期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2013
卷号：1
期号：4
出版社：S&S Publications
摘要：In this paper, we have proposed sequential and parallel matrix and matrix-vector multiplication in computeunified device architecture (CUDA) libraries. We show the process of a class of algorithms parallelization which are usedin digital signal processing. We present this approach on the instance of the Linear Convolution, Circular Convolution, andLeast Mean Square (LMS) algorithm. We propose an approach which uses a general purpose graphics processor unit(GPGPU) technology. The accelerated version on GPU computed faster because it took less time compare to the MATLABand sequential implementation
关键词：Linear Convolution; Circular Convolution; Least Mean Square (LMS); Computed unified device architecture;(CUDA).
