Applying Deep Learning to the Cache Replacement Problem-Reference-Cited by-同舟云学术

Applying Deep Learning to the Cache Replacement Problem

Published:2019-10-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture
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Author:

Shi Zhan¹,Huang Xiangru¹,Jain Akanksha¹,Lin Calvin¹

Affiliation:

1. The University of Texas at Austin, Austin, Texas

Funder

Google Faculty Research Award

NSF/Intel Partnership on Foundational Microarchitecture Research

NSF Grant

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3352460.3358319

Reference56 articles.

1. 2017. The 2nd Cache Replacement Championship. http://crc2.ece.tamu.edu/ 2017. The 2nd Cache Replacement Championship. http://crc2.ece.tamu.edu/

2. IATAC: a smart predictor to turn-off L2 cache lines

3. Scott Beamer Krste Asanović and David Patterson. 2015. The GAP benchmark suite. arXiv preprint arXiv:1508.03619 (2015). Scott Beamer Krste Asanović and David Patterson. 2015. The GAP benchmark suite. arXiv preprint arXiv:1508.03619 (2015).

4. Laszlo A. Belady. 1966. A study of replacement algorithms for a virtual-storage computer. IBM Systems Journal (1966) 78--101. Laszlo A. Belady. 1966. A study of replacement algorithms for a virtual-storage computer. IBM Systems Journal (1966) 78--101.

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