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Learning to Collide: Recommendation System Model Compression with Learned Hash Functions



Benjamin Ghaemmaghami , Mustafa Ozdal , Rakesh Komuravelli , Dmitriy Korchev , Dheevatsa Mudigere , Krishnakumar Nair , Maxim Naumov


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Supporting Massive DLRM Inference Through Software Defined Memory



Ehsan K. Ardestani , Changkyu Kim , Seung Jae Lee , Luoshang Pan , Valmiki Rampersad , Jens Axboe , Banit Agrawal , Fuxun Yu , Ansha Yu , Trung Le , Hector Yuen , Shishir Juluri , Akshat Nanda , Manoj Wodekar , Dheevatsa Mudigere , Krishnakumar Nair , Maxim Naumov , Chris Peterson , Mikhail Smelyanskiy , Vijay Rao

* 14 pages, 5 figures 

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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 Amy 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 , Dimitry Melts , Krishna Dhulipala , KR Kishore , Tyler Graf , Assaf Eisenman , Kiran Kumar Matam , Adi Gangidi , Guoqiang Jerry Chen , Manoj Krishnan , Avinash Nayak , Krishnakumar Nair , Bharath Muthiah , Mahmoud khorashadi , Pallab Bhattacharya , Petr Lapukhov , Maxim Naumov , Lin Qiao , Mikhail Smelyanskiy , Bill Jia , Vijay Rao


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Check-N-Run: A Checkpointing System for Training Recommendation Models



Assaf Eisenman , Kiran Kumar Matam , Steven Ingram , Dheevatsa Mudigere , Raghuraman Krishnamoorthi , Murali Annavaram , Krishnakumar Nair , Misha Smelyanskiy


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