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

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

2 March 2020

William S. Moses

Krste Asanović

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

12 / 12 papers shown

Title
Towards VM Rescheduling Optimization Through Deep Reinforcement Learning Xianzhong Ding Yunkai Zhang Binbin Chen Donghao Ying Tieying Zhang Jianjun Chen Lei Zhang Alberto Cerpa Wan Du VLM 139 2 0 23 May 2025
Ansor: Generating High-Performance Tensor Programs for Deep Learning Lianmin Zheng Chengfan Jia Minmin Sun Zhao Wu Cody Hao Yu ... Jun Yang Danyang Zhuo Koushik Sen Joseph E. Gonzalez Ion Stoica 144 403 0 11 Jun 2020
NeuroVectorizer: End-to-End Vectorization with Deep Reinforcement Learning Ameer Haj-Ali Nesreen Ahmed Theodore L. Willke Sophia Shao Krste Asanović Ion Stoica 63 101 0 20 Sep 2019
AutoPhase: Compiler Phase-Ordering for High Level Synthesis with Deep Reinforcement Learning Ameer Haj-Ali Qijing Huang William S. Moses J. Xiang Ion Stoica Krste Asanović J. Wawrzynek 42 36 0 15 Jan 2019
Machine Learning in Compiler Optimisation Zheng Wang Michael F. P. O'Boyle VLM 53 77 0 09 May 2018
RLlib: Abstractions for Distributed Reinforcement Learning Eric Liang Richard Liaw Philipp Moritz Robert Nishihara Roy Fox Ken Goldberg Joseph E. Gonzalez Michael I. Jordan Ion Stoica OffRL AI4CE 72 175 0 26 Dec 2017
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents Edoardo Conti Vashisht Madhavan F. Such Joel Lehman Kenneth O. Stanley Jeff Clune 80 349 0 18 Dec 2017
Ray: A Distributed Framework for Emerging AI Applications Philipp Moritz Robert Nishihara Stephanie Wang Alexey Tumanov Richard Liaw ... Melih Elibol Zongheng Yang William Paul Michael I. Jordan Ion Stoica GNN 110 1,268 0 16 Dec 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 571 19,315 0 20 Jul 2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning Tim Salimans Jonathan Ho Xi Chen Szymon Sidor Ilya Sutskever 122 1,544 0 10 Mar 2017
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 210 8,882 0 04 Feb 2016
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 261 3,238 0 02 Nov 2010