R. Marimuthu, K. Thanushkodi, K. Dayalan, P. Dharani
{"title":"一种利用吠陀数学求解有限域算法的新型省时节能立方电路","authors":"R. Marimuthu, K. Thanushkodi, K. Dayalan, P. Dharani","doi":"10.1109/ARTCOM.2009.227","DOIUrl":null,"url":null,"abstract":"Cubing plays a vital role in secure communication systems, Signal Processing Applications, Finite Field Arithmetic etc. As the radix of the number used for cubing increases the process gets complicated which in turn increases the delay and power consumption. Vedic mathematics is an ancient mathematics concept that provides a fast and a reliable approach to perform arithmetic operations using sixteen Sutras or word- formulae. In this paper the Anurupya Vedic sutra is used for cubing operations with two different multiplier architectures - One array structured and one tree structure. The performance of these multipliers for cubing applications is compared on the basis of their delay, power consumption and area utilization and it is proved that Anurupya Sutra improves the performance tremendously","PeriodicalId":210885,"journal":{"name":"Advances in Recent Technologies in Communication and Computing","volume":"144 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"38","resultStr":"{\"title\":\"A Novel Time and Energy Efficient Cubing Circuit Using Vedic Mathematics for Finite Field Arithmetic\",\"authors\":\"R. Marimuthu, K. Thanushkodi, K. Dayalan, P. Dharani\",\"doi\":\"10.1109/ARTCOM.2009.227\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cubing plays a vital role in secure communication systems, Signal Processing Applications, Finite Field Arithmetic etc. As the radix of the number used for cubing increases the process gets complicated which in turn increases the delay and power consumption. Vedic mathematics is an ancient mathematics concept that provides a fast and a reliable approach to perform arithmetic operations using sixteen Sutras or word- formulae. In this paper the Anurupya Vedic sutra is used for cubing operations with two different multiplier architectures - One array structured and one tree structure. The performance of these multipliers for cubing applications is compared on the basis of their delay, power consumption and area utilization and it is proved that Anurupya Sutra improves the performance tremendously\",\"PeriodicalId\":210885,\"journal\":{\"name\":\"Advances in Recent Technologies in Communication and Computing\",\"volume\":\"144 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"38\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Recent Technologies in Communication and Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ARTCOM.2009.227\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Recent Technologies in Communication and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARTCOM.2009.227","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Novel Time and Energy Efficient Cubing Circuit Using Vedic Mathematics for Finite Field Arithmetic
Cubing plays a vital role in secure communication systems, Signal Processing Applications, Finite Field Arithmetic etc. As the radix of the number used for cubing increases the process gets complicated which in turn increases the delay and power consumption. Vedic mathematics is an ancient mathematics concept that provides a fast and a reliable approach to perform arithmetic operations using sixteen Sutras or word- formulae. In this paper the Anurupya Vedic sutra is used for cubing operations with two different multiplier architectures - One array structured and one tree structure. The performance of these multipliers for cubing applications is compared on the basis of their delay, power consumption and area utilization and it is proved that Anurupya Sutra improves the performance tremendously