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SMAUG: End-to-End Full-Stack Simulation Infrastructure for Deep Learning Workloads.

Sam Likun XiYuan YaoKshitij BhardwajPaul N. WhatmoughGu-Yeon WeiDavid Brooks
Published in: ACM Trans. Archit. Code Optim. (2020)
Keyphrases
  • end to end
  • deep learning
  • unsupervised learning
  • unsupervised feature learning
  • admission control
  • machine learning
  • ad hoc networks
  • congestion control
  • image sequences
  • weakly supervised
  • application layer