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Параллельные алгоритмы моделирования процессов распространения лесных пожаров на основе математических моделей различных типов

Параллельные алгоритмы моделирования процессов распространения лесных пожаров на основе математических моделей различных типов

Abstract

We propose a computational modeling technique for the spread of a forest fire on the basis of parallel algorithms, the mathematical model of the process and geometric domain decomposition. We describe both identification of the model parameters and the implementation of algorithms on a cluster system ICM SB RAS (Krasnoyarsk). We analyze the effect of the overlapping area between the computational subdomains. The effects of scaling and acceleration of calculations were analyzed using different methods of decomposition of the computational domain that matches the results on the boundaries of the computational subdomains.

Предложена вычислительная технология моделирования процесса распространения лесного пожара на основе параллельных алгоритмов, использующая математическую модель данного процесса и геометрическую декомпозицию расчётной области. Описаны идентификация параметров модели и программная реализация алгоритмов на кластерной системе ИВМ СО РАН (г. Красноярск). Исследовано влияние величины зоны перекрытия между расчётными подобластями. Исследован эффект масштабирования и ускорения вычислений при различных способах декомпозиции расчётной области с учётом согласования результатов на границах расчётных подобластей.

Keywords

ДИНАМИКА ЛЕСНЫХ ПОЖАРОВ, МАТЕМАТИЧЕСКАЯ МОДЕЛЬ, ВЫСОКОПРОИЗВОДИТЕЛЬНЫЕ ВЫЧИСЛЕНИЯ, ГЕОМЕТРИЧЕСКАЯ ДЕКОМПОЗИЦИЯ РАСЧЁТНОЙ ОБЛАСТИ

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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
Average
Average
bronze
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