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The paper is devoted to the parallel computing. The algorithm for roundwood volume estimation had insufficient performance so it was decided to port its bottleneck part on the GPU. The analysis of various GPGPU techniques was observed and the NVIDIA CUDA technology was chosen for implementation. The results of the research have shown the high potential of the GPU implementation in the improvement performance of the computation. The speedup of the algorithm for the roundwood volume estimation is more than 300% after porting on GPU with implementation of the CUDA technology. This helps to apply the machine vision algorithm in real-time system

Applying of the NVIDIA CUDA to the video processing in the task of the roundwood volume estimation