71 citations · 251 across the 8 of their papers we have counts for
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cs.LG2017★ 48 cited
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters
Hao Zhang, Zeyu Zheng, Shizhen Xu +7
Deep learning models can take weeks to train on a single GPU-equipped machine, necessitating scaling out DL training to a GPU-cluster. However, current distributed DL implementatio…
cs.LG2015★ 42 cited
Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines
Hao Zhang, Zhiting Hu, Jinliang Wei +4
Deep learning (DL) has achieved notable successes in many machine learning tasks. A number of frameworks have been developed to expedite the process of designing and training deep…
cs.LG2014★ 71 cited
High-Performance Distributed ML at Scale through Parameter Server Consistency Models
Wei Dai, Abhimanu Kumar, Jinliang Wei +3
As Machine Learning (ML) applications increase in data size and model complexity, practitioners turn to distributed clusters to satisfy the increased computational and memory deman…