Harnessing epoch-based reclamation for efficient range queries

Author:

Arbel-Raviv Maya1,Brown Trevor2

Affiliation:

1. Technion - Israel Institute of Technology

2. Institute of Science and Technology Austria

Abstract

Concurrent sets with range query operations are highly desirable in applications such as in-memory databases. However, few set implementations offer range queries. Known techniques for augmenting data structures with range queries (or operations that can be used to build range queries) have numerous problems that limit their usefulness. For example, they impose high overhead or rely heavily on garbage collection. In this work, we show how to augment data structures with highly efficient range queries, without relying on garbage collection. We identify a property of epoch-based memory reclamation algorithms that makes them ideal for implementing range queries, and produce three algorithms, which use locks, transactional memory and lock-free techniques, respectively. Our algorithms are applicable to more data structures than previous work, and are shown to be highly efficient on a large scale Intel system.

Funder

Israel Science Foundation

Global Affairs Canada

Natural Sciences and Engineering Research Council of Canada

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Software

Reference27 articles.

1. Atomic snapshots of shared memory

2. A. Agarwal Z. Liu E. Rosenthal and V. Saraph. Linearizable iterators for concurrent data structures. CoRR abs/1705.08885 2017. URL http://arxiv.org/abs/1705.08885. A. Agarwal Z. Liu E. Rosenthal and V. Saraph. Linearizable iterators for concurrent data structures. CoRR abs/1705.08885 2017. URL http://arxiv.org/abs/1705.08885.

3. Concurrent updates with RCU

4. Partial snapshot objects

Cited by 23 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. Kanva: A Lock-free Learned Search Data Structure;Proceedings of the 53rd International Conference on Parallel Processing;2024-08-12

2. A data-driven clustering approach for assessing spatiotemporal vulnerability to urban emergencies;Sustainable Cities and Society;2024-08

3. Brief Announcement: LIT: Lookup Interlocked Table for Range Queries;Proceedings of the 36th ACM Symposium on Parallelism in Algorithms and Architectures;2024-06-17

4. Wait-free Trees with Asymptotically-Efficient Range Queries;2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2024-05-27

5. VERLIB: Concurrent Versioned Pointers;Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming;2024-02-20

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3