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Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale


May 26, 2021
Zhaoxia, Deng, Jongsoo Park, Ping Tak Peter Tang, Haixin Liu, Jie, Yang, Hector Yuen, Jianyu Huang, Daya Khudia, Xiaohan Wei, Ellie Wen, Dhruv Choudhary, Raghuraman Krishnamoorthi, Carole-Jean Wu, Satish Nadathur, Changkyu Kim, Maxim Naumov, Sam Naghshineh, Mikhail Smelyanskiy


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Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems


May 04, 2021
Xiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary, Tianxiang Gao, Sherman Wong, Louis Feng, Jongsoo Park, Yu Cao, Arun Kejariwal


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Adaptive Dense-to-Sparse Paradigm for Pruning Online Recommendation System with Non-Stationary Data


Oct 21, 2020
Mao Ye, Dhruv Choudhary, Jiecao Yu, Ellie Wen, Zeliang Chen, Jiyan Yang, Jongsoo Park, Qiang Liu, Arun Kejariwal


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Fast Distributed Training of Deep Neural Networks: Dynamic Communication Thresholding for Model and Data Parallelism


Oct 18, 2020
Vipul Gupta, Dhruv Choudhary, Ping Tak Peter Tang, Xiaohan Wei, Xing Wang, Yuzhen Huang, Arun Kejariwal, Kannan Ramchandran, Michael W. Mahoney

* 17 pages, 8 figures 

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On the Runtime-Efficacy Trade-off of Anomaly Detection Techniques for Real-Time Streaming Data


Oct 12, 2017
Dhruv Choudhary, Arun Kejariwal, Francois Orsini

* 12 pages 

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