C. Lent, K. Henderson, S. Kandel, S. Corcelli, G. Snider, A. Orlov, P. Kogge, M. Niemier, Ryan C. Brown, J. Christie, Natalie A. Wasio, Rebecca C. Quardokus, R. P. Forrest, Jacob P. Peterson, Angela Silski, David A. Turner, E. Blair, Yuhui Lu
{"title":"Molecular cellular networks: A non von Neumann architecture for molecular electronics","authors":"C. Lent, K. Henderson, S. Kandel, S. Corcelli, G. Snider, A. Orlov, P. Kogge, M. Niemier, Ryan C. Brown, J. Christie, Natalie A. Wasio, Rebecca C. Quardokus, R. P. Forrest, Jacob P. Peterson, Angela Silski, David A. Turner, E. Blair, Yuhui Lu","doi":"10.1109/ICRC.2016.7738699","DOIUrl":null,"url":null,"abstract":"The two fundamental limitations of the present computing paradigm are power dissipation from transistor switching and the architectural von Neumann bottleneck that segregates processing from memory. We examine a cellular architecture which radically intermixes memory and processing, and which is based on a transistor-less approach to representing binary information using the arrangement of charge within the molecule. Representing bits by molecular configuration, rather than a current switch, yields the limits of functional density and low power dissipation. Matching a new computational element to a new architectural framework could enable general purpose computing to evolve along a new roadmap.","PeriodicalId":387008,"journal":{"name":"2016 IEEE International Conference on Rebooting Computing (ICRC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Rebooting Computing (ICRC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRC.2016.7738699","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 23
Abstract
The two fundamental limitations of the present computing paradigm are power dissipation from transistor switching and the architectural von Neumann bottleneck that segregates processing from memory. We examine a cellular architecture which radically intermixes memory and processing, and which is based on a transistor-less approach to representing binary information using the arrangement of charge within the molecule. Representing bits by molecular configuration, rather than a current switch, yields the limits of functional density and low power dissipation. Matching a new computational element to a new architectural framework could enable general purpose computing to evolve along a new roadmap.