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The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism



Yosuke Oyama , Naoya Maruyama , Nikoli Dryden , Erin McCarthy , Peter Harrington , Jan Balewski , Satoshi Matsuoka , Peter Nugent , Brian Van Essen

* 12 pages, 10 figures 

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Improving Strong-Scaling of CNN Training by Exploiting Finer-Grained Parallelism



Nikoli Dryden , Naoya Maruyama , Tom Benson , Tim Moon , Marc Snir , Brian Van Essen

* To appear at IPDPS 2019 

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Effective Quantization Approaches for Recurrent Neural Networks



Md Zahangir Alom , Adam T Moody , Naoya Maruyama , Brian C Van Essen , Tarek M. Taha

* 8 pages, 23 figures,Submitted to International Joint Conference on Neural Networks (IJCNN) 2018 

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