Flexible allocation method in polytope model for designing of efficient methods of recursive two-dimensional image processing using GPU

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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

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