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

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

2 March 2020

William S. Moses

Krste Asanović

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

18 / 18 papers shown

Title
Improving Parallel Program Performance with LLM Optimizers via Agent-System Interface Anjiang Wei Allen Nie Thiago S. F. X. Teixeira Rohan Yadav Wonchan Lee Ke Wang Alex Aiken 21 0 0 21 Oct 2024
A Reinforcement Learning Environment for Automatic Code Optimization in the MLIR Compiler Nazim Bendib Iheb Nassim Aouadj Riyadh Baghdadi 16 1 0 17 Sep 2024
Compiler generated feedback for Large Language Models Dejan Grubisic Chris Cummins Volker Seeker Hugh Leather 24 5 0 18 Mar 2024
Large Language Models for Compiler Optimization Chris Cummins Volker Seeker Dejan Grubisic Mostafa Elhoushi Youwei Liang ... Jonas Gehring Fabian Gloeckle Kim M. Hazelwood Gabriel Synnaeve Hugh Leather 18 47 0 11 Sep 2023
Target-independent XLA optimization using Reinforcement Learning Milan Ganai Haichen Li Theodore Enns Yida Wang Randy Huang 32 0 0 28 Aug 2023
X-RLflow: Graph Reinforcement Learning for Neural Network Subgraphs Transformation Guoliang He Sean Parker Eiko Yoneki 19 2 0 28 Apr 2023
BenchDirect: A Directed Language Model for Compiler Benchmarks Foivos Tsimpourlas Pavlos Petoumenos Min Xu Chris Cummins K. Hazelwood A. Rajan Hugh Leather ELM 15 3 0 02 Mar 2023
Learning Compiler Pass Orders using Coreset and Normalized Value Prediction Youwei Liang Kevin R. Stone A. Shameli Chris Cummins Mostafa Elhoushi ... Benoit Steiner Xiaomeng Yang P. Xie Hugh Leather Yuandong Tian 9 9 0 09 Jan 2023
Compiler Optimization for Quantum Computing Using Reinforcement Learning Nils Quetschlich Lukas Burgholzer Robert Wille 21 25 0 08 Dec 2022
BaCO: A Fast and Portable Bayesian Compiler Optimization Framework E. Hellsten Artur L. F. Souza Johannes Lenfers Rubens Lacouture Olivia Hsu Adel Ejjeh Fredrik Kjolstad Michel Steuwer K. Olukotun Luigi Nardi 19 16 0 01 Dec 2022
BenchPress: A Deep Active Benchmark Generator Foivos Tsimpourlas Pavlos Petoumenos Min Xu Chris Cummins K. Hazelwood A. Rajan Hugh Leather 18 3 0 13 Aug 2022
A Highly Configurable Hardware/Software Stack for DNN Inference Acceleration Suvadeep Banerjee Steve Burns P. Cocchini A. Davare Shweta Jain D. Kirkpatrick A. Sorokin Jin Yang Zhenkun Yang 14 9 0 29 Nov 2021
CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research Chris Cummins Bram Wasti Jiadong Guo Brandon Cui Jason Ansel ... Jia-Wei Liu O. Teytaud Benoit Steiner Yuandong Tian Hugh Leather 28 68 0 17 Sep 2021
Learning Space Partitions for Path Planning Kevin Kaichuang Yang Tianjun Zhang Chris Cummins Brandon Cui Benoit Steiner Linnan Wang Joseph E. Gonzalez Dan Klein Yuandong Tian 15 10 0 19 Jun 2021
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 28 378 0 11 Jun 2020
ProTuner: Tuning Programs with Monte Carlo Tree Search Ameer Haj-Ali Hasan Genç Qijing Huang William S. Moses J. Wawrzynek Krste Asanović Ion Stoica 23 21 0 27 May 2020
GEVO: GPU Code Optimization using Evolutionary Computation Jhe-Yu Liou Xiaodong Wang Stephanie Forrest Carole-Jean Wu 19 2 0 17 Apr 2020
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