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Pytorch: An imperative style, high-performance deep learning library A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... Advances in neural information processing systems 32, 2019 | 18256 | 2019 |

TensorFlow: Large-scale machine learning on heterogeneous systems M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... | 13166 | 2015 |

Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv 2016 M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... arXiv preprint arXiv:1603.04467, 2019 | 898 | 2019 |

Advances in neural information processing systems 32 A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... Curran Associates, Inc, 8024-8035, 2019 | 459 | 2019 |

Device placement optimization with reinforcement learning A Mirhoseini, H Pham, QV Le, B Steiner, R Larsen, Y Zhou, N Kumar, ... International Conference on Machine Learning, 2430-2439, 2017 | 365 | 2017 |

TensorFlow: large-scale machine learning on heterogeneous distributed systems (2016) M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... arXiv preprint arXiv:1603.04467 52, 2015 | 327 | 2015 |

Learning to optimize halide with tree search and random programs A Adams, K Ma, L Anderson, R Baghdadi, TM Li, M Gharbi, B Steiner, ... ACM Transactions on Graphics (TOG) 38 (4), 1-12, 2019 | 144 | 2019 |

A hierarchical model for device placement A Mirhoseini, A Goldie, H Pham, B Steiner, QV Le, J Dean International Conference on Learning Representations, 2018 | 127 | 2018 |

12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16) M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ... USENIX Association, TensorFlow: a system for large-scale machine learning …, 2016 | 125 | 2016 |

Pytorch: An imperative style, high-performance deep learning library. arXiv 2019 A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... arXiv preprint arXiv:1912.01703, 1912 | 87 | 1912 |

OSDI’16: Proceedings of the 12th USENIX conference on Operating Systems Design and Implementation M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ... Berkeley: USENIX Association, 265-283, 2016 | 77 | 2016 |

TensorFlow: Large-scale machine learning on heterogeneous systems. arXiv 2016 M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... arXiv preprint arXiv:1603.04467, 2016 | 76 | 2016 |

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i Xiaoqiang Zheng M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... TensorFlow: Large-scale machine learning on heterogeneous systems, 2015 | 24 | 2015 |

Optimized matrix multiplication using vector multiplication of interleaved matrix values N Patil, M Sarett, RK Govindaraju, B Steiner, VO Vanhoucke US Patent 9,645,974, 2017 | 22 | 2017 |

TensorFlow: Large-scale machine learning on heterogeneous systems. tensorflow. org M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... Accessed May 24, 2020, 2015 | 21 | 2015 |

Value learning for throughput optimization of deep learning workloads B Steiner, C Cummins, H He, H Leather Proceedings of Machine Learning and Systems 3, 323-334, 2021 | 15 | 2021 |

Tensorflow: A system for large-scale machine learning. CoRR abs/1605.08695 (2016) M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ... URL http://arxiv. org/abs/1605.08695, 0 | 14 | |

CompilerGym: robust, performant compiler optimization environments for AI research C Cummins, B Wasti, J Guo, B Cui, J Ansel, S Gomez, S Jain, J Liu, ... 2022 IEEE/ACM International Symposium on Code Generation and Optimization …, 2022 | 9 | 2022 |