Tensorflow: A system for large-scale machine learning M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ... 12th {USENIX} symposium on operating systems design and implementation …, 2016 | 20071* | 2016 |

TensorFlow: Large-scale machine learning on heterogeneous systems M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... | 9303 | 2015 |

TensorFlow: Large-scale machine learning on heterogeneous systems M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... | 9303 | 2015 |

Pytorch: An imperative style, high-performance deep learning library A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... arXiv preprint arXiv:1912.01703, 2019 | 6673 | 2019 |

TensorFlow: Large-scale machine learning on heterogeneous systems, software available from tensorflow. org (2015) M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... URL https://www. tensorflow. org, 2015 | 337 | 2015 |

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 | 259 | 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 172, 2015 | 230 | 2015 |

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 | 166 | 2019 |

Pytorch: An imperative style, high-performance deep learning library B Steiner, Z DeVito, S Chintala, S Gross, A Paske, F Massa, A Lerer, ... | 105 | 2019 |

Google Brain. TensorFlow: A system for large-scale machine learning M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ... Proceedings of the 12th USENIX Symposium on Operating Systems Design and …, 2016 | 84 | 2016 |

A hierarchical model for device placement A Mirhoseini, A Goldie, H Pham, B Steiner, QV Le, J Dean International Conference on Learning Representations, 2018 | 70 | 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, 265-283, 2016 | 66 | 2016 |

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 | 59 | 2019 |

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 | 16 | 2017 |

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 | 13 | 2015 |

Hierarchical planning for device placement A Mirhoseini, A Goldie, H Pham, B Steiner, QV Le, J Dean | 10 | 2018 |

Television receiver with dynamically adjustable filtering M Zahm, E Geiger US Patent 7,136,114, 2006 | 6 | 2006 |

Hierarchical planning for device placement A Goldie, A Mirhoseini, B Steiner, H Pham, J Dean, QV Le Proceedings of the Sixth International Conference on Learning …, 2018 | 3 | 2018 |

Value learning for throughput optimization of deep learning workloads B Steiner, C Cummins, H He, H Leather Proceedings of Machine Learning and Systems 3, 2021 | 1 | 2021 |

Value Function Based Performance Optimization of Deep Learning Workloads B Steiner, C Cummins, H He, H Leather arXiv preprint arXiv:2011.14486, 2020 | 1 | 2020 |