Predicting memory accesses-Reference-Cited by-同舟云学术

Predicting memory accesses

Published:2019-09-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Symposium on Memory Systems
language:
Short-container-title:

Author:

Srivastava Ajitesh¹,Lazaris Angelos¹,Brooks Benjamin¹,Kannan Rajgopal²,Prasanna Viktor K.¹

Affiliation:

1. University of Southern California

2. Army Research Lab - West

Funder

Air Force Research Laboratory

National Science Foundation

Google

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3357526.3357549

Reference25 articles.

1. B. Plank A. Søgaard and Y. Goldberg "Multilingual part-of-speech tagging with bidirectional long short-term memory models and auxiliary loss " arXiv preprint arXiv:1604.05529 2016. B. Plank A. Søgaard and Y. Goldberg "Multilingual part-of-speech tagging with bidirectional long short-term memory models and auxiliary loss " arXiv preprint arXiv:1604.05529 2016.

2. O. Vinyals $Ls. Kaiser T. Koo S. Petrov I. Sutskever and G. Hinton "Grammar as a foreign language " in Advances in Neural Information Processing Systems pp. 2773--2781 2015. O. Vinyals $Ls. Kaiser T. Koo S. Petrov I. Sutskever and G. Hinton "Grammar as a foreign language " in Advances in Neural Information Processing Systems pp. 2773--2781 2015.

3. F. A. Gers J. Schmidhuber and F. Cummins "Learning to forget: Continual prediction with lstm " 1999. F. A. Gers J. Schmidhuber and F. Cummins "Learning to forget: Continual prediction with lstm " 1999.

4. "Apple is bringing the ai revolution to your iphone." https://www.wired.com/2016/06/apple-bringing-ai-revolution-iphone/. Accessed: 2018-11-10. "Apple is bringing the ai revolution to your iphone." https://www.wired.com/2016/06/apple-bringing-ai-revolution-iphone/. Accessed: 2018-11-10.

Cited by 29 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

1. A New Formulation of Neural Data Prefetching;2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA);2024-06-29

2. Accelerating Graph Analytics Using Attention-Based Data Prefetcher;SN Computer Science;2024-06-13

3. Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching;2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2024-05-27

4. PATHFINDER: Practical Real-Time Learning for Data Prefetching;Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3;2024-04-27

5. RL-CoPref: a reinforcement learning-based coordinated prefetching controller for multiple prefetchers;The Journal of Supercomputing;2024-02-27