{"title":"Implementation of high-performance and highly efficient computational modules using binary tree structures at the device level","authors":"R. Krishnan","doi":"10.1109/MWSCAS.1991.252078","DOIUrl":null,"url":null,"abstract":"A novel approach to build a full-adder circuit is presented using the modified binary tree. In this approach, the full adder can take only 15 transistors. In the residue-number-system-based digital signal processing architectures, look-up tables are an important computational element. Using the modified binary tree, an efficient row/column decoder is proposed for the look-up table implementation. It is observed that the look-up table based on the conventional approach occupies 26% more area and takes 1.5 ns more access time than the look-up table based on the modified binary tree.<<ETX>>","PeriodicalId":6453,"journal":{"name":"[1991] Proceedings of the 34th Midwest Symposium on Circuits and Systems","volume":"5 1","pages":"854-859 vol.2"},"PeriodicalIF":0.0000,"publicationDate":"1991-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1991] Proceedings of the 34th Midwest Symposium on Circuits and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MWSCAS.1991.252078","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
A novel approach to build a full-adder circuit is presented using the modified binary tree. In this approach, the full adder can take only 15 transistors. In the residue-number-system-based digital signal processing architectures, look-up tables are an important computational element. Using the modified binary tree, an efficient row/column decoder is proposed for the look-up table implementation. It is observed that the look-up table based on the conventional approach occupies 26% more area and takes 1.5 ns more access time than the look-up table based on the modified binary tree.<>