FEM-based Thermal Profile Prediction for Thermal Management of System-on-Chips

A. Oukaira, Djallel Eddine Touati, Ahmad Hassan, Mohamed Ali, Y. Savaria, A. Lakhssassi
{"title":"FEM-based Thermal Profile Prediction for Thermal Management of System-on-Chips","authors":"A. Oukaira, Djallel Eddine Touati, Ahmad Hassan, Mohamed Ali, Y. Savaria, A. Lakhssassi","doi":"10.1109/ICOA55659.2022.9934719","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a thermal profile based on the finite element method (FEM). The proposed model is used to predict the temperature profile of the Xilinx™ SPARTAN-3E Field-Programmable Gate Array (FPGA) board during one day. In addition, thermal measurements based on infrared thermography are performed to validate our thermal profiles. These predicted profiles are compared to the temperature maps obtained with a thermal camera over 24 hours. A good agreement, with a maximum error of 1.8 °C, between the predicted and measured temperatures is obtained, which helps a lot in the proper functioning and the thermal management of the system-on-chips (SoC).","PeriodicalId":345017,"journal":{"name":"2022 8th International Conference on Optimization and Applications (ICOA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 8th International Conference on Optimization and Applications (ICOA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOA55659.2022.9934719","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

In this paper, we propose a thermal profile based on the finite element method (FEM). The proposed model is used to predict the temperature profile of the Xilinx™ SPARTAN-3E Field-Programmable Gate Array (FPGA) board during one day. In addition, thermal measurements based on infrared thermography are performed to validate our thermal profiles. These predicted profiles are compared to the temperature maps obtained with a thermal camera over 24 hours. A good agreement, with a maximum error of 1.8 °C, between the predicted and measured temperatures is obtained, which helps a lot in the proper functioning and the thermal management of the system-on-chips (SoC).
基于fem的片上系统热管理热剖面预测
在本文中,我们提出了一个基于有限元法(FEM)的热剖面。该模型用于预测Xilinx™SPARTAN-3E现场可编程门阵列(FPGA)板在一天内的温度分布。此外,还进行了基于红外热成像的热测量来验证我们的热剖面。将这些预测剖面与热像仪在24小时内获得的温度图进行比较。预测温度与测量温度之间的最大误差为1.8°C,这对片上系统(SoC)的正常工作和热管理有很大帮助。
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