Energy Profiling Using IgProf

Kashif Nizam Khan, Filip Nyback, Zhonghong Ou, J. Nurminen, T. Niemi, G. Eulisse, P. Elmer, David Abdurachmanov
{"title":"Energy Profiling Using IgProf","authors":"Kashif Nizam Khan, Filip Nyback, Zhonghong Ou, J. Nurminen, T. Niemi, G. Eulisse, P. Elmer, David Abdurachmanov","doi":"10.1109/CCGrid.2015.118","DOIUrl":null,"url":null,"abstract":"Energy efficiency has become a primary concern for data centers in recent years. Understanding where the energy has been spent within a software is fundamental for energy-efficiency study as a whole. In this paper, we take the first step towards this direction by building an energy profiling module on top of IgProf. IgProf is an application profiler developed at CERN for scientific computing workloads. The energy profiling module is based on sampling and obtains energy measurements from the Running Average Power Limit (RAPL) interface present on the latest Intel processors. The initial profiling results of a single-threaded program demonstrates potential, showing a close correlation between the execution time and the energy spent within a function.","PeriodicalId":6664,"journal":{"name":"2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing","volume":"15 1","pages":"1115-1118"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCGrid.2015.118","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

Abstract

Energy efficiency has become a primary concern for data centers in recent years. Understanding where the energy has been spent within a software is fundamental for energy-efficiency study as a whole. In this paper, we take the first step towards this direction by building an energy profiling module on top of IgProf. IgProf is an application profiler developed at CERN for scientific computing workloads. The energy profiling module is based on sampling and obtains energy measurements from the Running Average Power Limit (RAPL) interface present on the latest Intel processors. The initial profiling results of a single-threaded program demonstrates potential, showing a close correlation between the execution time and the energy spent within a function.
使用IgProf进行能量分析
近年来,能源效率已成为数据中心的主要关注点。了解能源在软件中的使用情况是整体能效研究的基础。在本文中,我们通过在IgProf之上构建一个能量分析模块,向这个方向迈出了第一步。IgProf是欧洲核子研究中心为科学计算工作负载开发的应用程序分析器。能量分析模块基于采样,并从最新英特尔处理器上的运行平均功率限制(RAPL)接口获得能量测量。单线程程序的初始分析结果显示了潜力,显示了执行时间和函数内花费的精力之间的密切关联。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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