Application of parallel-hierarchical transformations for rapid recognition of dynamic images based on GPU technology
Leonid Timchenko, Nataliya Kokriatskaia, Andriy Yarovyy, Igor Ivasyuk, Alyona Denysova
Available Online July 2013.
- https://doi.org/10.2991/cse.2013.51How to use a DOI?
- parallel-hierarchical (PH) network, laser beam spot images, parallel-hierarchical (PH) transformation, fast recognition of dynamic images, GPU technology.
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Leonid Timchenko AU - Nataliya Kokriatskaia AU - Andriy Yarovyy AU - Igor Ivasyuk AU - Alyona Denysova PY - 2013/07 DA - 2013/07 TI - Application of parallel-hierarchical transformations for rapid recognition of dynamic images based on GPU technology BT - 2nd International Conference on Advances in Computer Science and Engineering (CSE 2013) PB - Atlantis Press SP - 226 EP - 230 SN - 1951-6851 UR - https://doi.org/10.2991/cse.2013.51 DO - https://doi.org/10.2991/cse.2013.51 ID - Timchenko2013/07 ER -