Memory access optimization in recurrent image processing algorithms with CUDA
Sergey Alekseyevich Bibikov, Vladimir Alekseyevich Fursov, Artem V. Nikonorov, P. Yu. Yakimov · Pattern Recognition and Image Analysis · 2011
The present paper deals with the algorithms of image processing using CUDA technology. Memory optimizations are the most important area for performance of a CUDA application. This is especially urgent for the recurrent algorithms of data processing. The paper proposes a new approach for recurrent data processing on the GPU. The effectiveness of this approach is shown for the moving average algorithm. The proposed algorithms were used to develop image processing software system. Some results obtained for this system are given in the paper.