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Picture for Naoya Maruyama

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


Jul 25, 2020
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


Mar 15, 2019
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


Feb 07, 2018
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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