Parallel computing efficiency of SWAN 40.91
نویسندگان
چکیده
Abstract. Effective and accurate ocean coastal wave predictions are necessary for engineering, safety recreational purposes. Refining predictive capabilities is increasingly critical to reduce the uncertainties faced with a changing global climatology. Simulating WAves in Nearshore (SWAN) widely used spectral modelling tool employed by engineers scientists, including operational forecasting Fore- hindcasts can span hours decades, detailed understanding of computational efficiencies required design optimized protocols hindcast scenarios. To date, there exists limited knowledge on relationship between size SWAN domain optimal amount parallel threads/cores execute simulation effectively. test scalability, cluster 28 (1 node) was determine computation model configuration southern Africa. The extent resolution emulate current developed South African Weather Service (SAWS). We implemented compared both OpenMP Message Passing Interface (MPI) distributing memory architectures. Three sequential simulations (corresponding typical grid cell numbers) were various permutations computations using speed-up ratio, time-saving ratio efficiency tests. Generally, node six produced most effective set-up based 1-week duration. use more than 20 resulted decrease smallest domain, owing increased sub-domain communication times sizes.
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ژورنال
عنوان ژورنال: Geoscientific Model Development
سال: 2021
ISSN: ['1991-9603', '1991-959X']
DOI: https://doi.org/10.5194/gmd-14-4241-2021