Cross-layer optimization of QRD accelerators

U. Vishnoi, T. Noll
{"title":"Cross-layer optimization of QRD accelerators","authors":"U. Vishnoi, T. Noll","doi":"10.1109/ESSCIRC.2013.6649123","DOIUrl":null,"url":null,"abstract":"QR decomposition accelerators are attractive SoC components for many applications. A new linear QRD array is proposed based on the Givens-algorithm and CORDIC (Coordinate Rotate Digital Computer) rotations. In order to achieve high area- and energy-efficiency a systematic design space exploration has to be applied. Thereby the strong interactions between the architecture, micro-architecture and circuit level have to be considered. Based on architecture templates and pre-characterization of basic building blocks an algebraic cost-model is presented allowing for a cross-layer design space exploration with adequate accuracy in reasonable time. As a result from this quantitative optimization approach, a 16×16-QRD macro performing 30 million QRDs per second on 0.3 mm2 area and 160 pJ per QRD is derived.","PeriodicalId":183620,"journal":{"name":"2013 Proceedings of the ESSCIRC (ESSCIRC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Proceedings of the ESSCIRC (ESSCIRC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ESSCIRC.2013.6649123","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

QR decomposition accelerators are attractive SoC components for many applications. A new linear QRD array is proposed based on the Givens-algorithm and CORDIC (Coordinate Rotate Digital Computer) rotations. In order to achieve high area- and energy-efficiency a systematic design space exploration has to be applied. Thereby the strong interactions between the architecture, micro-architecture and circuit level have to be considered. Based on architecture templates and pre-characterization of basic building blocks an algebraic cost-model is presented allowing for a cross-layer design space exploration with adequate accuracy in reasonable time. As a result from this quantitative optimization approach, a 16×16-QRD macro performing 30 million QRDs per second on 0.3 mm2 area and 160 pJ per QRD is derived.
QRD加速器的跨层优化
QR分解加速器是许多应用中有吸引力的SoC组件。提出了一种基于给定算法和坐标旋转数字计算机(CORDIC)旋转的新型线性QRD阵列。为了达到高的面积和能源效率,必须进行系统的设计空间探索。因此,必须考虑结构、微结构和电路级之间的强相互作用。基于架构模板和基本构建块的预表征,提出了一个代数成本模型,允许在合理的时间内以足够的精度进行跨层设计空间探索。通过这种定量优化方法,可以得到一个16×16-QRD宏,在0.3 mm2的面积上每秒执行3000万个QRD,每QRD执行160 pJ。
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