DocumentCode
244482
Title
Determining map partitioning to accelerate wind field calculation
Author
Sanjuan, Gemma ; Brun, C. ; Margalef, Tomas ; Cortes, Ana
Author_Institution
Comput. Architer & Oper. Syst., Univ. Autonoma de Barcelona, Bellaterra, Spain
fYear
2014
fDate
21-25 July 2014
Firstpage
96
Lastpage
103
Abstract
Wind speed and direction are parameters that affect forest fire propagation dramatically. So, an accurate estimation of such parameters is crucial to predict the fire propagation precisely. WindNInja is a wind field simulator that can easily be coupled to a forest fire propagation simulator such as FARSITE. However, wind field simulators present to main drawbacks: They take too much time to compute the wind field and they require a lot of memory. So, a map partitioning strategy has been developed to compute partial wind field maps that can be aggregated afterwards. Each map part can be computed in parallel and the amount of memory required is available in a single node. In this work a methodology to determine the most adequate map partitioning is presented. The map part shape, map part size, amount of overlapping and number of parts have been studied considering execution time and effects on wind field estimation. The results are based on a wide experimentation and are validated with real case scenarios.
Keywords
digital simulation; fires; forestry; geographic information systems; parameter estimation; wind; FARSITE; WindNInja; data parallelism; forest fire propagation simulator; map part shape; map part size; map partitioning strategy; parameters estimation; wind direction; wind field calculation; wind field estimation; wind field maps; wind field simulator; wind speed; Equations; Mathematical model; Memory management; Vegetation mapping; Wind speed; Data parallelism; forest fire; map partitioning; wind field;
fLanguage
English
Publisher
ieee
Conference_Titel
High Performance Computing & Simulation (HPCS), 2014 International Conference on
Conference_Location
Bologna
Print_ISBN
978-1-4799-5312-7
Type
conf
DOI
10.1109/HPCSim.2014.6903674
Filename
6903674
Link To Document