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Mixed-Precision Embedding Using a Cache

Oct 23, 2020
Jie Amy Yang, Jianyu Huang, Jongsoo Park, Ping Tak Peter Tang, Andrew Tulloch


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Hybrid Composition with IdleBlock: More Efficient Networks for Image Recognition

Nov 19, 2019
Bing Xu, Andrew Tulloch, Yunpeng Chen, Xiaomeng Yang, Lin Qiao


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Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications

Nov 29, 2018
Jongsoo Park, Maxim Naumov, Protonu Basu, Summer Deng, Aravind Kalaiah, Daya Khudia, James Law, Parth Malani, Andrey Malevich, Satish Nadathur, Juan Pino, Martin Schatz, Alexander Sidorov, Viswanath Sivakumar, Andrew Tulloch, Xiaodong Wang, Yiming Wu, Hector Yuen, Utku Diril, Dmytro Dzhulgakov, Kim Hazelwood, Bill Jia, Yangqing Jia, Lin Qiao, Vijay Rao, Nadav Rotem, Sungjoo Yoo, Mikhail Smelyanskiy


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On Periodic Functions as Regularizers for Quantization of Neural Networks

Nov 24, 2018
Maxim Naumov, Utku Diril, Jongsoo Park, Benjamin Ray, Jedrzej Jablonski, Andrew Tulloch

* 11 pages, 7 figures 

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Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Apr 30, 2018
Priya Goyal, Piotr Dollár, Ross Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jia, Kaiming He

* Tech report (v2: correct typos) 

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High performance ultra-low-precision convolutions on mobile devices

Dec 06, 2017
Andrew Tulloch, Yangqing Jia

* Presented at NIPS 2017, Machine Learning on the Phone and other Consumer Devices workshop 

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