Abstract
The paper presents comparative results in times of calculation of biorthogonal wavelet transform of lengths \(2K+1\)/\(2K-1\) implemented with aid of two variants of lattice structures on parallel graphics processors (GPU) and on CPU. The aim of the research is to indicate lattice structure which allows to obtain higher efficiency of computations in case of both GPU and CPU architectures.
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Puchala, D., Szczepaniak, B., Yatsymirskyy, M. (2015). Effective Realizations of Biorthogonal Wavelet Transforms of Lengths \(2K + 1\)/\(2K - 1\) with Lattice Structures on GPU and CPU. In: Jackowski, K., Burduk, R., Walkowiak, K., Wozniak, M., Yin, H. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2015. IDEAL 2015. Lecture Notes in Computer Science(), vol 9375. Springer, Cham. https://doi.org/10.1007/978-3-319-24834-9_16
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DOI: https://doi.org/10.1007/978-3-319-24834-9_16
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