Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.23919/MIPRO48935.2020.9245221 | 2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO) |
Keywords | DocType | ISSN |
Radial Basis Function-generated finite differences,local meshless strong form methods,numerical solution,scattered nodes,GPU acceleration efficiency,GPU accelerated RBF-FD solution,Poisson's equation | Conference | Mipro Conference 2020 |
ISBN | Citations | PageRank |
978-1-7281-5339-1 | 0 | 0.34 |
References | Authors | |
6 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mitja Jancic | 1 | 0 | 0.34 |
| Jure Slak | 2 | 0 | 0.34 |
| Gregor Kosec | 3 | 15 | 4.52 |