GPU accelerated RBF-FD solution of Poisson's equation
| Autor: | Jure Slak, Mitja Jančič, Gregor Kosec |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
010302 applied physics
Finite difference Order of accuracy 02 engineering and technology Numerical Analysis (math.NA) Poisson distribution 01 natural sciences symbols.namesake Robustness (computer science) 0103 physical sciences 0202 electrical engineering electronic engineering information engineering symbols FOS: Mathematics Applied mathematics 020201 artificial intelligence & image processing Mathematics - Numerical Analysis Poisson's equation Mathematics |
| Zdroj: | MIPRO |
| DOI: | 10.48550/arxiv.2107.03632 |
| Popis: | The Radial Basis Function-generated finite differences became a popular variant of local meshless strong form methods due to its robustness regarding the position of nodes and its controllable order of accuracy. In this paper, we present a GPU accelerated numerical solution of Poisson’s equation on scattered nodes in 2D for orders from 2 up to 6. We specifically study the effect of using different orders on GPU acceleration efficiency. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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