Parameter hub: a rack-scale parameter server for distributed deep neural network training

L Luo, J Nelson, L Ceze, A Phanishayee… - Proceedings of the …, 2018 - dl.acm.org
Distributed deep neural network (DDNN) training constitutes an increasingly important
workload that frequently runs in the cloud. Larger DNN models and faster compute engines …
被引用次数：141 相关文章

Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training

L Luo, J Nelson, L Ceze, A Phanishayee… - arXiv e …, 2018 - ui.adsabs.harvard.edu
Distributed deep neural network (DDNN) training constitutes an increasingly important
workload that frequently runs in the cloud. Larger DNN models and faster compute engines …
[PDF] washington.edu

[PDF][PDF] Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training

L Luo, J Nelson, L Ceze, A Phanishayee… - 2018 - homes.cs.washington.edu
Distributed deep neural network (DDNN) training constitutes an increasingly important
workload that frequently runs in the cloud. Larger DNN models and faster compute engines …

Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training

L Luo, J Nelson, L Ceze, A Phanishayee… - arXiv preprint arXiv …, 2018 - arxiv.org
Distributed deep neural network (DDNN) training constitutes an increasingly important
workload that frequently runs in the cloud. Larger DNN models and faster compute engines …
[PDF] github.io

[PDF][PDF] Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training

L Luo, J Nelson, L Ceze, A Phanishayee… - 2018 - nelsonje.github.io
Distributed deep neural network (DDNN) training constitutes an increasingly important
workload that frequently runs in the cloud. Larger DNN models and faster compute engines …
[PDF] washington.edu

[PDF][PDF] Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training

L Luo, J Nelson, L Ceze, A Phanishayee… - 2018 - homes.cs.washington.edu
Distributed deep neural network (DDNN) training constitutes an increasingly important
workload that frequently runs in the cloud. Larger DNN models and faster compute engines …