Reducing transaction aborts by looking to the future

Nachshon Cohen, E. Petrank, J. Larus
{"title":"Reducing transaction aborts by looking to the future","authors":"Nachshon Cohen, E. Petrank, J. Larus","doi":"10.1145/3178487.3178518","DOIUrl":null,"url":null,"abstract":"Transactions are widely used in database engines and they becoming increasingly useful as a general synchronization technique for multicore machines [1]. Transactional systems allow a programmer to encapsulate multiple operations inside a transaction. All these operations appear to be executed atomically or not at all.","PeriodicalId":193776,"journal":{"name":"Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming","volume":"220 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3178487.3178518","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Transactions are widely used in database engines and they becoming increasingly useful as a general synchronization technique for multicore machines [1]. Transactional systems allow a programmer to encapsulate multiple operations inside a transaction. All these operations appear to be executed atomically or not at all.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
通过展望未来来减少事务中止
事务在数据库引擎中得到了广泛的应用,并且作为多核机器[1]的通用同步技术,它们变得越来越有用。事务系统允许程序员将多个操作封装在一个事务中。所有这些操作似乎都是自动执行的,或者根本不执行。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Graph partitioning applied to DAG scheduling to reduce NUMA effects Juggler: a dependence-aware task-based execution framework for GPUs Performance modeling for GPUs using abstract kernel emulation Automated code acceleration targeting heterogeneous openCL devices Layrub: layer-centric GPU memory reuse and data migration in extreme-scale deep learning systems
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1