2022
DOI: 10.1016/j.envsoft.2022.105532
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Computing efficiency of XBeach hydro- and wave dynamics on Graphics Processing Units (GPUs)

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Cited by 6 publications
(1 citation statement)
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“…The study considers storms as a 12-h duration event with constant characteristics, helping to reduce computational time while focusing on the peak of the storm, which corresponds to the point of highest impact (Mendoza and Jimeńez, 2008;Mendoza et al, 2011). Since the increase of simulation velocity is a crucial factor, we use the Message Passing Interface (MPI) module from XBeach, which allows one to parallelize the code and simulate with simultaneous processors, which is four in our case (Clarke et al, 1994;Rautenbach et al, 2022). This strategy helps to speed up the process, resulting on an average computational time of 1 h per case, while if serial computing was used, the average time could go up to 5-6 h per case.…”
Section: Modelingmentioning
confidence: 99%
“…The study considers storms as a 12-h duration event with constant characteristics, helping to reduce computational time while focusing on the peak of the storm, which corresponds to the point of highest impact (Mendoza and Jimeńez, 2008;Mendoza et al, 2011). Since the increase of simulation velocity is a crucial factor, we use the Message Passing Interface (MPI) module from XBeach, which allows one to parallelize the code and simulate with simultaneous processors, which is four in our case (Clarke et al, 1994;Rautenbach et al, 2022). This strategy helps to speed up the process, resulting on an average computational time of 1 h per case, while if serial computing was used, the average time could go up to 5-6 h per case.…”
Section: Modelingmentioning
confidence: 99%