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An Investigation of Computation Time Based on Domain Size in WRF Model

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@article{IJASEIT14628,
   author = {Aisya Nafiisyanti and Ibnu Fathrio},
   title = {An Investigation of Computation Time Based on Domain Size in WRF Model},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {12},
   number = {4},
   year = {2022},
   pages = {1505--1511},
   keywords = {Computation time; NEF; ratio; processors; speed up.},
   abstract = {Estimating WRF model computation time is necessary because of the need for domain expansion for weather prediction. However, the optimum computation time is not simply gained by enlarging the domain and adding processor numbers. Thus, an investigation was carried out to determine the correlation between computation time on domain size, number of grids, and number of processors used to run the WRF model. This study uses a collection of computation time as the data input from running the WRF model with two domain group ratios, 2: 1 and 1: 1, and various processors. Negative Exponential Function (NEF) and Power Function (PF) as exponential decay functions are evaluated to represent the curve formed from the computation time against the number of processors in one domain case. This study also evaluates the speed up and efficiency of the use of processor numbers against the tested domains. NEF represents the decrease in computation time curve in a domain case better than PF since this function has a steeper slope, better initial value, and k constant that keeps the computation time falling below 0. The computation time can be optimally saved by adding approximately eight processors at the same domain ratio with four times larger grid size and the same amount of grid number. Investigations for other domain ratios need to be carried out to determine the characteristics of computation time on the number of processors, grid size, and domain size.},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=14628},
   doi = {10.18517/ijaseit.12.4.14628}
}

EndNote

%A Nafiisyanti, Aisya
%A Fathrio, Ibnu
%D 2022
%T An Investigation of Computation Time Based on Domain Size in WRF Model
%B 2022
%9 Computation time; NEF; ratio; processors; speed up.
%! An Investigation of Computation Time Based on Domain Size in WRF Model
%K Computation time; NEF; ratio; processors; speed up.
%X Estimating WRF model computation time is necessary because of the need for domain expansion for weather prediction. However, the optimum computation time is not simply gained by enlarging the domain and adding processor numbers. Thus, an investigation was carried out to determine the correlation between computation time on domain size, number of grids, and number of processors used to run the WRF model. This study uses a collection of computation time as the data input from running the WRF model with two domain group ratios, 2: 1 and 1: 1, and various processors. Negative Exponential Function (NEF) and Power Function (PF) as exponential decay functions are evaluated to represent the curve formed from the computation time against the number of processors in one domain case. This study also evaluates the speed up and efficiency of the use of processor numbers against the tested domains. NEF represents the decrease in computation time curve in a domain case better than PF since this function has a steeper slope, better initial value, and k constant that keeps the computation time falling below 0. The computation time can be optimally saved by adding approximately eight processors at the same domain ratio with four times larger grid size and the same amount of grid number. Investigations for other domain ratios need to be carried out to determine the characteristics of computation time on the number of processors, grid size, and domain size.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=14628
%R doi:10.18517/ijaseit.12.4.14628
%J International Journal on Advanced Science, Engineering and Information Technology
%V 12
%N 4
%@ 2088-5334

IEEE

Aisya Nafiisyanti and Ibnu Fathrio,"An Investigation of Computation Time Based on Domain Size in WRF Model," International Journal on Advanced Science, Engineering and Information Technology, vol. 12, no. 4, pp. 1505-1511, 2022. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.12.4.14628.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Nafiisyanti, Aisya
AU  - Fathrio, Ibnu
PY  - 2022
TI  - An Investigation of Computation Time Based on Domain Size in WRF Model
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 12 (2022) No. 4
Y2  - 2022
SP  - 1505
EP  - 1511
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - Computation time; NEF; ratio; processors; speed up.
N2  - Estimating WRF model computation time is necessary because of the need for domain expansion for weather prediction. However, the optimum computation time is not simply gained by enlarging the domain and adding processor numbers. Thus, an investigation was carried out to determine the correlation between computation time on domain size, number of grids, and number of processors used to run the WRF model. This study uses a collection of computation time as the data input from running the WRF model with two domain group ratios, 2: 1 and 1: 1, and various processors. Negative Exponential Function (NEF) and Power Function (PF) as exponential decay functions are evaluated to represent the curve formed from the computation time against the number of processors in one domain case. This study also evaluates the speed up and efficiency of the use of processor numbers against the tested domains. NEF represents the decrease in computation time curve in a domain case better than PF since this function has a steeper slope, better initial value, and k constant that keeps the computation time falling below 0. The computation time can be optimally saved by adding approximately eight processors at the same domain ratio with four times larger grid size and the same amount of grid number. Investigations for other domain ratios need to be carried out to determine the characteristics of computation time on the number of processors, grid size, and domain size.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=14628
DO  - 10.18517/ijaseit.12.4.14628

RefWorks

RT Journal Article
ID 14628
A1 Nafiisyanti, Aisya
A1 Fathrio, Ibnu
T1 An Investigation of Computation Time Based on Domain Size in WRF Model
JF International Journal on Advanced Science, Engineering and Information Technology
VO 12
IS 4
YR 2022
SP 1505
OP 1511
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 Computation time; NEF; ratio; processors; speed up.
AB Estimating WRF model computation time is necessary because of the need for domain expansion for weather prediction. However, the optimum computation time is not simply gained by enlarging the domain and adding processor numbers. Thus, an investigation was carried out to determine the correlation between computation time on domain size, number of grids, and number of processors used to run the WRF model. This study uses a collection of computation time as the data input from running the WRF model with two domain group ratios, 2: 1 and 1: 1, and various processors. Negative Exponential Function (NEF) and Power Function (PF) as exponential decay functions are evaluated to represent the curve formed from the computation time against the number of processors in one domain case. This study also evaluates the speed up and efficiency of the use of processor numbers against the tested domains. NEF represents the decrease in computation time curve in a domain case better than PF since this function has a steeper slope, better initial value, and k constant that keeps the computation time falling below 0. The computation time can be optimally saved by adding approximately eight processors at the same domain ratio with four times larger grid size and the same amount of grid number. Investigations for other domain ratios need to be carried out to determine the characteristics of computation time on the number of processors, grid size, and domain size.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=14628
DO  - 10.18517/ijaseit.12.4.14628