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

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

15 January 2019
Ameer Haj-Ali
Qijing Huang
William S. Moses
J. Xiang
Ion Stoica
Krste Asanović
J. Wawrzynek
ArXivPDFHTML

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

5 / 5 papers shown
Title
ML-driven Hardware Cost Model for MLIR
ML-driven Hardware Cost Model for MLIR
Dibyendu Das
Sandya Mannarswamy
25
0
0
14 Feb 2023
RL4ReAl: Reinforcement Learning for Register Allocation
RL4ReAl: Reinforcement Learning for Register Allocation
S. VenkataKeerthy
Siddhartha Jain
Anilava Kundu
Rohit Aggarwal
Albert Cohen
Ramakrishna Upadrasta
OffRL
20
5
0
05 Apr 2022
ProTuner: Tuning Programs with Monte Carlo Tree Search
ProTuner: Tuning Programs with Monte Carlo Tree Search
Ameer Haj-Ali
Hasan Genç
Qijing Huang
William S. Moses
J. Wawrzynek
Krste Asanović
Ion Stoica
17
21
0
27 May 2020
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep
  Reinforcement Learning
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning
Qijing Huang
Ameer Haj-Ali
William S. Moses
J. Xiang
Ion Stoica
Krste Asanović
J. Wawrzynek
15
55
0
02 Mar 2020
NeuroVectorizer: End-to-End Vectorization with Deep Reinforcement
  Learning
NeuroVectorizer: End-to-End Vectorization with Deep Reinforcement Learning
Ameer Haj-Ali
Nesreen Ahmed
Theodore L. Willke
Sophia Shao
Krste Asanović
Ion Stoica
14
101
0
20 Sep 2019
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