性能计数器可以为内存子系统分析做什么?

S. Eranian
{"title":"性能计数器可以为内存子系统分析做什么?","authors":"S. Eranian","doi":"10.1145/1353522.1353531","DOIUrl":null,"url":null,"abstract":"Nowadays, all major processors provide a set of performance counters which capture micro-architectural level information, such as the number of elapsed cycles, cache misses, or instructions executed. Counters can be found in processor cores, processor die, chipsets, or in I/O cards. They can provide a wealth of information as to how the hardware is being used by software. Many processors now support events to measure precisely and with very limited overhead, the traffic between a core and the memory subsystem. It is possible to compute average load latency and bus band-width utilization. This valuable information can be used to improve code quality and placement of threads to maximize hardware utilization.\n We postulate that performance counters are the key hardware resource to locate and understand issues related to the memory subsystem. In this paper we illustrate our position by showing how certain key memory performance metrics can be gathered easily on today's hardware.","PeriodicalId":130040,"journal":{"name":"Workshop on Memory System Performance and Correctness","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"73","resultStr":"{\"title\":\"What can performance counters do for memory subsystem analysis?\",\"authors\":\"S. Eranian\",\"doi\":\"10.1145/1353522.1353531\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays, all major processors provide a set of performance counters which capture micro-architectural level information, such as the number of elapsed cycles, cache misses, or instructions executed. Counters can be found in processor cores, processor die, chipsets, or in I/O cards. They can provide a wealth of information as to how the hardware is being used by software. Many processors now support events to measure precisely and with very limited overhead, the traffic between a core and the memory subsystem. It is possible to compute average load latency and bus band-width utilization. This valuable information can be used to improve code quality and placement of threads to maximize hardware utilization.\\n We postulate that performance counters are the key hardware resource to locate and understand issues related to the memory subsystem. In this paper we illustrate our position by showing how certain key memory performance metrics can be gathered easily on today's hardware.\",\"PeriodicalId\":130040,\"journal\":{\"name\":\"Workshop on Memory System Performance and Correctness\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-03-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"73\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Workshop on Memory System Performance and Correctness\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1353522.1353531\",\"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/10.1145/1353522.1353531","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 73

摘要

现在,所有主要的处理器都提供了一组性能计数器,用于捕获微体系结构级别的信息,例如经过的周期数、缓存丢失或执行的指令。计数器可以在处理器内核、处理器芯片、芯片组或I/O卡中找到。它们可以提供关于软件如何使用硬件的大量信息。现在,许多处理器都支持事件,以便在非常有限的开销下精确测量内核和内存子系统之间的流量。可以计算平均负载延迟和总线带宽利用率。这些有价值的信息可用于改进代码质量和线程的位置,以最大限度地提高硬件利用率。我们假设性能计数器是定位和理解与内存子系统相关的问题的关键硬件资源。在本文中,我们通过展示如何在当今的硬件上轻松收集某些关键内存性能指标来说明我们的立场。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
What can performance counters do for memory subsystem analysis?
Nowadays, all major processors provide a set of performance counters which capture micro-architectural level information, such as the number of elapsed cycles, cache misses, or instructions executed. Counters can be found in processor cores, processor die, chipsets, or in I/O cards. They can provide a wealth of information as to how the hardware is being used by software. Many processors now support events to measure precisely and with very limited overhead, the traffic between a core and the memory subsystem. It is possible to compute average load latency and bus band-width utilization. This valuable information can be used to improve code quality and placement of threads to maximize hardware utilization. We postulate that performance counters are the key hardware resource to locate and understand issues related to the memory subsystem. In this paper we illustrate our position by showing how certain key memory performance metrics can be gathered easily on today's hardware.
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