Every data structure deserves lock-free memory reclamation

Author:

Cohen Nachshon1

Affiliation:

1. EPFL, Switzerland

Abstract

Memory-management support for lock-free data structures is well known to be a tough problem. Recent work has successfully reduced the overhead of such schemes. However, applying memory-management support to a data structure remains complex and, in many cases, requires redesigning the data structure. In this paper, we present the first lock-free memory-management scheme that is applicable to general (arbitrary) lock-free data structures and that can be applied automatically via a compiler plug-in. In addition to the simplicity of incorporating to data structures, this scheme provides low overhead and does not rely on the lock freedom of any OS services.

Publisher

Association for Computing Machinery (ACM)

Subject

Safety, Risk, Reliability and Quality,Software

Cited by 17 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. Simple, Fast and Widely Applicable Concurrent Memory Reclamation via Neutralization;IEEE Transactions on Parallel and Distributed Systems;2024-02

2. Applying Hazard Pointers to More Concurrent Data Structures;Proceedings of the 35th ACM Symposium on Parallelism in Algorithms and Architectures;2023-06-17

3. Releasing Memory with Optimistic Access: A Hybrid Approach to Memory Reclamation and Allocation in Lock-Free Programs;Proceedings of the 35th ACM Symposium on Parallelism in Algorithms and Architectures;2023-06-17

4. Efficient Hardware Primitives for Immediate Memory Reclamation in Optimistic Data Structures;2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2023-05

5. The ERA Theorem for Safe Memory Reclamation;Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming;2023-02-21

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