Follow
Benoit Steiner
Benoit Steiner
FAIR
Verified email at fb.com - Homepage
Title
Cited by
Cited by
Year
{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 (OSDI …, 2016
26932*2016
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
183642019
TensorFlow: Large-scale machine learning on heterogeneous systems
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
131492015
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
9142019
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
4602019
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
3682017
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
3302015
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
1442019
A hierarchical model for device placement
A Mirhoseini, A Goldie, H Pham, B Steiner, QV Le, J Dean
International Conference on Learning Representations, 2018
1282018
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
1252016
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
1032015
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
881912
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
782016
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
772016
& Zheng, X.(2016). 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 …, 0
47
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
242015
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
232017
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
152021
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
92022
The system can't perform the operation now. Try again later.
Articles 1–20