Concurrent compaction using a field pinning protocol

Erik Österlund, Welf Löwe
{"title":"Concurrent compaction using a field pinning protocol","authors":"Erik Österlund, Welf Löwe","doi":"10.1145/2754169.2754177","DOIUrl":null,"url":null,"abstract":"Compaction of memory in long running systems has always been important. The latency of compaction increases in today’s systems with high memory demands and large heaps. To deal with this problem, we present a lock-free protocol allowing for copying concurrent with the application running, which reduces the latencies of compaction radically. It provides theoretical progress guarantees for copying and application threads without making it practically infeasible, with performance overheads of 15% on average. The algorithm paves the way for a future lock-free Garbage Collector.","PeriodicalId":136399,"journal":{"name":"Proceedings of the 2015 International Symposium on Memory Management","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2015 International Symposium on Memory Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2754169.2754177","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Compaction of memory in long running systems has always been important. The latency of compaction increases in today’s systems with high memory demands and large heaps. To deal with this problem, we present a lock-free protocol allowing for copying concurrent with the application running, which reduces the latencies of compaction radically. It provides theoretical progress guarantees for copying and application threads without making it practically infeasible, with performance overheads of 15% on average. The algorithm paves the way for a future lock-free Garbage Collector.
使用字段绑定协议的并发压缩
在长时间运行的系统中,内存的压缩一直很重要。在当今具有高内存需求和大堆的系统中,压缩延迟会增加。为了解决这个问题,我们提出了一个无锁协议,允许在应用程序运行时并发复制,这从根本上减少了压缩的延迟。它为复制和应用程序线程提供了理论上的进度保证,而不会使其在实际中变得不可行的,性能开销平均为15%。该算法为未来的无锁垃圾收集器铺平了道路。
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