Using a grid platform for solving large sparse linear systems over GF(2)

T. Kleinjung, L. Nussbaum, Emmanuel Thomé
{"title":"Using a grid platform for solving large sparse linear systems over GF(2)","authors":"T. Kleinjung, L. Nussbaum, Emmanuel Thomé","doi":"10.1109/GRID.2010.5697952","DOIUrl":null,"url":null,"abstract":"In Fall 2009, the final step of the factorization of rsa768 was carried out on several clusters of the Grid'5000 platform, leading to a new record in integer factorization. This step involves solving a huge sparse linear system defined over the binary field GF(2). This article aims at describing the algorithm used, the difficulties encountered, and the methodology which led to success. In particular, we illustrate how our use of the block Wiedemann algorithm led to a method which is suitable for use on a grid platform, with both adaptability to various clusters, and error detection and recovery procedures. While this was not obvious at first, it eventually turned out that the contribution of the Grid'5000 clusters to this computation was major.","PeriodicalId":6372,"journal":{"name":"2010 11th IEEE/ACM International Conference on Grid Computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 11th IEEE/ACM International Conference on Grid Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GRID.2010.5697952","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

Abstract

In Fall 2009, the final step of the factorization of rsa768 was carried out on several clusters of the Grid'5000 platform, leading to a new record in integer factorization. This step involves solving a huge sparse linear system defined over the binary field GF(2). This article aims at describing the algorithm used, the difficulties encountered, and the methodology which led to success. In particular, we illustrate how our use of the block Wiedemann algorithm led to a method which is suitable for use on a grid platform, with both adaptability to various clusters, and error detection and recovery procedures. While this was not obvious at first, it eventually turned out that the contribution of the Grid'5000 clusters to this computation was major.
用网格平台求解GF(2)上的大型稀疏线性系统
2009年秋季,在Grid’5000平台的多个集群上进行了rsa768因子分解的最后一步,创造了整数分解的新记录。这一步涉及求解一个定义在二元域GF(2)上的巨大的稀疏线性系统。本文旨在描述所使用的算法,遇到的困难,以及导致成功的方法。特别地,我们说明了我们对块Wiedemann算法的使用如何导致适合在网格平台上使用的方法,具有对各种集群的适应性,以及错误检测和恢复过程。虽然这一开始并不明显,但最终证明网格的5000个集群对这一计算的贡献是主要的。
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:481959085
Book学术官方微信