Subject: ArrayFire
Subject: grounding
Subject: parallelization
Subject: GPU
Subject: step voltages
Subject: touch voltages
Subject: ground potential rise

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Year: 2021

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Type: Proceeding article

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Title: Improving the Efficiency of Grounding System Analysis Using GPU Parallelization

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Author: Velkovski, Bodan
Author: Markovski, Blagoja
Author: Gjorgievski, Vladimir
Author: Markovska, Marija
Author: Grcev, Leonid
Author: Kalabakov, Stefan
Author: Merdjanovska, Elena

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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.

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Publisher: ETAI - Society for Electronics, Telecommunications, Automatics and Informatics of the Republic of North Macedonia

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Relation: NIP.UKIM.20-21.10

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Identifier: oai:repository.ukim.mk:20.500.12188/21992
Identifier: http://hdl.handle.net/20.500.12188/21992

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