Forest Fire Danger Assessment Using SPMD-Model of Computation for Massive Parallel System; International Review on Modelling and Simulations (IREMOS); Vol. 10, № 3

Chi tiết về thư mục
Parent link:International Review on Modelling and Simulations (IREMOS)
Vol. 10, № 3.— 2017.— [P. 193-201]
Tác giả chính: Baranovskiy N. V. Nikolay Viktorovich
Tác giả của công ty: Национальный исследовательский Томский политехнический университет (ТПУ) Энергетический институт (ЭНИН) Кафедра теоретической и промышленной теплотехники (ТПТ)
Tóm tắt:Title screen
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.
Режим доступа: по договору с организацией-держателем ресурса
Ngôn ngữ:Tiếng Anh
Được phát hành: 2017
Những chủ đề:
Truy cập trực tuyến:https://doi.org/10.15866/iremos.v10i3.10570
Định dạng: Điện tử Chương của sách
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=656073
Miêu tả
Tóm tắt:Title screen
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.
Режим доступа: по договору с организацией-держателем ресурса
DOI:10.15866/iremos.v10i3.10570