多线程应用中内存系统调度的跟踪驱动仿真

Peng Fei Zhu, Mingyu Chen, Yungang Bao, Licheng Chen, Yongbing Huang
{"title":"多线程应用中内存系统调度的跟踪驱动仿真","authors":"Peng Fei Zhu, Mingyu Chen, Yungang Bao, Licheng Chen, Yongbing Huang","doi":"10.1145/2247684.2247691","DOIUrl":null,"url":null,"abstract":"Along with commercial chip-multiprocessors (CMPs) integrating more and more cores, memory systems are playing an increasingly important role in multithread applications. Currently, trace-driven simulation is widely adopted in memory system scheduling research, since it is faster than execution-driven simulation and does not require data computation. On the contrary, due to the same reason, its trace replay for concurrent thread execution lacks data information and contains only addresses, so misplacement occurs in simulations when the trace of one thread runs ahead or behind others. This kind of distortion can cause remarkable errors during research. As shown in our experiment, trace misplacement causes an error rate of up to 10.22% in the metrics, including weighted IPC speedup, harmonic mean of IPC, and CPI throughput. This paper presents a methodology to avoid trace misplacement in trace-driven simulation and to ensure the accuracy of memory scheduling simulation in multithread applications, thus revealing a reliable means to study inter-thread actions in memory systems.","PeriodicalId":130040,"journal":{"name":"Workshop on Memory System Performance and Correctness","volume":"515 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Trace-driven simulation of memory system scheduling in multithread application\",\"authors\":\"Peng Fei Zhu, Mingyu Chen, Yungang Bao, Licheng Chen, Yongbing Huang\",\"doi\":\"10.1145/2247684.2247691\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Along with commercial chip-multiprocessors (CMPs) integrating more and more cores, memory systems are playing an increasingly important role in multithread applications. Currently, trace-driven simulation is widely adopted in memory system scheduling research, since it is faster than execution-driven simulation and does not require data computation. On the contrary, due to the same reason, its trace replay for concurrent thread execution lacks data information and contains only addresses, so misplacement occurs in simulations when the trace of one thread runs ahead or behind others. This kind of distortion can cause remarkable errors during research. As shown in our experiment, trace misplacement causes an error rate of up to 10.22% in the metrics, including weighted IPC speedup, harmonic mean of IPC, and CPI throughput. This paper presents a methodology to avoid trace misplacement in trace-driven simulation and to ensure the accuracy of memory scheduling simulation in multithread applications, thus revealing a reliable means to study inter-thread actions in memory systems.\",\"PeriodicalId\":130040,\"journal\":{\"name\":\"Workshop on Memory System Performance and Correctness\",\"volume\":\"515 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Workshop on Memory System Performance and Correctness\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2247684.2247691\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Workshop on Memory System Performance and Correctness","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2247684.2247691","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

随着商用芯片多处理器(cmp)集成越来越多的核心,存储系统在多线程应用中扮演着越来越重要的角色。由于跟踪驱动仿真比执行驱动仿真速度快,且不需要数据计算,目前在内存系统调度研究中被广泛采用。相反,由于同样的原因,它对并发线程执行的跟踪重放缺乏数据信息,只包含地址,因此在模拟中,当一个线程的跟踪运行在其他线程的前面或后面时,会发生错位。这种扭曲会在研究过程中造成显著的误差。如我们的实验所示,跟踪错位导致的指标错误率高达10.22%,包括加权IPC加速、IPC谐波平均值和CPI吞吐量。本文提出了一种在跟踪驱动仿真中避免跟踪错位和保证多线程应用中内存调度仿真准确性的方法,从而为研究内存系统中的线程间行为提供了一种可靠的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Trace-driven simulation of memory system scheduling in multithread application
Along with commercial chip-multiprocessors (CMPs) integrating more and more cores, memory systems are playing an increasingly important role in multithread applications. Currently, trace-driven simulation is widely adopted in memory system scheduling research, since it is faster than execution-driven simulation and does not require data computation. On the contrary, due to the same reason, its trace replay for concurrent thread execution lacks data information and contains only addresses, so misplacement occurs in simulations when the trace of one thread runs ahead or behind others. This kind of distortion can cause remarkable errors during research. As shown in our experiment, trace misplacement causes an error rate of up to 10.22% in the metrics, including weighted IPC speedup, harmonic mean of IPC, and CPI throughput. This paper presents a methodology to avoid trace misplacement in trace-driven simulation and to ensure the accuracy of memory scheduling simulation in multithread applications, thus revealing a reliable means to study inter-thread actions in memory systems.
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
期刊最新文献
All-window data liveness Cache rationing for multicore Software-controlled transparent management of heterogeneous memory resources in virtualized systems Program-centric cost models for locality A study of data structures with a deep heap shape
×
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