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Auto-MAP: A DQN Framework for Exploring Distributed Execution Plans for
  DNN Workloads

Auto-MAP: A DQN Framework for Exploring Distributed Execution Plans for DNN Workloads

8 July 2020
Siyu Wang
Yi Rong
Shiqing Fan
Zhen Zheng
Lansong Diao
Guoping Long
Jun Yang
Xiaoyong Liu
Wei Lin
ArXivPDFHTML

Papers citing "Auto-MAP: A DQN Framework for Exploring Distributed Execution Plans for DNN Workloads"

2 / 2 papers shown
Title
UniAP: Unifying Inter- and Intra-Layer Automatic Parallelism by Mixed Integer Quadratic Programming
UniAP: Unifying Inter- and Intra-Layer Automatic Parallelism by Mixed Integer Quadratic Programming
Hao Lin
Ke Wu
Jie Li
Jun Yu Li
Wu-Jun Li
39
2
0
31 Jul 2023
Device Placement Optimization with Reinforcement Learning
Device Placement Optimization with Reinforcement Learning
Azalia Mirhoseini
Hieu H. Pham
Quoc V. Le
Benoit Steiner
Rasmus Larsen
Yuefeng Zhou
Naveen Kumar
Mohammad Norouzi
Samy Bengio
J. Dean
33
438
0
13 Jun 2017
1