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Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale



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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High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models



Dheevatsa Mudigere , Yuchen Hao , Jianyu Huang , Andrew Tulloch , Srinivas Sridharan , Xing Liu , Mustafa Ozdal , Jade Nie , Jongsoo Park , Liang Luo , Jie , Yang , Leon Gao , Dmytro Ivchenko , Aarti Basant , Yuxi Hu , Jiyan Yang , Ehsan K. Ardestani , Xiaodong Wang , Rakesh Komuravelli , Ching-Hsiang Chu , Serhat Yilmaz , Huayu Li , Jiyuan Qian , Zhuobo Feng , Yinbin Ma , Junjie Yang , Ellie Wen , Hong Li , Lin Yang , Chonglin Sun , Whitney Zhao , Krishna Dhulipala , KR Kishore , Tyler Graf , Assaf Eisenman , Kiran Kumar Matam , Adi Gangidi , Pallab Bhattacharya , Guoqiang Jerry Chen , Manoj Krishnan , Krishnakumar Nair , Petr Lapukhov , Maxim Naumov , Lin Qiao , Mikhail Smelyanskiy , Bill Jia , Vijay Rao


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Mixed-Precision Embedding Using a Cache



Jie , Yang , Jianyu Huang , Jongsoo Park , Ping Tak Peter Tang , Andrew Tulloch


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Self-supervised Learning: Generative or Contrastive



Xiao , Liu , Fanjin , Zhang , Zhenyu , Hou , Zhaoyu , Wang , Li , Mian , Jing , Zhang , Jie , Tang


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