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OLLA: Optimizing the Lifetime and Location of Arrays to Reduce the Memory Usage of Neural Networks


Nov 02, 2022
Benoit Steiner, Mostafa Elhoushi, Jacob Kahn, James Hegarty


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SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems


Oct 22, 2022
Aaron Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian


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LoopStack: a Lightweight Tensor Algebra Compiler Stack


May 02, 2022
Bram Wasti, José Pablo Cambronero, Benoit Steiner, Hugh Leather, Aleksandar Zlateski


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Flashlight: Enabling Innovation in Tools for Machine Learning


Jan 29, 2022
Jacob Kahn, Vineel Pratap, Tatiana Likhomanenko, Qiantong Xu, Awni Hannun, Jeff Cai, Paden Tomasello, Ann Lee, Edouard Grave, Gilad Avidov, Benoit Steiner, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert


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CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research


Sep 17, 2021
Chris Cummins, Bram Wasti, Jiadong Guo, Brandon Cui, Jason Ansel, Sahir Gomez, Somya Jain, Jia Liu, Olivier Teytaud, Benoit Steiner, Yuandong Tian, Hugh Leather

* 12 pages. Source code available at https://github.com/facebookresearch/CompilerGym 

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Using Graph Neural Networks to model the performance of Deep Neural Networks


Aug 27, 2021
Shikhar Singh, Benoit Steiner, James Hegarty, Hugh Leather


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Learning Space Partitions for Path Planning


Jul 14, 2021
Kevin Yang, Tianjun Zhang, Chris Cummins, Brandon Cui, Benoit Steiner, Linnan Wang, Joseph E. Gonzalez, Dan Klein, Yuandong Tian


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Value Function Based Performance Optimization of Deep Learning Workloads


Nov 30, 2020
Benoit Steiner, Chris Cummins, Horace He, Hugh Leather


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PyTorch: An Imperative Style, High-Performance Deep Learning Library


Dec 03, 2019
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Köpf, Edward Yang, Zach DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala

* 12 pages, 3 figures, NeurIPS 2019 

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