多核平台上不精确计算模式变化的可调度性分析

C. Shih, Chang-Min Yang
{"title":"多核平台上不精确计算模式变化的可调度性分析","authors":"C. Shih, Chang-Min Yang","doi":"10.1145/3129676.3129720","DOIUrl":null,"url":null,"abstract":"Imprecise computation can enhance the responsiveness of computing systems but is rarely applied to embedded real-time systems due to its dynamic computation requirements. With the increasing needs of using image processing for multi-mode safety critical systems, it becomes desired on applying imprecise computation on such systems. In this paper, we extended the traditional schedulability analysis mechanisms on mode change to preemptive multi-core systems for imprecise computation so as to assure that there is no deadline miss between mode changes. The proposed method computes the mode change offset to delay the new mode up to a limit and assure that there is no deadline miss. To evaluate the schedulability of the proposed algorithms, we compare our approach with other works by simulation. The result shows that our analysis can increase schedulability by 15% to 30%, compared to the approach proposed by Lee and Shin in 2013. Moreover, the proposed approach increases the number of completed tasks during mode change up to 40%.","PeriodicalId":326100,"journal":{"name":"Proceedings of the International Conference on Research in Adaptive and Convergent Systems","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Schedulability Analysis of Mode Change for Imprecise Computation on Multi-Core Platforms\",\"authors\":\"C. Shih, Chang-Min Yang\",\"doi\":\"10.1145/3129676.3129720\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Imprecise computation can enhance the responsiveness of computing systems but is rarely applied to embedded real-time systems due to its dynamic computation requirements. With the increasing needs of using image processing for multi-mode safety critical systems, it becomes desired on applying imprecise computation on such systems. In this paper, we extended the traditional schedulability analysis mechanisms on mode change to preemptive multi-core systems for imprecise computation so as to assure that there is no deadline miss between mode changes. The proposed method computes the mode change offset to delay the new mode up to a limit and assure that there is no deadline miss. To evaluate the schedulability of the proposed algorithms, we compare our approach with other works by simulation. The result shows that our analysis can increase schedulability by 15% to 30%, compared to the approach proposed by Lee and Shin in 2013. Moreover, the proposed approach increases the number of completed tasks during mode change up to 40%.\",\"PeriodicalId\":326100,\"journal\":{\"name\":\"Proceedings of the International Conference on Research in Adaptive and Convergent Systems\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the International Conference on Research in Adaptive and Convergent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3129676.3129720\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Conference on Research in Adaptive and Convergent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3129676.3129720","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

不精确计算可以提高计算系统的响应性,但由于其动态计算需求,很少应用于嵌入式实时系统。随着多模式安全关键系统对图像处理的需求日益增加,对多模式安全关键系统进行非精确计算成为一种需要。本文将传统的模式变换可调度性分析机制扩展到抢占式多核系统中,以保证模式变换之间不存在错过时间的情况。该方法通过计算模式变化偏移量来将新模式延迟到一定限度,并确保不会错过截止日期。为了评估所提出算法的可调度性,我们将该方法与其他工作进行了仿真比较。结果表明,与Lee和Shin在2013年提出的方法相比,我们的分析可以将可调度性提高15%到30%。此外,该方法将模式转换期间完成的任务数量增加了40%。
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
Schedulability Analysis of Mode Change for Imprecise Computation on Multi-Core Platforms
Imprecise computation can enhance the responsiveness of computing systems but is rarely applied to embedded real-time systems due to its dynamic computation requirements. With the increasing needs of using image processing for multi-mode safety critical systems, it becomes desired on applying imprecise computation on such systems. In this paper, we extended the traditional schedulability analysis mechanisms on mode change to preemptive multi-core systems for imprecise computation so as to assure that there is no deadline miss between mode changes. The proposed method computes the mode change offset to delay the new mode up to a limit and assure that there is no deadline miss. To evaluate the schedulability of the proposed algorithms, we compare our approach with other works by simulation. The result shows that our analysis can increase schedulability by 15% to 30%, compared to the approach proposed by Lee and Shin in 2013. Moreover, the proposed approach increases the number of completed tasks during mode change up to 40%.
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
An Extrinsic Depth Camera Calibration Method for Narrow Field of View Color Camera Motion Mode Recognition for Traffic Safety in Campus Guiding Application Failure Prediction by Utilizing Log Analysis: A Systematic Mapping Study PerfNet Road Surface Profiling based on Artificial-Neural Networks
×
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