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D-NAT: Data-Driven Non-Ideality Aware Training Framework for Fabricated Computing-In-Memory Macros.

Ming-Guang LinChi-Tse HuangYu-Chuan ChuangYi-Ta ChenYing-Tuan HsuYu-Kai ChenJyun-Jhe ChouTsung-Te LiuChi-Sheng ShihAn-Yeu Wu
Published in: IEEE J. Emerg. Sel. Topics Circuits Syst. (2022)
Keyphrases
  • data driven
  • main contribution
  • conceptual framework
  • database
  • website
  • case study
  • theoretical framework
  • web services
  • multi agent
  • probabilistic model
  • lightweight