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Deep Reinforcement Learning
Auto-MAP: A DQN Framework for Exploring Distributed Execution Plans for DNN Workloads
The last decade has witnessed growth in the computational requirements for training deep neural networks. Current approaches (e.g., …
Siyu Wang
,
荣懿
,
Shiqing Fan
,
Zhen Zheng
,
LanSong Diao
,
Guoping Long
,
Jun Yang
,
Xiaoyong Liu
,
Wei Lin
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