The impact of GPU/Multicore in Signal Processing: a quantitative approach

V.M Garcia, A.Gonzalez, C. Gonzalez, F.J. Martinez-Zaldivar, C.Ramiro, S. Roger, A.M. Vidal
Department of Information Systems and Computation, Universitat Politecnica de Valencia – Camino de Vera s/n – 46022 Valencia (Spain)
Waves, vol.3, pp.96-106, 2011


   title={The impact of GPU/multicore in signal processing: a quantitative approach},

   author={Garcia, VM and Gonzalez, A. and Gonzalez, C. and Martinez-Zaldivar, FJ and Ramiro, C. and Roger, S. and Vidal, AM},




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This paper presents a meaningful practical performance comparison between the last generation of Graphics Processing Units (GPUs) and the last generation multi-core CPUs when they are used to solve given Signal Processing algorithms. Two kinds of tests were considered: when GPU pre-designed computational libraries were available, and when the GPU code was developed by the authors. Results show that GPUs offer great possibilities, but its programming is still hard and high performances can be obtained only if the algorithm can be adapted to the GPU programming model.
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