GPGPU implementation of fractal image coding

Author

Alvarado-Nava, Oscar ; Chable Martinez, Hilda Maria ; Rodriguez-Martinez, Eduardo

Author_Institution

Dept. de Electron., Divisi on de Cienc. Basicas e Ing., Univ. Autonoma Metropolitana, Mexico City, Mexico

fYear

2014

fDate

16-18 July 2014

Firstpage

106

Lastpage

110

Abstract

The programming model of general propose computing on graphic processing units (GPGPU) offers great efficiency for applications acceleration. This feature is granted by the ability of partitioning a sequential application into smaller subproblems with high computing requirements; those subproblems can be executed in parallel by a graphics processing unit (GPU) and partial results can be transferred to main memory where the central processing unit (CPU) collects and presents them. On the other hand, Fractal Image Coding (FIC) is a lossy compression technique with promising features, however it has been relegated due to its large coding time. The present article propose a parallel implementation of FIC on a GPGPU system which achieves an acceleration on coding time of about 129 times.

Keywords

fractals; graphics processing units; image coding; CPU; FIC; GPGPU implementation; applications acceleration; central processing unit; fractal image coding; graphic processing units; high computing requirements; lossy compression technique; parallel implementation; partitioning; programming model; sequential application; Acceleration; Central Processing Unit; Fractals; Graphics processing units; Image coding; Image resolution; Instruction sets; Fractal Image Compression; GPGPU; GPU; Parallel Computing;

fLanguage

English

Publisher

ieee

Conference_Titel

Bio-inspired Intelligence (IWOBI), 2014 International Work Conference on

Conference_Location

Liberia

Type

conf

DOI

10.1109/IWOBI.2014.6913947

Filename

6913947