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Sherry Moore
Sherry Moore
Google DeepMind
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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
311602016
TensorFlow: Large-scale machine learning on heterogeneous systems
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
24264*2015
Large-scale evolution of image classifiers
E Real, S Moore, A Selle, S Saxena, YL Suematsu, J Tan, QV Le, ...
International conference on machine learning, 2902-2911, 2017
18822017
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
8342015
Tensorflow: A system for large-scale machine learning
A Martín, B Paul, C Jianmin, C Zhifeng, D Andy, D Jeffrey, D Matthieu, ...
12th USENIX symposium on operating systems design and implementation (OSDI …, 2016
4692016
TensorFlow: large-scale machine learning on heterogeneous distributed systems. 2015
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, G Corrado, ...
URL http://download. tensorflow. org/paper/whitepaper2015. pdf, 12, 2015
3302015
TensorFlow: Large-scale machine learning on heterogeneous systems (2015), software available from tensorflow. org
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
URL https://www. tensorflow. org, 2019
2792019
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, ...
Savannah, GA, 265-283, 2016
2792016
Tensorflow: Large-scale machine learning on heterogeneous distributed systems. CoRR abs/1603.04467 (2016)
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
arXiv preprint arXiv:1603.04467, 2016
2172016
TensorFlow: Large-scale machine learning on heterogeneous systems. arXiv
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
arXiv preprint arXiv:1603.04467, 2015
1182015
Open x-embodiment: Robotic learning datasets and rt-x models
A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ...
arXiv preprint arXiv:2310.08864, 2023
742023
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
552015
TensorFlow: A system for large-scale machine learning. arXiv 2016
M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ...
arXiv preprint arXiv:1605.08695, 0
55
Performance evaluation of switch-based wormhole networks
LM Ni, Y Gui, S Moore
IEEE Transactions on Parallel and Distributed Systems 8 (5), 462-474, 1997
541997
The effects of network contention on processor allocation strategies
SQ Moore, LM Ni
Proceedings of International Conference on Parallel Processing, 268-273, 1996
511996
Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv preprint arXiv: 160304467
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
Cornell University, 2016
492016
Method and system for memory management
DP Johnson, EC Saxe, SQ Moore
US Patent 7,882,319, 2011
232011
Martin wa enberg, martin wicke, yuan yu, and xiaoqiang zheng. 2015. tensorflow: Large-scale machine learning on heterogeneous systems.(2015). hp
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
tensor ow. org/So ware available from tensor ow. org, 2015
192015
Dynamic interleaving
EC Saxe, SQ Moore, DP Johnson
US Patent 7,979,648, 2011
182011
TensorFlow: a system for large-scale machine learning. USENIX symposium on operating systems design and implementation 16: 265–283
M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ...
arXiv preprint arXiv:1605.08695, 2016
122016
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