Highly efficient classes of algorithms and high-performance systems implementing the synchronous interaction networks with data-processing systolic matrices

Authors

  • V. V. Hrytsyk
  • V. V. Hrytsyk
  • A. M. Zozulya

DOI:

https://doi.org/10.15407/dopovidi2015.12.019

Keywords:

real time of data processing, systolic matrix of data processing

Abstract

High-performance computing systems implementing the synchronous interaction networks with data-processing systolic matrix are defined. Some possibilities for the data processing in real time with VLSIC's oriented to solving the computer vision problems in various fields are proposed.

Downloads

References

Neiman J. Theory of Self-Reproducing Automates, Moscow: World, 1971 (in Russian).

Evtenchov Je. V. The systems, structures and environment, Moscow: World, 1985 (in Russian).

Parallel processing information, V. 3. Computer systems, structures and environment for solving large-scale problems, Ed. Hrytsyk V. V., Kyiv: Nauk. Dumka, 1985 (in Russian).

Hrytsyk V. V. Models and tools for adaptive processing video streams in computer vision systems, Abstract. dis. . . Dr.Sc. Science, Kharkiv, 2013 (in Ukrainian).

Malinowski B. M., Bonyun V. P., Kozlov L. Parallel structures and methods, Kyiv, Nauk. Dumka, 1989 (in Russian).

Frumkin M. A. Systolic calculation, Moscow: Nauka, 1990 (in Russian).

Aksenov V. P., Krasinski P. Y., Spiritov T. V. International electronics, 1987, No 7: 7–33 (in Russian).

Hrytsyk V. V. Models and tools for adaptive processing videostreams in computer vision systems, Lviv NAS of Sci. SSRIII, 2011 (in Ukrainian).

Published

10.02.2025

How to Cite

Hrytsyk, V. V., Hrytsyk, V. V., & Zozulya, A. M. (2025). Highly efficient classes of algorithms and high-performance systems implementing the synchronous interaction networks with data-processing systolic matrices . Reports of the National Academy of Sciences of Ukraine, (12), 19–24. https://doi.org/10.15407/dopovidi2015.12.019

Issue

Section

Information Science and Cybernetics