{"title":"基于素模管道乘法器的RNS缩放","authors":"A. García, A. Lloris","doi":"10.1109/SIPS.1998.715808","DOIUrl":null,"url":null,"abstract":"Recently, the residue number system (RNS) has concentrated a great deal of interest on fast parallel processing of integer data for signal processing applications. This paper introduces some improvements to the existing index calculus RNS multipliers; moreover, we propose a new scaling scheme based on arithmetic modules instead of look-up tables for sets of prime moduli.","PeriodicalId":151031,"journal":{"name":"1998 IEEE Workshop on Signal Processing Systems. SIPS 98. Design and Implementation (Cat. No.98TH8374)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"RNS scaling based on pipelined multipliers for prime moduli\",\"authors\":\"A. García, A. Lloris\",\"doi\":\"10.1109/SIPS.1998.715808\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recently, the residue number system (RNS) has concentrated a great deal of interest on fast parallel processing of integer data for signal processing applications. This paper introduces some improvements to the existing index calculus RNS multipliers; moreover, we propose a new scaling scheme based on arithmetic modules instead of look-up tables for sets of prime moduli.\",\"PeriodicalId\":151031,\"journal\":{\"name\":\"1998 IEEE Workshop on Signal Processing Systems. SIPS 98. Design and Implementation (Cat. No.98TH8374)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-10-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1998 IEEE Workshop on Signal Processing Systems. SIPS 98. Design and Implementation (Cat. No.98TH8374)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIPS.1998.715808\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1998 IEEE Workshop on Signal Processing Systems. SIPS 98. Design and Implementation (Cat. No.98TH8374)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIPS.1998.715808","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
RNS scaling based on pipelined multipliers for prime moduli
Recently, the residue number system (RNS) has concentrated a great deal of interest on fast parallel processing of integer data for signal processing applications. This paper introduces some improvements to the existing index calculus RNS multipliers; moreover, we propose a new scaling scheme based on arithmetic modules instead of look-up tables for sets of prime moduli.