Search Results for author: John Xiang

Found 2 papers, 2 papers with code

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

1 code implementation • 2 Mar 2020 • Qijing Huang, Ameer Haj-Ali, William Moses, John Xiang, Ion Stoica, Krste Asanovic, John Wawrzynek

We compare the performance of AutoPhase to state-of-the-art algorithms that address the phase-ordering problem.

reinforcement-learning Reinforcement Learning (RL)

Paper
Code

AutoPhase: Compiler Phase-Ordering for High Level Synthesis with Deep Reinforcement Learning

1 code implementation • 15 Jan 2019 • Ameer Haj-Ali, Qijing Huang, William Moses, John Xiang, Ion Stoica, Krste Asanovic, John Wawrzynek

We implement a framework in the context of the LLVM compiler to optimize the ordering for HLS programs and compare the performance of deep reinforcement learning to state-of-the-art algorithms that address the phase-ordering problem.

reinforcement-learning Reinforcement Learning (RL)

Paper
Code

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