Chenxin Zhang, T. Lenart, Henrik Svensson, V. Öwall
{"title":"Design of Coarse-Grained Dynamically Reconfigurable Architecture for DSP Applications","authors":"Chenxin Zhang, T. Lenart, Henrik Svensson, V. Öwall","doi":"10.1109/ReConFig.2009.49","DOIUrl":null,"url":null,"abstract":"This paper presents the design and implementation of a coarse-grained reconfigurable architecture, targeting digital signal processing applications. The proposed architecture is constructed from a mesh of resource cells, containing separated processing and memory elements that communicate via a hybrid interconnect network. Parameterizable design of resource cells enables flexible mapping of arbitrary applications at system compile-time, and the feature of dynamic reconfigurability provides mapping possibilities during system run-time to adapt to the current operational and processing conditions. Functionality and flexibility of the proposed architecture is demonstrated through mapping of a radix-22 FFT processor reconfigurable between 32 and 1024 points. Performance evaluation exhibits a great reconfigurability and execution time reduction when compared to a traditional DSP and ARM solution.","PeriodicalId":325631,"journal":{"name":"2009 International Conference on Reconfigurable Computing and FPGAs","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Reconfigurable Computing and FPGAs","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ReConFig.2009.49","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18
Abstract
This paper presents the design and implementation of a coarse-grained reconfigurable architecture, targeting digital signal processing applications. The proposed architecture is constructed from a mesh of resource cells, containing separated processing and memory elements that communicate via a hybrid interconnect network. Parameterizable design of resource cells enables flexible mapping of arbitrary applications at system compile-time, and the feature of dynamic reconfigurability provides mapping possibilities during system run-time to adapt to the current operational and processing conditions. Functionality and flexibility of the proposed architecture is demonstrated through mapping of a radix-22 FFT processor reconfigurable between 32 and 1024 points. Performance evaluation exhibits a great reconfigurability and execution time reduction when compared to a traditional DSP and ARM solution.