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CSM213B_Project
Home
Introduction
Models
AutoPartition System
TestBed & Results
Conclusion & Demo & Code
Progress
References
Team
More
Home
Introduction
Models
AutoPartition System
TestBed & Results
Conclusion & Demo & Code
Progress
References
Team
References
Distributed Learning in asynchronous/Synchronous manner and DistBelief Model:
Dean, Jeffrey, et al. "Large scale distributed deep networks." Advances in neural information processing systems. 2012.
Chen, Jianmin, et al. "Revisiting distributed synchronous SGD." arXiv preprint arXiv:1604.00981 (2016).
Shamir, Ohad, and Nathan Srebro. "Distributed stochastic optimization and learning." Communication, Control, and Computing (Allerton), 2014 52nd Annual Allerton Conference on. IEEE, 2014.
Graph optimization techniques: common subgraph elimination/common subexpression elimination (5.1 section in
http://download.tensorflow.org/paper/whitepaper2015.pdf
and figure 6 in
https://arxiv.org/pdf/1610.01178.pdf
)
Tensor have strategies to control data communications and memory usage which in turn also affect the power consumption (5.2 section in
http://download.tensorflow.org/paper/whitepaper2015.pdf
)
Distributed TensorFlow documentation
MNIST dataset details
Softmax regression using TensorFlow on MNIST dataset
AlexNet paper and models:
ImageNet Classification with Deep Convolutional Neural Networks. (
https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks
)
https://github.com/BVLC/caffe/tree/master/models/bvlc_alexnet
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