{"title":"Topological Structure and Physical Layout Codesign for Wavelength-Routed Optical Networks-on-Chip","authors":"Yu-Sheng Lu, Sheng-Jung Yu, Yao-Wen Chang","doi":"10.1109/DAC18072.2020.9218625","DOIUrl":null,"url":null,"abstract":"The wavelength-routed optical network-on-chip (WRONoC) is a promising solution for signal transmission in modern system-on-chip (SoC) designs. Previous works do not handle three main issues for WRONoCs: correlations between the topological structure and physical layout, trade-offs between the maximum insertion loss and wavelength power, and a fully automated flow to generate predictable designs. As a result, the insertion loss estimation is inaccurate, and thus only suboptimal results are obtained. To remedy these disadvantages, we present a fully automated topological structure and physical layout codesign flow to minimize the maximum insertion loss and the wavelength power simultaneously with a significant speedup. Experimental results show that our codesign flow significantly outperforms state-of-the-art works in the maximum insertion loss, wavelength power, and runtimes.","PeriodicalId":428807,"journal":{"name":"2020 57th ACM/IEEE Design Automation Conference (DAC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 57th ACM/IEEE Design Automation Conference (DAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DAC18072.2020.9218625","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
The wavelength-routed optical network-on-chip (WRONoC) is a promising solution for signal transmission in modern system-on-chip (SoC) designs. Previous works do not handle three main issues for WRONoCs: correlations between the topological structure and physical layout, trade-offs between the maximum insertion loss and wavelength power, and a fully automated flow to generate predictable designs. As a result, the insertion loss estimation is inaccurate, and thus only suboptimal results are obtained. To remedy these disadvantages, we present a fully automated topological structure and physical layout codesign flow to minimize the maximum insertion loss and the wavelength power simultaneously with a significant speedup. Experimental results show that our codesign flow significantly outperforms state-of-the-art works in the maximum insertion loss, wavelength power, and runtimes.