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OpenEmbedding: A Distributed Parameter Server for Deep Learning Recommendation Models using Persistent Memory.

Cheng ChenYilin WangJun YangYiming LiuMian LuZhao ZhengBingsheng HeWeng-Fai WongLiang YouPenghao SunYuping ZhaoFenghua HuAndy Rudoff
Published in: ICDE (2023)
Keyphrases
  • deep learning
  • viewpoint
  • probabilistic model
  • computer vision
  • deep architectures
  • unsupervised learning
  • data sets
  • training data
  • object recognition
  • co occurrence
  • model selection
  • deep belief networks