A. Mehrabian, Shuai Sun, Vikram K. Narayana, Jeff Anderson, Jiaxin Peng, V. Sorger, T. El-Ghazawi
{"title":"D3NoC: a dynamic data-driven hybrid photonic plasmonic NoC","authors":"A. Mehrabian, Shuai Sun, Vikram K. Narayana, Jeff Anderson, Jiaxin Peng, V. Sorger, T. El-Ghazawi","doi":"10.1145/3203217.3203272","DOIUrl":null,"url":null,"abstract":"It was previously shown that Hybrid Photonic Plasmonic Interconnect (HyPPI) is an efficient candidate for augmenting electronic network on chips (NoCs). Here we introduce a reconfigurable Hybrid Photonic Plasmonic NoC termed D3NOC, which intelligently augments electrical meshes with a hybrid photon-plasmon interconnect express bus. The intelligence uses the Dynamic Data Driven Application System (DDDAS) paradigm, where computations and measurements form a dynamic closed feedback loop. Our results show up to 67% latency improvements and 69% dynamic power net improvements beyond overhead-corrected performance compared to a 16 × 16 base electrical mesh.","PeriodicalId":127096,"journal":{"name":"Proceedings of the 15th ACM International Conference on Computing Frontiers","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 15th ACM International Conference on Computing Frontiers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3203217.3203272","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
It was previously shown that Hybrid Photonic Plasmonic Interconnect (HyPPI) is an efficient candidate for augmenting electronic network on chips (NoCs). Here we introduce a reconfigurable Hybrid Photonic Plasmonic NoC termed D3NOC, which intelligently augments electrical meshes with a hybrid photon-plasmon interconnect express bus. The intelligence uses the Dynamic Data Driven Application System (DDDAS) paradigm, where computations and measurements form a dynamic closed feedback loop. Our results show up to 67% latency improvements and 69% dynamic power net improvements beyond overhead-corrected performance compared to a 16 × 16 base electrical mesh.