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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 |
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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 |
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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 |
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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 |
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