Journal of Theoretical and Applied Information Technology
In this paper, the authors present a method of parallel-hierarchical transformations for rapid recognition of dynamic images using GPU technology. Direct parallel-hierarchical transformations based on cluster CPU-and GPU-oriented hardware platform. Mathematic models of training of the Parallel Hierarchical (PH) network for the transformation are developed, as well as a training method of the PH network for recognition of dynamic images. This paper is most topical for problems on organizing high-performance computations of super large arrays of information designed to implement multi-stage sensing and processing as well as compaction and recognition of data in the informational structures and computer devices.