The parallel-hierarchical transformation of spot images on the base of Multi-GPU systems

Authors

  • Andrii Anatoliiovych Yarovyi Vinnytsia National Technical University
  • Oleksandr Oleksandrovych Kulyk Vinnytsia National Technical University
  • Nataliia Ivanivna Kokriatska State Economic and Technological University of Transport

Keywords:

parallel computing, parallel-hierarchical transformation, image processing, GPGPU, CUDA, OpenMP, Multi-GPU Programming

Abstract

The analysis of peculiarities of organization of highly productive parallel-hierarchical computing processes on the base of Multi-GPU systems and technologies is carry out in researches. The software package for realization of parallel-hierarchical transformation of spot images using computational capability of two graphics card integrated in joint system is developed. The performance increase of classification of laser beam profile in parallel-hierarchical networks on the base of Multi-GPU systems is obtained.

Author Biographies

Andrii Anatoliiovych Yarovyi, Vinnytsia National Technical University

Doctor of Science (Eng.), Professor, Professor of Computer Science Department

Oleksandr Oleksandrovych Kulyk, Vinnytsia National Technical University

Graduate Student of Computer Science Department

Nataliia Ivanivna Kokriatska, State Economic and Technological University of Transport

Candidate of Science (Eng.), Associate Professor, Associate Professor of Telecommunicational Technologise and Automatics

Downloads

Abstract views: 288

Published

2016-02-15

How to Cite

[1]
A. A. Yarovyi, O. O. Kulyk, and N. I. Kokriatska, “The parallel-hierarchical transformation of spot images on the base of Multi-GPU systems”, ІТКІ, vol. 34, no. 3, pp. 72–80, Feb. 2016.

Metrics

Downloads

Download data is not yet available.

Most read articles by the same author(s)