A Deep Learning Model for Loop Interchange-Reference-Cited by-同舟云学术

A Deep Learning Model for Loop Interchange

Published:2023-02-17 Issue: Volume: Page:
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Container-title:Proceedings of the 32nd ACM SIGPLAN International Conference on Compiler Construction
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Author:

Mezdour Lina¹,Kadem Khadidja¹,Merouani Massinissa²,Haichour Amina Selma³,Amarasinghe Saman⁴,Baghdadi Riyadh²

Affiliation:

1. NYU Abu Dhabi, Abu Dhabi, United Arab Emirates / ESI, Algiers, Algeria

2. NYU Abu Dhabi, Abu Dhabi, United Arab Emirates

3. ESI, Algiers, Algeria

4. Massachusetts Institute of Technology, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3578360.3580257

Reference20 articles.

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2. Learning to optimize halide with tree search and random programs

3. Randy Allen and Ken Kennedy . 2001. Optimizing Compilers for Modern Architectures: A Dependence-based Approach ( 1 st edition ed.). Morgan Kaufmann , San Francisco . isbn:978-1-55860-286-1 Randy Allen and Ken Kennedy. 2001. Optimizing Compilers for Modern Architectures: A Dependence-based Approach (1st edition ed.). Morgan Kaufmann, San Francisco. isbn:978-1-55860-286-1

4. PENCIL: A Platform-Neutral Compute Intermediate Language for Accelerator Programming

5. Riyadh Baghdadi Massinissa Merouani Mohamed-Hicham Leghettas Kamel Abdous Taha Arbaoui Karima Benatchba and Saman Amarasinghe. 2021. A Deep Learning Based Cost Model for Automatic Code Optimization. arXiv:2104.04955 [cs] April arxiv:2104.04955 arXiv: 2104.04955 Riyadh Baghdadi Massinissa Merouani Mohamed-Hicham Leghettas Kamel Abdous Taha Arbaoui Karima Benatchba and Saman Amarasinghe. 2021. A Deep Learning Based Cost Model for Automatic Code Optimization. arXiv:2104.04955 [cs] April arxiv:2104.04955 arXiv: 2104.04955

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