{"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}
引用次数: 0
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.