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http://hdl.handle.net/20.500.12188/21992
Наслов: | Improving the Efficiency of Grounding System Analysis Using GPU Parallelization | Authors: | Velkovski, Bodan Markovski, Blagoja Gjorgievski, Vladimir Markovska, Marija Grcev, Leonid Kalabakov, Stefan Merdjanovska, Elena |
Keywords: | ArrayFire grounding parallelization GPU step voltages touch voltages ground potential rise |
Issue Date: | 21-сеп-2021 | Publisher: | ETAI - Society for Electronics, Telecommunications, Automatics and Informatics of the Republic of North Macedonia | Проект: | NIP.UKIM.20-21.10 | Series/Report no.: | ETAI;2021 | Conference: | ETAI 2021 | Abstract: | Safety analyses of the effectiveness of large grounding systems are often hampered by the lengthy computation times. Using even the simplest image models, the evaluation of touch and step voltages can require from several minutes to several hours of computations on modern CPUs. Our analysis shows that substantial reduction of computation times can be achieved by utilizing GPU parallelization. In this paper we provide basic steps in the implementation of GPU parallelization on the simplest equipotential model for grounding analysis in homogeneous earth, and we test the effectiveness of this approach in different scenarios. | URI: | http://hdl.handle.net/20.500.12188/21992 |
Appears in Collections: | Faculty of Electrical Engineering and Information Technologies: Conference Papers |
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41 - Improving the Efficiency of Grounding System Analysis Using GPU Parallelization - ETAI 2021.pdf | 1.23 MB | Adobe PDF | View/Open |
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