Towards neural architecture-aware exploration of compiler optimizations in a deep learning {graph} compiler-Reference-Cited by-同舟云学术

Towards neural architecture-aware exploration of compiler optimizations in a deep learning {graph} compiler

Published:2022-05-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 19th ACM International Conference on Computing Frontiers
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Author:

Verma Gaurav¹,Finviya Swetang¹,Malik Abid M.²,Emani Murali³,Chapman Barbara¹

Affiliation:

1. Stony Brook University

2. Brookhaven National Laboratory

3. Argonne National Laboratory

Funder

U.S. Office of the Under Secretary of Defense for Research and Engineering (OUSD(R&E))

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3528416.3530251

Reference37 articles.

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2. Amir Hossein Ashouri Andrea Bignoli Gianluca Palermo and Cristina Silvano. 2016. Predictive modeling methodology for compiler phase-ordering. In Proceedings of the 7th Workshop on Parallel Programming and Run-Time Management Techniques for Many-core Architectures and the 5th Workshop on Design Tools and Architectures For Multicore Embedded Computing Platforms. 7--12. Amir Hossein Ashouri Andrea Bignoli Gianluca Palermo and Cristina Silvano. 2016. Predictive modeling methodology for compiler phase-ordering. In Proceedings of the 7th Workshop on Parallel Programming and Run-Time Management Techniques for Many-core Architectures and the 5th Workshop on Design Tools and Architectures For Multicore Embedded Computing Platforms. 7--12.

3. MiCOMP

4. A Survey on Compiler Autotuning using Machine Learning

5. Tianqi Chen Thierry Moreau Ziheng Jiang Lianmin Zheng Eddie Yan Haichen Shen Meghan Cowan Leyuan Wang Yuwei Hu Luis Ceze etal 2018. {TVM}: An automated end-to-end optimizing compiler for deep learning. In 13th {USENIX} Symposium on Operating Systems Design and Implementation ({OSDI} 18). 578--594. Tianqi Chen Thierry Moreau Ziheng Jiang Lianmin Zheng Eddie Yan Haichen Shen Meghan Cowan Leyuan Wang Yuwei Hu Luis Ceze et al. 2018. {TVM}: An automated end-to-end optimizing compiler for deep learning. In 13th { USENIX } Symposium on Operating Systems Design and Implementation ( { OSDI } 18) . 578--594.

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