基于java的中间件的内存系统行为

Martin Karlsson, Kevin E. Moore, Erik Hagersten, D. Wood
{"title":"基于java的中间件的内存系统行为","authors":"Martin Karlsson, Kevin E. Moore, Erik Hagersten, D. Wood","doi":"10.1109/HPCA.2003.1183540","DOIUrl":null,"url":null,"abstract":"In this paper, we present a detailed characterization of the memory system, behavior of ECperf and SPECjbb using both commercial server hardware and Simics full-system simulation. We find that the memory footprint and primary working sets of these workloads are small compared to other commercial workloads (e.g. on-line transaction processing), and that a large fraction of the working sets are shared between processors. We observed two key differences between ECperf and SPECjbb that highlight the importance of isolating the behavior of the middle tier. First, ECperf has a larger instruction footprint, resulting in much higher miss rates for intermediate-size instruction caches. Second, SPECjbb's data set size increases linearly as the benchmark scales up, while ECperf's remains roughly constant. This difference can lead to opposite conclusions on the design of multiprocessor memory systems, such as the utility of moderate sized (i.e. 1 MB) shared caches in a chip multiprocessor.","PeriodicalId":150992,"journal":{"name":"The Ninth International Symposium on High-Performance Computer Architecture, 2003. HPCA-9 2003. Proceedings.","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"63","resultStr":"{\"title\":\"Memory system behavior of Java-based middleware\",\"authors\":\"Martin Karlsson, Kevin E. Moore, Erik Hagersten, D. Wood\",\"doi\":\"10.1109/HPCA.2003.1183540\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a detailed characterization of the memory system, behavior of ECperf and SPECjbb using both commercial server hardware and Simics full-system simulation. We find that the memory footprint and primary working sets of these workloads are small compared to other commercial workloads (e.g. on-line transaction processing), and that a large fraction of the working sets are shared between processors. We observed two key differences between ECperf and SPECjbb that highlight the importance of isolating the behavior of the middle tier. First, ECperf has a larger instruction footprint, resulting in much higher miss rates for intermediate-size instruction caches. Second, SPECjbb's data set size increases linearly as the benchmark scales up, while ECperf's remains roughly constant. This difference can lead to opposite conclusions on the design of multiprocessor memory systems, such as the utility of moderate sized (i.e. 1 MB) shared caches in a chip multiprocessor.\",\"PeriodicalId\":150992,\"journal\":{\"name\":\"The Ninth International Symposium on High-Performance Computer Architecture, 2003. HPCA-9 2003. Proceedings.\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-02-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"63\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Ninth International Symposium on High-Performance Computer Architecture, 2003. HPCA-9 2003. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HPCA.2003.1183540\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Ninth International Symposium on High-Performance Computer Architecture, 2003. HPCA-9 2003. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPCA.2003.1183540","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 63

摘要

在本文中,我们详细描述了内存系统,ECperf和SPECjbb的行为,使用商用服务器硬件和Simics全系统仿真。我们发现,与其他商业工作负载(例如在线事务处理)相比,这些工作负载的内存占用和主要工作集很小,而且大部分工作集在处理器之间共享。我们观察到ECperf和SPECjbb之间的两个关键区别,它们突出了隔离中间层行为的重要性。首先,ECperf具有较大的指令占用,导致中等大小的指令缓存的缺失率要高得多。其次,SPECjbb的数据集大小随着基准扩展呈线性增长,而ECperf的数据集大小大致保持不变。这种差异可能会导致在多处理器内存系统的设计上得出相反的结论,例如在芯片多处理器中使用中等大小(即1 MB)的共享缓存。
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
Memory system behavior of Java-based middleware
In this paper, we present a detailed characterization of the memory system, behavior of ECperf and SPECjbb using both commercial server hardware and Simics full-system simulation. We find that the memory footprint and primary working sets of these workloads are small compared to other commercial workloads (e.g. on-line transaction processing), and that a large fraction of the working sets are shared between processors. We observed two key differences between ECperf and SPECjbb that highlight the importance of isolating the behavior of the middle tier. First, ECperf has a larger instruction footprint, resulting in much higher miss rates for intermediate-size instruction caches. Second, SPECjbb's data set size increases linearly as the benchmark scales up, while ECperf's remains roughly constant. This difference can lead to opposite conclusions on the design of multiprocessor memory systems, such as the utility of moderate sized (i.e. 1 MB) shared caches in a chip multiprocessor.
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
Dynamic voltage scaling with links for power optimization of interconnection networks Memory system behavior of Java-based middleware Mini-threads: increasing TLP on small-scale SMT processors Performance enhancement techniques for InfiniBand/sup TM/ Architecture Deterministic clock gating for microprocessor power reduction
×
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