Recent Advances in the design and implementation of Large Integer Factorization Algorithms

M. Wunderlich
{"title":"Recent Advances in the design and implementation of Large Integer Factorization Algorithms","authors":"M. Wunderlich","doi":"10.1109/SP.1983.10014","DOIUrl":null,"url":null,"abstract":"The latest and possibly fastest of the general factoring methods for large composite numbers is the quadratic sieve of Carl Pomerance. A variation of the algorithm is described and an implementation is suggested which combines the forces of a fast pipeline computer such as the Cray I, and a high speed highly parallel array processor such as the Goodyear MPP. A running time analysis, which is based on empirical data rather than asymptotic estimates, suggests that this method could be capable of factoring a 60 digit number in as little as 10 minutes and a 100 digit number is as little as 60 days of continuous computer time.","PeriodicalId":236986,"journal":{"name":"1983 IEEE Symposium on Security and Privacy","volume":"92 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1983-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1983 IEEE Symposium on Security and Privacy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SP.1983.10014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

The latest and possibly fastest of the general factoring methods for large composite numbers is the quadratic sieve of Carl Pomerance. A variation of the algorithm is described and an implementation is suggested which combines the forces of a fast pipeline computer such as the Cray I, and a high speed highly parallel array processor such as the Goodyear MPP. A running time analysis, which is based on empirical data rather than asymptotic estimates, suggests that this method could be capable of factoring a 60 digit number in as little as 10 minutes and a 100 digit number is as little as 60 days of continuous computer time.
大整数分解算法设计与实现的最新进展
对于大合数的一般分解方法,最新的、可能也是最快的是卡尔·波默兰斯的二次筛法。本文描述了该算法的一种变体,并提出了一种结合快速流水线计算机(如Cray I)和高速高度并行阵列处理器(如Goodyear MPP)的实现方法。一项基于经验数据而非渐近估计的运行时间分析表明,这种方法可以在短短10分钟内分解一个60位数的数字,而一个100位数的数字只需60天的连续计算机时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信