Thierry Moreau

Deep Learning Systems Researcher and Ph.D. Candidate

Allen School of Computer Science, SAMPL Research Group

moreau@uw.edu

Curriculum Vitae

me

About me

Research Interests

Conference and Workshop Papers

Learning to Optimize Tensor Programs. Tianqi Chen, Lianmin Zheng, Eddie Yan, Ziheng Jiang, Thierry Moreau, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy. To appear at NIPS 2018.

Towards Reproducible and Reusable Deep Learning Systems Research Artifact Evaluation. Thierry Moreau, Anton Lokhmotov, Grigori Fursin. To appear at MLOSS 2018 (co-located with NIPS).

TVM: An Automated End-to-End Optimizing Compiler for Deep Learning. Tianqi Chen, Thierry Moreau, Ziheng Jiang, Lianmin Zheng, Eddie Yan, Haichen Shen, Meghan Cowan, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy. In OSDI 2018.

MATIC: Learning Around Errors for Efficient Low-Voltage Neural Network Accelerators. Sung Kim, Patrick Howe, Thierry Moreau, Armin Alaghi, Luis Ceze and Visvesh Sathe. In DATE 2018 (application track best paper!).

TVM: End-to-End Compilation Stack for Deep Learning. Tianqi Chen, Thierry Moreau, Ziheng Jiang, Haichen Shen, Eddie Yan, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy. In SysML Conference 2018 (one of six contributed talks!).

Exploring Quality-Energy Tradeoffs with Arbitrary Quantization. Thierry Moreau, Felipe Augusto, Patrick Howe, Armin Alaghi, Luis Ceze. In CODES+ISSS 2017 (special session). [slides]

Exploring Computation-Communication Tradeoffs in Camera Systems. Amrita Mazumdar, Thierry Moreau, Sung Kim, Meghan Cowan, Armin Alaghi, Luis Ceze, Mark Oskin, Visvesh Sathe. In IISWC 2017.

Approximating to the Last Bit. Thierry Moreau, Adrian Sampson, Luis Ceze, and Mark Oskin. In WAX 2016 (co-located with ASPLOS). [slides]

Compilation and Hardware Support for Approximate Acceleration. Thierry Moreau, Adrian Sampson, Andre Baixo, Mark Wyse, Ben Ransford, Jacob Nelson, Luis Ceze, and Mark Oskin. In TECHCON 2015. [slides]

REACT: A Framework for Rapid Exploration of Approximate Computing Techniques. Mark Wyse, Andre Baixo, Thierry Moreau, Bill Zorn, James Bornholt, Adrian Sampson, Luis Ceze, and Mark Oskin. In WAX 2015 (co-located with PLDI).

SNNAP: Approximate Computing on Programmable SoCs via Neural Acceleration. Thierry Moreau, Mark Wyse, Jacob Nelson, Adrian Sampson, Hadi Esmaeilzadeh, Luis Ceze, and Mark Oskin. In HPCA 2015. [slides]

Journal and Magazine Articles

Energy-Efficient Neural Network Acceleration in the Presence of Bit-Level Memory Errors. Sung Kim, Patrick Howe, Thierry Moreau, Armin Alaghi, Luis Ceze and Visvesh Sathe. In IEEE Transactions on Circuits and Systems, December 2018.

A Taxonomy of Approximate Computing Techniques. Thierry Moreau, Joshua San Miguel, Mark Wyse, James Bornholt, Armin Alaghi, Luis Ceze, Natalie Enright Jerger and Adrian Sampson. In IEEE Embedded Systems Letter, October 2017.

Approximate Computing: Making Mobile Systems More Efficient. Thierry Moreau, Adrian Sampson, and Luis Ceze. In IEEE Pervasive Computing, April 2015.

Tech Reports

Automating Generation of Low Precision Deep Learning Operators. Meghan Cowan, Thierry Moreau, Tianqi Chen, Luis Ceze. arXiv:1810.11066.

Exploiting Errors for Efficiency: A Survey from Circuits to Algorithms. Phillip Stanley-Marbell, Armin Alaghi, Michael Carbin, Eva Darulova, Lara Dolecek, Andreas Gerstlauer, Ghayoor Gillani, Djordje Jevdjic, Thierry Moreau, Mattia Cacciotti, Alexandros Daglis, Natalie Enright Jerger, Babak Falsafi, Sasa Misailovic, Adrian Sampson, Damien Zufferey. arXiv:1809.05859.

VTA: An Open Hardware-Software Stack for Deep Learning. Thierry Moreau, Tianqi Chen, Ziheng Jiang, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy. arXiv:1807.04188.

QAPPA: A Framework for Navigating Quality-Energy Tradeoffs with Arbitrary Quantization. Thierry Moreau, Felipe Augusto, Patrick Howe, Armin Alaghi, Luis Ceze. UW-CSE Tech Report (UW-CSE-17-03-02).

ACCEPT: A Programmer-Guided Compiler Framework for Practical Approximate Computing. Adrian Sampson, Andre Baixo, Benjamin Ransford, Thierry Moreau, Joshua Yip, Luis Ceze and Mark Oskin. UW-CSE Tech Report (UW-CSE-15-01-01).

Teaching

CSE599S: Hardware/Software Co-Optimization for Machine Learning, Spring 2018, Co-Instructor, with Luis Ceze.

CSE548: Computer Architecture, Spring 2017, head Teaching-Assistant, with Luis Ceze.

CSE352: Hardware Design and Implementation, Spring 2013, head Teaching-Assistant, with Mark Oskin.

Funding

My work is generously supported by the Center for Future Architectures Research, the Qualcomm Innovation Fellowship, the National Sciences and Engineering Research Council of Canada and the Weil Family Endowed Fellowship.