SCALABLE APPLICATION FOR THE SEARCH OF GLOBAL MINIMUMA OF MULTIEXTREMAL FUNCTIONS
I. V. Bychkov1, G. A. Oparin1, A. N. Chernykh2, A. G. Feoktistov1, S. A. Gorskii1, R. Rivera-Rodriguez2
1Matrosov Institute for System Dynamics and Control Theory, Siberian Branch, Russian Academy of Sciences, 664033, Russia, Irkutsk, ul. Lermontova, 134, postbox 29
2Centro de investigaciГіn Cientifica y de educatiГіn Superior de Ensenada, Baja California, 22860, Mexico, Ensenada, Ensenada-Tijuana Highway, 3918, postbox 360
Keywords: распределённые вычисления, масштабируемое приложение, многоэкстремальные функции, distributed computations, scalable application, multiextremal functions
Abstract
This paper describes the urgent task of providing scalability of calculations in the solution of multiextremal problems arising in different branches of scientific studies, including image processing. There is an approach proposed for the development of the Gradient scalable application for the solution of the problem of global optimization of multiextremal functions with account for a multistart method in the Orlando instrumental complex. An additional step of calculations is implemented in the solution of the problem, which makes it possible to decompose the problem with account for the performance of computational resources and thereby minimize the time it takes to solve it as opposed to a classical multistart method. Special agents of the metamonitoring system for measuring the performance of resource with regard to the problem solved.
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