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Моделирование карьеров рудных месторождений на высокопроизводительных гибридных вычислительных системах

Authors: Petrov, D. V.; Mikhelev, V. M.;

Моделирование карьеров рудных месторождений на высокопроизводительных гибридных вычислительных системах

Abstract

В статье описаны принципы моделирования предельных границ рудных месторождений на высокопроизводительных вычислительных системах с гибридной архитектурой с применением параллельного генетического алгоритма. This paper describes the principles of supercomputer simulations of the searching open pit limits on high performance hybrid computing systems using parallel genetic algorithm. Петров Денис Васильевич, Белгородский государственный университет (Белгород, Российская Федерация), petrov@bsu.edu.ru. Михелев Владимир Михайлович, Белгородский государственный университет (Белгород, Российская Федерация). D.V. Petrov, Belgorod National Research University (Belgorod, Russian Federation), V.M. Mikhelev, Belgorod National Research University (Belgorod, Russian Federation)

Keywords

параллельное программирование, 001.891 [УДК 004.4], the open pit limits, УДК 004.382.2, parallel programming, УДК 004.89, grid systems, грид-системы, cуперкомпьютерное моделирование, предельные границы рудных месторождений, ГРНТИ 50.41, supercomputing simulation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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