| 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 | 18234* | 2016 |
| TensorFlow: Large-scale machine learning on heterogeneous systems M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... | 8426 | 2015 |
| TensorFlow: Large-scale machine learning on heterogeneous systems M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... | 8426 | 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 | 4397 | 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 | 302 | 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 | 228 | 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 | 196 | 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 | 101 | 2019 |
| Pytorch: An imperative style, high-performance deep learning library B Steiner, Z DeVito, S Chintala, S Gross, A Paszke, F Massa, A Lerer, ... Advances in Neural Information Processing Systems 32, 8026-8037, 2019 | 84 | 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 | 79 | 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 | 60 | 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 | 52 | 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 | 44 | 2019 |
| 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 | 9 | 2018 |
| 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 | 9 | 2017 |
| 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 Function Based Performance Optimization of Deep Learning Workloads B Steiner, C Cummins, H He, H Leather arXiv preprint arXiv:2011.14486, 2020 | | 2020 |
| Device placement optimization with reinforcement learning S Bengio, M Norouzi, B Steiner, JA Dean, HH Pham, A Mirhoseini, QV Le, ... US Patent App. 16/878,720, 2020 | | 2020 |
