

* Significantly improved version, add automated optimization 

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VTA: An Open Hardware-Software Stack for Deep Learning

Jul 11, 2018
Thierry Moreau, Tianqi Chen, Ziheng Jiang, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy

* 16 pages, 2 reference pages, 16 figures 

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MATIC: Learning Around Errors for Efficient Low-Voltage Neural Network Accelerators

Mar 23, 2018
Sung Kim, Patrick Howe, Thierry Moreau, Armin Alaghi, Luis Ceze, Visvesh Sathe

* 6 pages, 12 figures, 3 tables. Published at Design, Automation and Test in Europe Conference and Exhibition (DATE) 2018 

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Introducing ReQuEST: an Open Platform for Reproducible and Quality-Efficient Systems-ML Tournaments

Jan 19, 2018
Thierry Moreau, Anton Lokhmotov, Grigori Fursin

* ReQuEST tournament website: 

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