{"title":"Design of a low-power RNS-enhanced arithmetic unit","authors":"Piotr Patronik, S. Piestrak","doi":"10.1109/LASCAS.2016.7451032","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a new approach to use Residue Number System (RNS) to design an arithmetic coprocessing unit, which allows to parallelize execution of addition and multiplication. The chosen RNS is a 5-moduli set composed of a larger even modulus 213 and four moduli of the type 2n - 1, which all fit into the 32-bit word of the processor. The RNS operations are implemented in hardware, except for the reverse conversion which is implemented in software. Simulation experiments performed on synthesized five-operation arithmetic unit show that at a small hardware and software cost can be achieved 10% energy saving for a constant-coefficient filter application and up to 25% for the matrix multiplication, compared to executions using a positional arithmetic unit.","PeriodicalId":129875,"journal":{"name":"2016 IEEE 7th Latin American Symposium on Circuits & Systems (LASCAS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 7th Latin American Symposium on Circuits & Systems (LASCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LASCAS.2016.7451032","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
In this paper, we propose a new approach to use Residue Number System (RNS) to design an arithmetic coprocessing unit, which allows to parallelize execution of addition and multiplication. The chosen RNS is a 5-moduli set composed of a larger even modulus 213 and four moduli of the type 2n - 1, which all fit into the 32-bit word of the processor. The RNS operations are implemented in hardware, except for the reverse conversion which is implemented in software. Simulation experiments performed on synthesized five-operation arithmetic unit show that at a small hardware and software cost can be achieved 10% energy saving for a constant-coefficient filter application and up to 25% for the matrix multiplication, compared to executions using a positional arithmetic unit.