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AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning [article]

Qijing Huang, Ameer Haj-Ali, William Moses, John Xiang, Ion Stoica, Krste Asanovic, John Wawrzynek
2020 arXiv   pre-print
In this paper, we evaluate a new technique to address the phase-ordering problem: deep reinforcement learning.  ...  To this end, we implement AutoPhase: a framework that takes a program and uses deep reinforcement learning to find a sequence of compilation passes that minimizes its execution time.  ...  ACKNOWLEDGEMENT This research is supported in part by NSF CISE Expeditions Award CCF-1730628, the Defense Advanced Research  ... 
arXiv:2003.00671v2 fatcat:xemglojhkfhllo7oeo4aosqala