微处理器仿真的自监控自适应缓存预热

Yue Luo, L. John, L. Eeckhout
{"title":"微处理器仿真的自监控自适应缓存预热","authors":"Yue Luo, L. John, L. Eeckhout","doi":"10.1109/CAHPC.2004.38","DOIUrl":null,"url":null,"abstract":"Simulation is the most important tool for computer architects to evaluate the performance of new computer designs. However, detailed simulation is extremely time consuming. Sampling is one of the techniques that effectively reduce simulation time. In order to achieve accurate sampling results, microarchitectural structure must be adequately warmed up before each measurement. In this paper, a new technique for warming up microprocessor caches is proposed. The simulator monitors the warm-up process of the caches and decides when the caches are warmed up based on simple heuristics. In our experiments the self-monitored adaptive (SMA) warm-up technique on average exhibits only 0.2% warm-up error in CPI. SMA achieves smaller warm-up error with only 1/2-1/3 of the warm-up length of previous methods. In addition, it is adaptive to the cache configuration simulated. For simulating small caches, the SMA technique can reduce the warm-up overhead by an order of magnitude compared to previous techniques. Finally, SMA gives the user some indicator of warm-up error at the end of the cycle-accurate simulation that helps the user to gauge the accuracy of the warm-up.","PeriodicalId":375288,"journal":{"name":"16th Symposium on Computer Architecture and High Performance Computing","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":"{\"title\":\"Self-monitored adaptive cache warm-up for microprocessor simulation\",\"authors\":\"Yue Luo, L. John, L. Eeckhout\",\"doi\":\"10.1109/CAHPC.2004.38\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Simulation is the most important tool for computer architects to evaluate the performance of new computer designs. However, detailed simulation is extremely time consuming. Sampling is one of the techniques that effectively reduce simulation time. In order to achieve accurate sampling results, microarchitectural structure must be adequately warmed up before each measurement. In this paper, a new technique for warming up microprocessor caches is proposed. The simulator monitors the warm-up process of the caches and decides when the caches are warmed up based on simple heuristics. In our experiments the self-monitored adaptive (SMA) warm-up technique on average exhibits only 0.2% warm-up error in CPI. SMA achieves smaller warm-up error with only 1/2-1/3 of the warm-up length of previous methods. In addition, it is adaptive to the cache configuration simulated. For simulating small caches, the SMA technique can reduce the warm-up overhead by an order of magnitude compared to previous techniques. Finally, SMA gives the user some indicator of warm-up error at the end of the cycle-accurate simulation that helps the user to gauge the accuracy of the warm-up.\",\"PeriodicalId\":375288,\"journal\":{\"name\":\"16th Symposium on Computer Architecture and High Performance Computing\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"26\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"16th Symposium on Computer Architecture and High Performance Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CAHPC.2004.38\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"16th Symposium on Computer Architecture and High Performance Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAHPC.2004.38","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 26

摘要

仿真是计算机架构师评估新计算机设计性能的最重要工具。然而,详细的模拟是非常耗时的。采样是有效缩短仿真时间的技术之一。为了获得准确的采样结果,每次测量前必须对微建筑结构进行充分的预热。本文提出了一种新的微处理器缓存预热技术。模拟器监视缓存的预热过程,并根据简单的启发式方法决定何时预热缓存。在我们的实验中,自监测自适应(SMA)热身技术在CPI中的平均热身误差仅为0.2%。SMA的预热误差较小,预热长度仅为以往方法的1/2-1/3。此外,它还能适应模拟的缓存配置。对于模拟小型缓存,与以前的技术相比,SMA技术可以将预热开销减少一个数量级。最后,SMA在周期结束时为用户提供了一些预热误差的指标——精确的模拟,帮助用户衡量预热的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Self-monitored adaptive cache warm-up for microprocessor simulation
Simulation is the most important tool for computer architects to evaluate the performance of new computer designs. However, detailed simulation is extremely time consuming. Sampling is one of the techniques that effectively reduce simulation time. In order to achieve accurate sampling results, microarchitectural structure must be adequately warmed up before each measurement. In this paper, a new technique for warming up microprocessor caches is proposed. The simulator monitors the warm-up process of the caches and decides when the caches are warmed up based on simple heuristics. In our experiments the self-monitored adaptive (SMA) warm-up technique on average exhibits only 0.2% warm-up error in CPI. SMA achieves smaller warm-up error with only 1/2-1/3 of the warm-up length of previous methods. In addition, it is adaptive to the cache configuration simulated. For simulating small caches, the SMA technique can reduce the warm-up overhead by an order of magnitude compared to previous techniques. Finally, SMA gives the user some indicator of warm-up error at the end of the cycle-accurate simulation that helps the user to gauge the accuracy of the warm-up.
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