Ідентифікація інтенсивності джерел забруднення атмосфери на базі гібридних обчислювальних систем
The method of identification of the intensity of the sources of chemically interacting pollutants is presented. The implemented model includes the phenomenon of self-purification in reaching the limit concentration. For computational implementation the possibility is shown of using parallel methods...
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| Datum: | 2017 |
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| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | Ukrainisch |
| Veröffentlicht: |
The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2017
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| Schlagworte: | |
| Online Zugang: | http://journal.iasa.kpi.ua/article/view/117180 |
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| Назва журналу: | System research and information technologies |
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System research and information technologies| Zusammenfassung: | The method of identification of the intensity of the sources of chemically interacting pollutants is presented. The implemented model includes the phenomenon of self-purification in reaching the limit concentration. For computational implementation the possibility is shown of using parallel methods based on Nvidia CUDA graphic processing units. The method of source identification combined with the parallel computing implementation using the modified red-black ordering (D4) method reduces simulation time by 12 times and the RAM usage by 30% when using the Nvidia c2050 graphics accelerator in comparison with the node of the NTUU "KPI" cluster. |
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