Adapting data processing methods to modern GPU architecture (original) (raw)

2013

Abstract

Wavelet transform have a wide area of application in many scientific areas, for example signal processing, image compression [6] or data mining [4] [5]. Present requirements demand preforming large amount of calculations in the minimum time. For that reason the goal of this paper is to present an approach that will fulfill mentioned requirements, by adapting algorithms for signal processing to GPU demand. The article analyzes potential benefits of usage of the implementation of lattice structure on Graphics Processing Unit (GPU) and compares obtained results with the implementation on Central Processing Unit (CPU).

Eudice vilela hasn't uploaded this paper.

Let Eudice know you want this paper to be uploaded.

Ask for this paper to be uploaded.