Name
Abstract | ||
|---|---|---|
Due to its high performance and throughput capabilities, GPU-accelerated computing is becoming a popular technology in scientific computing, in particular using programming models such as CUDA and OpenACC. The main advantage with OpenACC is that it enables to simply port codes in their “original” form to GPU systems through compiler directives, thus allowing an incremental approach. An OpenACC implementation is applied to the CFD code Nek5000 for simulation of incompressible flows, based on the spectral-element method. The work follows up previous implementations and focuses now on the PN−PN−2 method for the spatial discretization of the Navier–Stokes equations. Performance results of the ported code show a speed-up of up to 3.1 on multi-GPU for a polynomial order N>11. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.jpdc.2019.05.010 | Journal of Parallel and Distributed Computing |
Keywords | Field | DocType |
Nek5000,OpenACC,GPU programming,Spectral element method,High performance computing | Discretization,Polynomial,Programming paradigm,CUDA,Computer science,Parallel computing,Compiler,Porting,Acceleration,Computational fluid dynamics | Journal |
Volume | ISSN | Citations |
132 | 0743-7315 | 1 |
PageRank | References | Authors |
0.48 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Evelyn Otero | 1 | 1 | 0.48 |
| Jing Gong | 2 | 6 | 2.93 |
| Misun Min | 3 | 58 | 7.83 |
| P. F. Fischer | 4 | 64 | 14.61 |
| Philipp Schlatter | 5 | 13 | 5.17 |
| Erwin Laure | 6 | 369 | 44.71 |