Resumen

SANCHEZ-TORRES, Germán  y  GONZALEZ-CALDERON, Guillermo. A GPU-based Evolution Strategy for Optic Disk Detection in Retinal Images. Rev. ing. univ. Medellín [online]. 2016, vol.15, n.29, pp.173-190. ISSN 1692-3324.  https://doi.org/10.22395/rium.v15n29a11.

Parallel processing using graphic processing units (gpus) has attracted much research interest in recent years. Parallel computation can be ap plied to evolution strategy (es) for processing individuals in a population, but evolutionary strategies are time-consuming when used to solve large computational problems or complex fitness functions. In this paper, we describe the implementation of an improved es for optic disk detection in retinal images using the Compute Unified Device Architecture (cuda) environment. In the experimental results, we show that the computational time for optic disk detection task has a speedup factor of 5x and 7x com pared to the implementation on a mainstream cpu.

Palabras clave : Compute Unified Device Architecture; optic disk; evolution ary strategy; retinal images.

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