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SMAUG: End-to-End Full-Stack Simulation Infrastructure for Deep Learning Workloads.
Sam Likun Xi
Yuan Yao
Kshitij Bhardwaj
Paul N. Whatmough
Gu-Yeon Wei
David Brooks
Published in:
ACM Trans. Archit. Code Optim. (2020)
Keyphrases
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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