| Abstract |
This paper presents the GPU acceleration of a legacy Fortran-based two-dimensional viscous Navier-Stokes solver designed for aerothermodynamic applications. The code utilizes a multi-species, two-temperature model for chemically reacting gases and employs a line-implicit solver on unstructured meshes. Additionally, the solver includes the exact discrete adjoint system of the real-gas model for uncertainty quantification. To ensure hardware vendor neutrality, the OCCA abstraction model is employed for adapting the legacy codebase to GPU architectures. |
| Authors |
Andrew C. Kirby   , Dimitri J. Mavriplis
|
| Journal Info |
| AIAA SCITECH 2022 Forum
|
| Publication Date |
1/3/2025 |
| ISSN |
|
Type |
article |
| Open Access |
closed
|
| DOI |
https://doi.org/10.2514/6.2025-0784 |
| Keywords |
Solver (Score: 0.8238476) , Hypersonic flow (Score: 0.44099605)
|
