Swift machine learning model serving scheduling-Reference-Cited by-同舟云学术

Swift machine learning model serving scheduling

Published:2019-11-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
language:
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Author:

Qin Heyang¹,Zawad Syed¹,Zhou Yanqi²,Yang Lei¹,Zhao Dongfang¹,Yan Feng¹

Affiliation:

1. University of Nevada

2. Google Brain

Funder

Amazon Web Services Cloud Credits for Research Award

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3295500.3356164

Reference77 articles.

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2. 2019. TensorBoard: TensorFlow's Visualization Toolkit. https://github.com/tensorflow/tensorboard 2019. TensorBoard: TensorFlow's Visualization Toolkit. https://github.com/tensorflow/tensorboard

3. 2019. TensorFlow XLA. https://www.tensorflow.org/performance/xla/ 2019. TensorFlow XLA. https://www.tensorflow.org/performance/xla/

4. Emile Aarts and Jan Korst. 1988. Simulated annealing and Boltzmann machines. (1988). Emile Aarts and Jan Korst. 1988. Simulated annealing and Boltzmann machines. (1988).

5. Martín Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Gregory S. Corrado Andy Davis Jeffrey Dean Matthieu Devin Sanjay Ghemawat Ian J. Goodfellow Andrew Harp Geoffrey Irving Michael Isard Yangqing Jia Rafal Józefowicz Lukasz Kaiser Manjunath Kudlur Josh Levenberg Dan Mané Rajat Monga Sherry Moore Derek Gordon Murray Chris Olah Mike Schuster Jonathon Shlens Benoit Steiner Ilya Sutskever Kunal Talwar Paul A. Tucker Vincent Vanhoucke Vijay Vasudevan Fernanda B. Viégas Oriol Vinyals Pete Warden Martin Wattenberg Martin Wicke Yuan Yu and Xiaoqiang Zheng. 2016. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. CoRR abs/1603.04467 (2016). arXiv:1603.04467 http://arxiv.org/abs/1603.04467 Martín Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Gregory S. Corrado Andy Davis Jeffrey Dean Matthieu Devin Sanjay Ghemawat Ian J. Goodfellow Andrew Harp Geoffrey Irving Michael Isard Yangqing Jia Rafal Józefowicz Lukasz Kaiser Manjunath Kudlur Josh Levenberg Dan Mané Rajat Monga Sherry Moore Derek Gordon Murray Chris Olah Mike Schuster Jonathon Shlens Benoit Steiner Ilya Sutskever Kunal Talwar Paul A. Tucker Vincent Vanhoucke Vijay Vasudevan Fernanda B. Viégas Oriol Vinyals Pete Warden Martin Wattenberg Martin Wicke Yuan Yu and Xiaoqiang Zheng. 2016. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. CoRR abs/1603.04467 (2016). arXiv:1603.04467 http://arxiv.org/abs/1603.04467

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