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{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
217492016
Revisiting distributed synchronous SGD
J Chen, X Pan, R Monga, S Bengio, R Jozefowicz
arXiv preprint arXiv:1604.00981, 2016
8262016
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
2402016
Tensorflow: A system for large-scale machine learning
PB Mart'in Abadi, J Chen, Z Chen, A Davis, J Dean, M Devin, ...
12th USENIX symposium on operating systems design and implementation (OSDI …, 2016
1582016
& 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
78
Statistical GPU power analysis using tree-based methods
J Chen, B Li, Y Zhang, L Peng, J Peir
2011 International Green Computing Conference and Workshops, 1-6, 2011
572011
Tensorflow: A system for large-scale machine learning, in proceedings of the 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, Savannah, GA, USA, 2-4, 2016
502016
November. 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
502016
& Kudlur, M.(2016, November). Tensorflow: a system for large-scale machine learning
M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean
Proceedings of the 12th USENIX Symposium on Operating Systems Design and …, 0
50
Architecture comparisons between Nvidia and ATI GPUs: Computation parallelism and data communications
Y Zhang, L Peng, B Li, JK Peir, J Chen
2011 IEEE international symposium on workload characterization (IISWC), 205-215, 2011
492011
Tree structured analysis on GPU power study
J Chen, B Li, Y Zhang, L Peng, J Peir
2011 IEEE 29th International Conference on Computer Design (ICCD), 57-64, 2011
392011
Guided region-based GPU scheduling: utilizing multi-thread parallelism to hide memory latency
J Chen, X Tao, Z Yang, JK Peir, X Li, SL Lu
2013 IEEE 27th International Symposium on Parallel and Distributed …, 2013
362013
TensorFlow: A System for Large-Scale Machine Learning 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 …, 2009
182009
Revisiting distributed synchronous SGD. arXiv 2016
J Chen, X Pan, R Monga, S Bengio, R Jozefowicz
arXiv preprint arXiv:1604.00981, 0
14
Revisiting distributed synchronous SGD. CoRR abs/1604.00981 (2016)
J Chen, R Monga, S Bengio, R Józefowicz
arXiv preprint arXiv:1604.00981, 2016
112016
Weak execution ordering-exploiting iterative methods on many-core gpus
J Chen, Z Huang, F Su, JK Peir, J Ho, L Peng
2010 IEEE International Symposium on Performance Analysis of Systems …, 2010
82010
Revisiting Distributed Synchronous SGD.(2016)
J Chen, X Pan, R Monga, S Bengio, R Jozefowicz
arXiv preprint arXiv:1604.00981, 2016
62016
TensorFlow: a system for large-scale machine learning this paper is included in the proceedings of the 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 conference on Operating Systems Design and …, 0
5
Performance and power comparisons between Nvidia and ATI GPUs
Y Zhang, L Peng, B Li, JK Peir, J Chen
International Journal of Computer Science & Information Technology 6 (6), 1, 2014
22014
Adaptive Dropout: A Novel Regularization Technique for Deep Neural Networks
M Abadi, P Barham, J Chen, Z Chen
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