Prototyping methodology with motion estimation algorithm

Abstract

With CPU, GPU and other hardware accelerators, heterogeneous systems can increase the computing performance in many domains of general purpose computing. Open Computing Language (Open CL) is the first open and free standard for heterogeneous computing on multi hardware platforms. In this paper, a parallelized Full Search Motion Estimation (FSME) approach exploits the parallelism available in Open CL supported devices and algorithm. Different from existing GPU-based ME approach, the proposed approach is implemented on the heterogeneous computing system which contains CPU and GPU. In the meantime, we propose the prototyping framework directly generates the executable code for target hardware from the high level description of applications, and balances the workload distribution in the heterogeneous system. It greatly reduces the development period of parallel programming and easily access the parallel computing without concentrating on the complex kernel code.