Static Neural Compiler Optimization via Deep Reinforcement Learning

20 August 2020

Papers citing "Static Neural Compiler Optimization via Deep Reinforcement Learning"

10 / 10 papers shown

Title
Target-independent XLA optimization using Reinforcement Learning Milan Ganai Haichen Li Theodore Enns Yida Wang Randy Huang 34 0 0 28 Aug 2023
Power Constrained Autotuning using Graph Neural Networks Akashnil Dutta JeeWhan Choi Ali Jannesari 30 5 0 22 Feb 2023
Verifying Generalization in Deep Learning Guy Amir Osher Maayan Tom Zelazny Guy Katz Michael Schapira AAML AI4CE 26 14 0 11 Feb 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 10 0 09 Jan 2023
POSET-RL: Phase ordering for Optimizing Size and Execution Time using Reinforcement Learning Shalini Jain Yashas Andaluri S. VenkataKeerthy Ramakrishna Upadrasta 16 6 0 27 Jul 2022
RL4ReAl: Reinforcement Learning for Register Allocation S. VenkataKeerthy Siddhartha Jain Anilava Kundu Rohit Aggarwal Albert Cohen Ramakrishna Upadrasta OffRL 36 5 0 05 Apr 2022
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 31 68 0 17 Sep 2021
Towards Scalable Verification of Deep Reinforcement Learning Guy Amir Michael Schapira Guy Katz OffRL 27 46 0 25 May 2021
A Reinforcement Learning Environment for Polyhedral Optimizations Alexander Brauckmann Andrés Goens J. Castrillón 24 6 0 28 Apr 2021
ProGraML: Graph-based Deep Learning for Program Optimization and Analysis Chris Cummins Zacharias V. Fisches Tal Ben-Nun Torsten Hoefler Hugh Leather 88 56 0 23 Mar 2020