E.A. Titenko - Ph.D. (Eng.), Associate Professor, Department of Information Systems and Technologies, Southwest State University (Kursk) E-mail: johntit@mail.ru N.A. Milostnya - Ph.D. (Eng.), Associate Professor, Department of Computing Devices, Southwest State University (Kursk) E-mail: nat_mil@mail.ru D.V. Lapin - Post-graduate Student, Department of Information Systems and Technologies, Southwest State University (Kursk) M.A. Schevchenko - Post-graduate Student, Department of Information Systems and Technologies, Southwest State University (Kursk) P.V. Lotorev - Post-graduate Student, Department of Information Systems and Technologies, Southwest State University (Kursk) V.O. Avdeev - Head of Division, Southwest State University (Kursk) E-mail: E-mail: v.o.avdeev@gmail.com

Object of study are parallel processing of regular data on the of context access memory. Regular data are three-dimensional images in the computing vision system of the mobile robot. The aim is to increase responsiveness the implementation of complex image processing operations: filtration, contrast, search mask, and others. Modern computer systems are based on standard functional units (microprocessors) or specialized functional modules (VLSI, FPGA). Analysis of the structural features and functionality of the organization of microprocessors for computer vision systems identified on the speed limit. Modern specialized LSI / VLSI contain logic elements, finished functional units. Programmable LSI, VLSI used for data processing with a regular structure, especially images. The context access memory combines the functions of storing and processing information. It provides multiple access to all the information, a parallel search of the data amount. As a result, the use of the context access memory allows hardware-level executive quickly manage mobile robot devices. Research methods: system analysis, design theory of the computer

 

1. Lotorev P.V., Kurochkin A.G., Grivachev A.V. Matematicheskaja model dinamicheskojj korrekcii marshruta podvizhnogo robota // Naukoemkie tekhnologii. 2016. T. 17. № 3. S. 21-25.
2. Titenko, E.A., Emeljanov S.G., Zerin I.S. Odnorodnye vychislitelnye struktury dlja parallelnykh simvolnykh vychislenijj // Izvestija JUgo-Zapadnogo gosudarstvennogo universiteta. 2011. № 6(39). CH. 2. S. 77-82.
3. Titenko E.A. Organizacija rekonfiguriruemogo multiprocessora potoka dannykh // Vestnik kompjuternykh i informacionnykh tekhnologijj. 2012. № 2. S. 24-29.
4. Titov V.S., Konovalchik A.P., Titenko E.A. Vysokoproizvoditelnye vychislitelnye sistemy na osnove PLIS // Izvestija JUgo-Zapadnogo gosudarstvennogo universiteta. 2012. № 4(43). CH. 2. S. 73-77.
5. Titenko E.A., Atakishhev O.I. Metod associativnojj obrabotki strok i apparatno-orientirovannyjj algoritm dlja ego realizacii // Izvestija JUgo-Zapadnogo gosudarstvennogo universiteta. Kursk. 2011. № 6(39). CH. 2. S. 72-77.
6. Titenko E.A., Petrik E.A., Atakishhev O.I., Voronin D.A. Produkcionnaja model dlja parallelnojj obrabotki znanijj // Informacionno-izmeritelnye i upravljajushhie sistemy. 2011. T. 9. № 11. S. 81-86.