Optimized Math Functions For A Fixed-point Dsp Architecture

dc.creatorLenzi K.G.
dc.creatorSaotome O.
dc.date2007
dc.date2015-06-30T18:51:47Z
dc.date2015-11-26T14:38:56Z
dc.date2015-06-30T18:51:47Z
dc.date2015-11-26T14:38:56Z
dc.date.accessioned2018-03-28T21:44:18Z
dc.date.available2018-03-28T21:44:18Z
dc.identifier9780769530147
dc.identifierProceedings - Symposium On Computer Architecture And High Performance Computing. , v. , n. , p. 125 - 132, 2007.
dc.identifier15506533
dc.identifier10.1109/SBAC-PAD.2007.33
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-47249120791&partnerID=40&md5=9803e1da9d2834e519d037ca216411a1
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/105129
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/105129
dc.identifier2-s2.0-47249120791
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1249792
dc.descriptionThis paper presents a method for implementing several high-performance math functions through polynomial approximation on the fixed-point Blackfin ADSP-BF533 architecture. We present a strategy to overcome the performance given by the Blackfin's C library using a fast emulated floating-point format. We also discuss the methods applied to generate the polynomial approximation for the sine, logarithmic, and exponential functions, as well as the optimization schemes used to implement these functions. This work contributed to a maximum cycle reduction of 85% over the standard math library. © 2007 IEEE.
dc.description
dc.description
dc.description125
dc.description132
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dc.languageen
dc.publisher
dc.relationProceedings - Symposium on Computer Architecture and High Performance Computing
dc.rightsfechado
dc.sourceScopus
dc.titleOptimized Math Functions For A Fixed-point Dsp Architecture
dc.typeActas de congresos


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