Monitoring the stage of diagonalization in Jacobi-type methods

J. Gotze
{"title":"Monitoring the stage of diagonalization in Jacobi-type methods","authors":"J. Gotze","doi":"10.1109/ICASSP.1994.389995","DOIUrl":null,"url":null,"abstract":"Since the stage of diagonalization of Jacobi-type methods is difficult to monitor in a parallel environment, it is usually proposed to execute a predetermined number of sweeps (iterations) on a parallel processor array. A possibility for monitoring the stage of diagonalization is essential in order to avoid the execution of a significant number of unnecessary sweeps. Based on a Lemma used for a generalized proof of the quadratic convergence of the Jacobi EVD and SVD methods a new criteria for monitoring the stage of diagonalization is derived. Using this criteria it can easily be monitored when the stage of quadratic convergence is reached (only one bit yields this information). Therefore, only the (small) number of quadratically convergent sweeps must be predetermined. A further similar criteria particularly useful for Jacobi-type methods using CORDIC-based approximate rotations is also given.<<ETX>>","PeriodicalId":290798,"journal":{"name":"Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing","volume":"183 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP.1994.389995","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

Abstract

Since the stage of diagonalization of Jacobi-type methods is difficult to monitor in a parallel environment, it is usually proposed to execute a predetermined number of sweeps (iterations) on a parallel processor array. A possibility for monitoring the stage of diagonalization is essential in order to avoid the execution of a significant number of unnecessary sweeps. Based on a Lemma used for a generalized proof of the quadratic convergence of the Jacobi EVD and SVD methods a new criteria for monitoring the stage of diagonalization is derived. Using this criteria it can easily be monitored when the stage of quadratic convergence is reached (only one bit yields this information). Therefore, only the (small) number of quadratically convergent sweeps must be predetermined. A further similar criteria particularly useful for Jacobi-type methods using CORDIC-based approximate rotations is also given.<>
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
雅可比型方法对角化阶段的监测
由于jacobi型方法的对角化阶段在并行环境中难以监控,因此通常建议在并行处理器阵列上执行预定数量的扫描(迭代)。为了避免执行大量不必要的扫井,监测对角化阶段的可能性是必不可少的。基于Jacobi EVD和SVD方法二次收敛性的一个广义证明引理,导出了监测对角化阶段的新准则。使用这个准则可以很容易地监测到何时达到二次收敛阶段(只有一个比特产生这个信息)。因此,只有(少量)次收敛扫描必须预先确定。还给出了一个类似的准则,特别适用于使用基于cordic的近似旋转的jacobi型方法。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A new cumulant based parameter estimation method for noncausal autoregressive systems Using Gaussian mixture modeling in speech recognition An evaluation of cross-language adaptation for rapid HMM development in a new language Unsupervised segmentation of radar images using wavelet decomposition and cumulants Improving speech recognition performance via phone-dependent VQ codebooks and adaptive language models in SPHINX-II
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1