基于模板的多媒体应用程序半自动分析

C. Poucet, David Atienza Alonso, F. Catthoor
{"title":"基于模板的多媒体应用程序半自动分析","authors":"C. Poucet, David Atienza Alonso, F. Catthoor","doi":"10.1109/ICME.2006.262717","DOIUrl":null,"url":null,"abstract":"Modern multimedia applications possess a very dynamic use of the memory hierarchy depending on the actual input, therefore requiring run-time profiling techniques to enable optimizations. Because they can contain hundreds of thousands of lines of complex object-oriented specifications, this constitutes a tedious time-consuming task since the addition of profilecode is usually performed manually. In this paper, we present a high-level library-based approach for profiling both statically and dynamically defined variables using templates in C++. Our results in the visual texture coder of the MPEG4 standard show that using the information it provides, we can easily achieve 70.56% energy savings and 19.22% memory access reduction","PeriodicalId":339258,"journal":{"name":"2006 IEEE International Conference on Multimedia and Expo","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Template-Based Semi-Automatic Profiling of Multimedia Applications\",\"authors\":\"C. Poucet, David Atienza Alonso, F. Catthoor\",\"doi\":\"10.1109/ICME.2006.262717\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Modern multimedia applications possess a very dynamic use of the memory hierarchy depending on the actual input, therefore requiring run-time profiling techniques to enable optimizations. Because they can contain hundreds of thousands of lines of complex object-oriented specifications, this constitutes a tedious time-consuming task since the addition of profilecode is usually performed manually. In this paper, we present a high-level library-based approach for profiling both statically and dynamically defined variables using templates in C++. Our results in the visual texture coder of the MPEG4 standard show that using the information it provides, we can easily achieve 70.56% energy savings and 19.22% memory access reduction\",\"PeriodicalId\":339258,\"journal\":{\"name\":\"2006 IEEE International Conference on Multimedia and Expo\",\"volume\":\"65 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE International Conference on Multimedia and Expo\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICME.2006.262717\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE International Conference on Multimedia and Expo","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICME.2006.262717","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14

摘要

现代多媒体应用程序对内存层次结构的使用非常动态,这取决于实际输入,因此需要运行时分析技术来实现优化。因为它们可能包含数十万行复杂的面向对象规范,这构成了一项冗长而耗时的任务,因为添加概要代码通常是手动执行的。在本文中,我们提出了一种基于高级库的方法,使用c++中的模板对静态和动态定义的变量进行分析。我们在MPEG4标准的视觉纹理编码器上的结果表明,利用它提供的信息,我们可以轻松地实现70.56%的节能和19.22%的内存访问减少
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
Template-Based Semi-Automatic Profiling of Multimedia Applications
Modern multimedia applications possess a very dynamic use of the memory hierarchy depending on the actual input, therefore requiring run-time profiling techniques to enable optimizations. Because they can contain hundreds of thousands of lines of complex object-oriented specifications, this constitutes a tedious time-consuming task since the addition of profilecode is usually performed manually. In this paper, we present a high-level library-based approach for profiling both statically and dynamically defined variables using templates in C++. Our results in the visual texture coder of the MPEG4 standard show that using the information it provides, we can easily achieve 70.56% energy savings and 19.22% memory access reduction
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
Acoustic Echo Cancellation in a Channel with Rapidly Varying Gain A Two-Layer Graphical Model for Combined Video Shot and Scene Boundary Detection SCCS: A Scalable Clustered Camera System for Multiple Object Tracking Communicating Via Message Passing Interface Identification and Detection of the Same Scene Based on Flash Light Patterns Bandwidth Estimation in Wireless Lans for Multimedia Streaming Services
×
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