M. Tarek, Ibnu Ziad, Y. Alkabani, M. Watheq El-Kharashi
{"title":"On hardware solution of dense linear systems via Gauss-Jordan Elimination","authors":"M. Tarek, Ibnu Ziad, Y. Alkabani, M. Watheq El-Kharashi","doi":"10.1109/PACRIM.2015.7334863","DOIUrl":null,"url":null,"abstract":"Gauss-Jordan Elimination (GJE) is a popular method for solving systems of linear equations. Much work has been done to design high throughput, low cost, FPGA-based architectures for GJE. However, as the interest in energy efficient designs increases, power consumption becomes a prevalent metric that must be considered in any FPGA-based implementation. In this paper, we present a scalable architecture that can efficiently solve any generic system of linear equations using GJE with a single-precision floating-point accuracy and reasonable power and area overheads. Comparisons with two previous implementations show the efficiency of our design.","PeriodicalId":350052,"journal":{"name":"2015 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACRIM.2015.7334863","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Gauss-Jordan Elimination (GJE) is a popular method for solving systems of linear equations. Much work has been done to design high throughput, low cost, FPGA-based architectures for GJE. However, as the interest in energy efficient designs increases, power consumption becomes a prevalent metric that must be considered in any FPGA-based implementation. In this paper, we present a scalable architecture that can efficiently solve any generic system of linear equations using GJE with a single-precision floating-point accuracy and reasonable power and area overheads. Comparisons with two previous implementations show the efficiency of our design.