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pro vyhledávání: '"khorashadi, Mahmoud"'
Autor:
Mudigere, Dheevatsa, Hao, Yuchen, Huang, Jianyu, Jia, Zhihao, Tulloch, Andrew, Sridharan, Srinivas, Liu, Xing, Ozdal, Mustafa, Nie, Jade, Park, Jongsoo, Luo, Liang, Yang, Jie Amy, Gao, Leon, Ivchenko, Dmytro, Basant, Aarti, Hu, Yuxi, Yang, Jiyan, Ardestani, Ehsan K., Wang, Xiaodong, Komuravelli, Rakesh, Chu, Ching-Hsiang, Yilmaz, Serhat, Li, Huayu, Qian, Jiyuan, Feng, Zhuobo, Ma, Yinbin, Yang, Junjie, Wen, Ellie, Li, Hong, Yang, Lin, Sun, Chonglin, Zhao, Whitney, Melts, Dimitry, Dhulipala, Krishna, Kishore, KR, Graf, Tyler, Eisenman, Assaf, Matam, Kiran Kumar, Gangidi, Adi, Chen, Guoqiang Jerry, Krishnan, Manoj, Nayak, Avinash, Nair, Krishnakumar, Muthiah, Bharath, khorashadi, Mahmoud, Bhattacharya, Pallab, Lapukhov, Petr, Naumov, Maxim, Mathews, Ajit, Qiao, Lin, Smelyanskiy, Mikhail, Jia, Bill, Rao, Vijay
Deep learning recommendation models (DLRMs) are used across many business-critical services at Facebook and are the single largest AI application in terms of infrastructure demand in its data-centers. In this paper we discuss the SW/HW co-designed so
Externí odkaz:
http://arxiv.org/abs/2104.05158
