谷歌浏览器插件
订阅小程序
在清言上使用

A Survey on Recent Hardware Data Prefetching Approaches with An Emphasis on Servers

arXiv (Cornell University)(2020)

引用 1|浏览32
暂无评分
摘要
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.
更多
查看译文
关键词
servers,hardware,data
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要