Use case analysis of OpenACC directives in the implementation of image processing algorithms

Graphics processing units have been intensively used in general-purpose computations in the recent years. Although new programming models (CUDA, OpenCL) have been developed and widely applied to support GPU programming, they still impose demanding environments for those users who want to speed up their applications without the knowledge of low level details of the underlying hardware. To cope with this problem, the paper analyzes and evaluates the usage of OpenACC directive-based programming model in the case of image processing algorithms that are amenable for GPU execution.