{"title":"Area Optimization of Arithmetic Units by Component Sharing for FPGAs (Abstract Only)","authors":"S. Tang, G. Lemieux","doi":"10.1145/2684746.2689146","DOIUrl":null,"url":null,"abstract":"Floating point implementation has been a hot topic in recent FPGA research. This paper describes a method to optimize area of combined floating point and integer arithmetic unit through sharing the largest component in each operation on an FPGA. Specifically, the operations included are: addition, subtraction, multiplication, division, shift left/right, rotate left/right, as well as integer-to-floating-point and floating-point-to-integer conversion. The resource usage for the fused unit is compared with the segregated units that are multiplexed. Result shows a significant area reduction achieved using this technique with minimal performance penalty.","PeriodicalId":388546,"journal":{"name":"Proceedings of the 2015 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2015 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2684746.2689146","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
Floating point implementation has been a hot topic in recent FPGA research. This paper describes a method to optimize area of combined floating point and integer arithmetic unit through sharing the largest component in each operation on an FPGA. Specifically, the operations included are: addition, subtraction, multiplication, division, shift left/right, rotate left/right, as well as integer-to-floating-point and floating-point-to-integer conversion. The resource usage for the fused unit is compared with the segregated units that are multiplexed. Result shows a significant area reduction achieved using this technique with minimal performance penalty.