Fine-grained address segmentation for attention-based variable-degree prefetching-Reference-Cited by-同舟云学术

Fine-grained address segmentation for attention-based variable-degree prefetching

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:

Zhang Pengmiao¹,Srivastava Ajitesh¹,Nori Anant V.²,Kannan Rajgopal³,Prasanna Viktor K.¹

Affiliation:

1. University of Southern California

2. Intel Labs, Bangalore, India

3. US Army Research Lab-West

Funder

Air Force Research Laboratory

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3528416.3530236

Reference75 articles.

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3. Peter Braun and Heiner Litz . 2019 . Understanding Memory Access Patterns for Prefetching. In International Workshop on AI-assisted Design for Architecture (AIDArc), held in conjunction with ISCA. Peter Braun and Heiner Litz. 2019. Understanding Memory Access Patterns for Prefetching. In International Workshop on AI-assisted Design for Architecture (AIDArc), held in conjunction with ISCA.

4. Carlos Carvalho . 2002 . The gap between processor and memory speeds . In Proc. of IEEE International Conference on Control and Automation. Carlos Carvalho. 2002. The gap between processor and memory speeds. In Proc. of IEEE International Conference on Control and Automation.

5. "ChampSim". 2017. https://github.com/ChampSim/ChampSim. "ChampSim". 2017. https://github.com/ChampSim/ChampSim.

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