A Survey on Recent Hardware Data Prefetching Approaches with An Emphasis on Servers
Abstract
Data prefetching, i.e., the act of predicting application's future memory accesses and fetching those that are not in the on-chip caches, is a well-known and widely-used approach to hide the long latency of memory accesses. The fruitfulness of data prefetching is evident to both industry and academy: nowadays, almost every high-performance processor incorporates a few data prefetchers for capturing various access patterns of applications; besides, there is a myriad of proposals for data prefetching in the research literature, where each proposal enhances the efficiency of prefetching in a specific way. In this survey, we discuss the fundamental concepts in data prefetching and study state-of-the-art hardware data prefetching approaches. Additional Key Words and Phrases: Data Prefetching, Scale-Out Workloads, Server Processors, and Spatio-Temporal Correlation.
Cite
@article{arxiv.2009.00715,
title = {A Survey on Recent Hardware Data Prefetching Approaches with An Emphasis on Servers},
author = {Mohammad Bakhshalipour and Mehran Shakerinava and Fatemeh Golshan and Ali Ansari and Pejman Lotfi-Karman and Hamid Sarbazi-Azad},
journal= {arXiv preprint arXiv:2009.00715},
year = {2020}
}