Efficient Concurrent Range Queries in B+-trees using RCU-HTM

Dimitrios Siakavaras, Panagiotis Billis, K. Nikas, G. Goumas, N. Koziris
{"title":"Efficient Concurrent Range Queries in B+-trees using RCU-HTM","authors":"Dimitrios Siakavaras, Panagiotis Billis, K. Nikas, G. Goumas, N. Koziris","doi":"10.1145/3350755.3400237","DOIUrl":null,"url":null,"abstract":"In this work, we exploit RCU-HTM, a synchronization mechanism that combines Read-Copy-Update (RCU) and Hardware Transactional Memory (HTM) to support linearizable and highly efficient range queries in a concurrent B+-tree. Range queries in our B+-tree start with an asynchronized traversal and then perform a horizontal scan of leaf nodes, by following sibling pointers, using hardware transactions. Despite its simplicity, our RCU-HTM based B+-tree with range query support greatly outperforms state-of-the-art map data structures for range queries in several execution scenarios.","PeriodicalId":218208,"journal":{"name":"Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures","volume":"103 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3350755.3400237","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

In this work, we exploit RCU-HTM, a synchronization mechanism that combines Read-Copy-Update (RCU) and Hardware Transactional Memory (HTM) to support linearizable and highly efficient range queries in a concurrent B+-tree. Range queries in our B+-tree start with an asynchronized traversal and then perform a horizontal scan of leaf nodes, by following sibling pointers, using hardware transactions. Despite its simplicity, our RCU-HTM based B+-tree with range query support greatly outperforms state-of-the-art map data structures for range queries in several execution scenarios.
使用RCU-HTM在B+-树中高效并发范围查询
在这项工作中,我们利用RCU-HTM,一种结合了读-复制-更新(RCU)和硬件事务性内存(HTM)的同步机制来支持并行B+树中线性化和高效的范围查询。B+树中的范围查询从异步遍历开始,然后使用硬件事务通过跟踪兄弟指针对叶节点执行水平扫描。尽管它很简单,但是我们基于RCU-HTM的B+树支持范围查询,在一些执行场景中,对于范围查询,它的性能大大优于最先进的映射数据结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书