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pro vyhledávání: '"Nanda, Akshat"'
Autor:
Ardestani, Ehsan K., Kim, Changkyu, Lee, Seung Jae, Pan, Luoshang, Rampersad, Valmiki, Axboe, Jens, Agrawal, Banit, Yu, Fuxun, Yu, Ansha, Le, Trung, Yuen, Hector, Juluri, Shishir, Nanda, Akshat, Wodekar, Manoj, Mudigere, Dheevatsa, Nair, Krishnakumar, Naumov, Maxim, Peterson, Chris, Smelyanskiy, Mikhail, Rao, Vijay
Deep Learning Recommendation Models (DLRM) are widespread, account for a considerable data center footprint, and grow by more than 1.5x per year. With model size soon to be in terabytes range, leveraging Storage ClassMemory (SCM) for inference enable
Externí odkaz:
http://arxiv.org/abs/2110.11489