G&L: An Attention-based Model for Improving Prefetching in Solid-state Drives
Author:
Affiliation:
1. Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China,Shenzhen,China
2. School of Computer Science & Engineering, University of Electronic Science and Technology of China,Chengdu,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10190990/10190992/10191741.pdf?arnumber=10191741
Reference24 articles.
1. Automatic arima time series modeling for adaptive I/O prefetching
2. When Prefetching Works, When It Doesn’t, and Why
3. Stride prefetching for the secondary data cache
4. BERT: pre-training of deep bidirectional transformers for language understanding;devlin;Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics Human Language Technologies NAACL-HLT 2019,0
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1. Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching;2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2024-05-27
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