高级建模中NoC吞吐量搜索的自动化

A. Amerikanov, A. Ponomarev, T.V. Tarzhanov
{"title":"高级建模中NoC吞吐量搜索的自动化","authors":"A. Amerikanov, A. Ponomarev, T.V. Tarzhanov","doi":"10.1109/MWENT55238.2022.9802389","DOIUrl":null,"url":null,"abstract":"This work is devoted to the development of a single environment for high-level Network-on-Chip (NoC) modeling. The developed environment includes several high-level models and optimization methods. This concept allows for more accurate modeling and reduces simulation time. The concept of the software environment is proposed, and the requirements for added models are described. Methods for optimizing the process of high-level NoC modeling (the comparative method, parallel launch of several models, binary search method, golden section method, similarity method) are developed and tested. Modelling results are studied using the methods proposed.","PeriodicalId":218866,"journal":{"name":"2022 Moscow Workshop on Electronic and Networking Technologies (MWENT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automation of NoC throughput search in high-level modeling\",\"authors\":\"A. Amerikanov, A. Ponomarev, T.V. Tarzhanov\",\"doi\":\"10.1109/MWENT55238.2022.9802389\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work is devoted to the development of a single environment for high-level Network-on-Chip (NoC) modeling. The developed environment includes several high-level models and optimization methods. This concept allows for more accurate modeling and reduces simulation time. The concept of the software environment is proposed, and the requirements for added models are described. Methods for optimizing the process of high-level NoC modeling (the comparative method, parallel launch of several models, binary search method, golden section method, similarity method) are developed and tested. Modelling results are studied using the methods proposed.\",\"PeriodicalId\":218866,\"journal\":{\"name\":\"2022 Moscow Workshop on Electronic and Networking Technologies (MWENT)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 Moscow Workshop on Electronic and Networking Technologies (MWENT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MWENT55238.2022.9802389\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Moscow Workshop on Electronic and Networking Technologies (MWENT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MWENT55238.2022.9802389","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本工作致力于开发用于高级片上网络(NoC)建模的单一环境。开发的环境包括几个高级模型和优化方法。这个概念允许更精确的建模和减少仿真时间。提出了软件环境的概念,描述了添加模型的需求。开发并试验了优化NoC高级建模过程的方法(比较法、多个模型并行启动法、二分搜索法、黄金分割法、相似法)。利用所提出的方法对建模结果进行了研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automation of NoC throughput search in high-level modeling
This work is devoted to the development of a single environment for high-level Network-on-Chip (NoC) modeling. The developed environment includes several high-level models and optimization methods. This concept allows for more accurate modeling and reduces simulation time. The concept of the software environment is proposed, and the requirements for added models are described. Methods for optimizing the process of high-level NoC modeling (the comparative method, parallel launch of several models, binary search method, golden section method, similarity method) are developed and tested. Modelling results are studied using the methods proposed.
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