Single Instruction Multiple Data (SIMD) approach for Efficient Fractal Image Encoding using Distributed Architecture

Vol. 1  Issue 4
Year: 2015
Issue:Dec-Feb
Title:Single Instruction Multiple Data (SIMD) approach for Efficient Fractal Image Encoding using Distributed Architecture
Author Name:Akhilesh Kumar, G. R. Sinha and Vikas Dilliwar
Synopsis:
There are several application areas where tremendous computational resources are required including image processing, big data and genetic mapping which are computationally intensive areas. Huge computing resources are required to solve such complex problems and powerful computing environment is needed. An emphasis is made on fractal image compression, which requires higher computing needs to solve. Single Instruction Multiple Data approach is followed using distributed architecture. The research compares the performance on the basis of speed up and encoding time. It was found that image compression requires more computing power to solve in lesser time. In this paper, the parallel algorithms are developed using Distributed Fractal Image Encoding Architecture (DFIE) as Single Instruction Multiple Data (SIMD) approach