Static Neural Compiler Optimization via Deep Reinforcement Learning-Reference-Cited by-同舟云学术

Static Neural Compiler Optimization via Deep Reinforcement Learning

Published:2020-11 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE/ACM 6th Workshop on the LLVM Compiler Infrastructure in HPC (LLVM-HPC) and Workshop on Hierarchical Parallelism for Exascale Computing (HiPar)
language:
Short-container-title:

Author:

Mammadli Rahim¹,Jannesari Ali²,Wolf Felix³

Affiliation:

1. Technische Universität Darmstadt, Graduate School of Excellence, Computational Engineering

2. Iowa State University,Department of Computer Science

3. Technische Universität,Darmstadt Department of Computer Science

Publisher

IEEE

Link

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. Exponentially Expanding the Phase-Ordering Search Space via Dormant Information;Proceedings of the 33rd ACM SIGPLAN International Conference on Compiler Construction;2024-02-17

4. LLVM Framework: Research and Applications;2023 19th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD);2023-07-29

5. RL4ReAl: Reinforcement Learning for Register Allocation;Proceedings of the 32nd ACM SIGPLAN International Conference on Compiler Construction;2023-02-17