Application of Parallel-hierarchical Transformations for Rapid Recognition of Dynamic Images Based on GPU Technology
Автор
Yaroviy, А. А.
Tymchenko, L. I.
Kokriatskaia, N. I.
Ivasyuk, I.
Denysova, A.
Яровий, А. А.
Тимченко, Л. І.
Кокряцька, Н. І.
Івасюк І.
Денисова, А.
Дата
2013Metadata
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- Наукові роботи каф. КН [806]
Аннотации
The paper presents 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 research 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.
This method has such advantages as high performance through
the use of recent advances in parallelization, possibility to
work with images of ultra dimension, ease of scaling in case of
changing the number of nodes in the cluster, auto scan of local
network to detect compute nodes.
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http://ir.lib.vntu.edu.ua//handle/123456789/18048