Forest Fire Danger Assessment Using SPMD-Model of Computation for Massive Parallel System / N. V. Baranovskiy
Уровень набора: International Review on Modelling and Simulations (IREMOS)Язык: английский.Страна: .Резюме или реферат: A new approach to forecast forest fire danger using parallel computing operations in the computing systems with parallel architecture is the subject of this article. The parallel realization of the deterministic-probabilistic approach to estimate forest fire danger using the SPMD calculation model is presented. The parallel program is implemented using C programming language of high level with the Message Passing Interface (MPI). The computing experiments have been carried out by the Skif Cyberia multiprocessor cluster. The information on efficiency estimation and calculation acceleration is presented for this approach. The approach has been tested in the territory of the Timiryazevskiy forestry in Tomsk region (Russia). The typical results of forest fire danger estimation in the controlled forested territory are presented..Примечания о наличии в документе библиографии/указателя: [References: 44 tit.].Аудитория: .Тематика: труды учёных ТПУ | электронный ресурс | parallel realization | forest fire danger | mathematical simulation | multiprocessor computing system | assessment | SPMD-model | лесные пожары | опасность | математическое моделирование | многопроцессорные вычислительные системы | оценка | Томская область Ресурсы он-лайн:Щелкните здесь для доступа в онлайнTitle screen
[References: 44 tit.]
A new approach to forecast forest fire danger using parallel computing operations in the computing systems with parallel architecture is the subject of this article. The parallel realization of the deterministic-probabilistic approach to estimate forest fire danger using the SPMD calculation model is presented. The parallel program is implemented using C programming language of high level with the Message Passing Interface (MPI). The computing experiments have been carried out by the Skif Cyberia multiprocessor cluster. The information on efficiency estimation and calculation acceleration is presented for this approach. The approach has been tested in the territory of the Timiryazevskiy forestry in Tomsk region (Russia). The typical results of forest fire danger estimation in the controlled forested territory are presented.
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