Accelerating Real Time Applications on Heterogeneous Platforms
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2014, Vol 4, Issue 4
Abstract
In this paper we describe about the novel implementations of depth estimation from a stereo images using feature extraction algorithms that run on the graphics processing unit (GPU) which is suitable for real time applications like analyzing video in real-time vision systems. Modern graphics cards contain large number of parallel processors and high-bandwidth memory for accelerating the processing of data computation operations. In this paper we give general idea of how to accelerate the real time application using heterogeneous platforms. We have proposed to use some added resources to grasp more computationally involved optimization methods. This proposed approach will indirectly accelerate a database by producing better plan quality.
Authors and Affiliations
Vivek Vanpariya1 , Prof. S. Ramani2
Keywords
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