A multi-colored Gauss-Seidel solver for aerodynamic simulations of a transport aircraft model on graphics processing units

• Published in: Advances in aerodynamics Vol. 7; no. 1; p. 8
• Main Authors: Yang, Liu, Yang, Jian
• Format: Journal Article
• Language: English
• Published: Singapore Springer Nature Singapore 01.12.2025; Springer Nature B.V
• Subjects: Aerodynamics; Aerospace Technology and Astronautics; Aircraft; Algorithms; Codes; Data exchange; Energy consumption; Engineering; Finite volume method; Fluid dynamics; Graph coloring; Simulation; Software; Turbulence models; CFD; Finite volume method; High-performance computing; GPU; Multi-colored Gauss-Seidel
• ISSN: 2097-3462; 2524-6992; 2524-6992
• DOI: 10.1186/s42774-024-00200-5

For practical large-scale applications of computational fluid dynamics in the aerospace industry, implicit flow solvers are necessitated for efficient simulations. This paper presents the implementation of a solver that employs an unstructured finite volume approach and a Multi-Colored Gauss-Seidel (MCGS) method for steady-state compressible flow simulations on a server equipped with multiple Graphics Processing Units (GPUs). The mesh partition process is completed with PyMetis, and Message Passing Interface (MPI) is utilized for communications between mesh partitions. A parallel coloring algorithm is employed in the pre-processing module. The code is developed using a hybrid programming approach, with the main framework written in Python and the GPU kernel source codes written in C. The transonic turbulent flows over the CHN-T1 transport aircraft model are simulated on unstructured hybrid meshes. The numerical results are compared with experimental data, and the performance of the developed flow simulation framework is analysed.