JPortal:使用Intel处理器跟踪精确高效的JVM程序控制流跟踪

Zhiqiang Zuo, Kai Ji, Yifei Wang, W. Tao, Linzhang Wang, Xuandong Li, G. Xu
{"title":"JPortal:使用Intel处理器跟踪精确高效的JVM程序控制流跟踪","authors":"Zhiqiang Zuo, Kai Ji, Yifei Wang, W. Tao, Linzhang Wang, Xuandong Li, G. Xu","doi":"10.1145/3453483.3454096","DOIUrl":null,"url":null,"abstract":"Hardware tracing modules such as Intel Processor Trace perform continuous control-flow tracing of an end-to-end program execution with an ultra-low overhead. PT has been used in a variety of contexts to support applications such as testing, debugging, and performance diagnosis. However, these hardware modules have so far been used only to trace native programs, which are directly compiled down to machine code. As high-level languages (HLL) such as Java and Go become increasingly popular, there is a pressing need to extend these benefits to the HLL community. This paper presents JPortal, a JVM-based profiling tool that bridges the gap between HLL applications and low-level hardware traces by using a set of algorithms to precisely recover an HLL program’s control flow from PT traces. An evaluation of JPortal with the DaCapo benchmark shows that JPortal achieves an overall 80% accuracy for end-to-end control flow profiling with only a 4-16% runtime overhead.","PeriodicalId":20557,"journal":{"name":"Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation","volume":"239 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"JPortal: precise and efficient control-flow tracing for JVM programs with Intel processor trace\",\"authors\":\"Zhiqiang Zuo, Kai Ji, Yifei Wang, W. Tao, Linzhang Wang, Xuandong Li, G. Xu\",\"doi\":\"10.1145/3453483.3454096\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Hardware tracing modules such as Intel Processor Trace perform continuous control-flow tracing of an end-to-end program execution with an ultra-low overhead. PT has been used in a variety of contexts to support applications such as testing, debugging, and performance diagnosis. However, these hardware modules have so far been used only to trace native programs, which are directly compiled down to machine code. As high-level languages (HLL) such as Java and Go become increasingly popular, there is a pressing need to extend these benefits to the HLL community. This paper presents JPortal, a JVM-based profiling tool that bridges the gap between HLL applications and low-level hardware traces by using a set of algorithms to precisely recover an HLL program’s control flow from PT traces. An evaluation of JPortal with the DaCapo benchmark shows that JPortal achieves an overall 80% accuracy for end-to-end control flow profiling with only a 4-16% runtime overhead.\",\"PeriodicalId\":20557,\"journal\":{\"name\":\"Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation\",\"volume\":\"239 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3453483.3454096\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3453483.3454096","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

硬件跟踪模块(如Intel Processor Trace)以极低的开销执行端到端程序执行的连续控制流跟踪。PT已用于各种上下文中,以支持测试、调试和性能诊断等应用程序。然而,到目前为止,这些硬件模块仅用于跟踪本机程序,这些程序直接编译为机器码。随着Java和Go等高级语言(HLL)越来越流行,迫切需要将这些好处扩展到HLL社区。本文介绍了JPortal,这是一个基于jvm的分析工具,它通过使用一组算法精确地从PT跟踪中恢复HLL程序的控制流,弥合了HLL应用程序和低级硬件跟踪之间的差距。使用DaCapo基准测试对JPortal进行的评估表明,JPortal在端到端控制流分析方面实现了80%的总体准确度,而运行时开销仅为4-16%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
JPortal: precise and efficient control-flow tracing for JVM programs with Intel processor trace
Hardware tracing modules such as Intel Processor Trace perform continuous control-flow tracing of an end-to-end program execution with an ultra-low overhead. PT has been used in a variety of contexts to support applications such as testing, debugging, and performance diagnosis. However, these hardware modules have so far been used only to trace native programs, which are directly compiled down to machine code. As high-level languages (HLL) such as Java and Go become increasingly popular, there is a pressing need to extend these benefits to the HLL community. This paper presents JPortal, a JVM-based profiling tool that bridges the gap between HLL applications and low-level hardware traces by using a set of algorithms to precisely recover an HLL program’s control flow from PT traces. An evaluation of JPortal with the DaCapo benchmark shows that JPortal achieves an overall 80% accuracy for end-to-end control flow profiling with only a 4-16% runtime overhead.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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:481959085
Book学术官方微信