HEAL DSpace

A flexible architecture for DSP applications combining high performance arithmetic with small scale configurability

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dc.contributor.author Xydis, S en
dc.contributor.author Sideris, I en
dc.contributor.author Economakos, G en
dc.contributor.author Pekmestzi, K en
dc.date.accessioned 2014-03-01T02:45:01Z
dc.date.available 2014-03-01T02:45:01Z
dc.date.issued 2008 en
dc.identifier.issn 22195491 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/32103
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-84863746061&partnerID=40&md5=9b9604e27ea96b3a53f4a65a837d6112 en
dc.relation.uri http://www.eurasip.org/Proceedings/Eusipco/Eusipco2008/papers/1569104842.pdf en
dc.subject High Performance en
dc.subject.other Carry-save en
dc.subject.other Configurability en
dc.subject.other Data reusability en
dc.subject.other Data-paths en
dc.subject.other DSP algorithm en
dc.subject.other DSP application en
dc.subject.other Fast computation en
dc.subject.other Flexible architectures en
dc.subject.other Flexible units en
dc.subject.other Mapping methodology en
dc.subject.other Proposed architectures en
dc.subject.other Small scale en
dc.subject.other Reusability en
dc.subject.other Signal processing en
dc.title A flexible architecture for DSP applications combining high performance arithmetic with small scale configurability en
heal.type conferenceItem en
heal.publicationDate 2008 en
heal.abstract This paper presents the architecture of a flexible and high performance unit for DSP applications. The proposed architecture operates based on fast Carry-Save (CS) arithmetic. A mapping methodology, for datapaths composed with the proposed flexible units, is also presented. It exploits the incorporated features of the proposed units and enables fast computations, high operation densities and advanced data reusability. Experimental results shown that several DSP algorithms can be mapped onto the proposed architecture with high efficiency delivering in average, latency gains of 36.56% and 45.76% compared to the MAC and the primitive resources based datapaths, respectively. copyright by EURASIP. en
heal.journalName European Signal Processing Conference en


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