Flexible allocation method in polytope model for designing of efficient methods of recursive two-dimensional image processing using GPU
Автор: Nikonorov Artem Vladimirovich, Fursov Vladimir Alekseyevich, Yakimov Pavel Yurievich
Журнал: Компьютерная оптика @computer-optics
Рубрика: Обработка изображений: Восстановление изображений, выявление признаков, распознавание образов
Статья в выпуске: 3 т.36, 2012 года.
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This paper considers a GPU implementation of a two-dimensional infinite impulse-response filter. We propose the decomposition of an IIR filter into the form which is applicable in the polytope model. The presented flexible allocation approach makes it possible to efficiently implement the polytope model in a single GPU kernel. Some theoretical performance estimations of the proposed flexible allocation algorithm are given in the paper.
Image processing, polytope model, cuda, 2-d iir filters, gpu, fixed allocation, flexible allocation
Короткий адрес: https://sciup.org/14059109
IDR: 14059109