{"title":"A family of modular area- and energy-efficient QRD-accelerator architectures","authors":"U. Vishnoi, T. Noll","doi":"10.1109/ISSoC.2013.6675277","DOIUrl":null,"url":null,"abstract":"QR-decomposition accelerators are attractive SoC components for many applications with a wide range of specifications. A new family of highly area- and energy-efficient, modular two-way linear-array QRD architectures based on the Givens algorithm and CORDIC rotations is proposed. The template architecture allows for implementations of real-/complex-valued and integer/floating-point QRDs. An accurate algebraic cost model enables cross-level optimization over architecture, micro-architecture and circuit level using a rich set of parameters. Quantitative results for exemplary applications are presented for implementations in 40-nm CMOS, proving the significant improvement of efficiency.","PeriodicalId":228272,"journal":{"name":"2013 International Symposium on System on Chip (SoC)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Symposium on System on Chip (SoC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSoC.2013.6675277","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
QR-decomposition accelerators are attractive SoC components for many applications with a wide range of specifications. A new family of highly area- and energy-efficient, modular two-way linear-array QRD architectures based on the Givens algorithm and CORDIC rotations is proposed. The template architecture allows for implementations of real-/complex-valued and integer/floating-point QRDs. An accurate algebraic cost model enables cross-level optimization over architecture, micro-architecture and circuit level using a rich set of parameters. Quantitative results for exemplary applications are presented for implementations in 40-nm CMOS, proving the significant improvement of efficiency.
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