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Towards Distributed Machine Learning in Shared Clusters: A Dynamically-Partitioned Approach

Towards Distributed Machine Learning in Shared Clusters: A Dynamically-Partitioned Approach

Peng Sun
Yonggang Wen
T. Duong
Shengen Yan
ArXiv (abs)PDFHTML

Papers citing "Towards Distributed Machine Learning in Shared Clusters: A Dynamically-Partitioned Approach"

2 / 2 papers shown
Title
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
Tianqi Chen
Mu Li
Yutian Li
Min Lin
Naiyan Wang
Minjie Wang
Tianjun Xiao
Bing Xu
Chiyuan Zhang
Zheng Zhang
200
2,248
0
03 Dec 2015
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLMBDL3DV
298
14,717
0
20 Jun 2014