Parallel Adaptive Mesh Refinement Algorithms on GPUs for Unstructured Grids

Date

2025-03-05

Author

Ata, Onur
Karakuş, Ali

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Adaptive mesh refinement (AMR) is a technique used to increase the spatial resolution of specific regions within the spatial domain of a simulation. It is useful in large-scale simulations to achieve a more computationally efficient distribution of meshes. However, large-scale simulations also require the use of parallel computations, utilizing CPUs or GPUs. In this case, implementing an AMR technique in a parallel computation system presents challenges. In this study, we propose algorithms for parallel AMR on GPUs, focusing on unstructured grids in both 2D and 3D domains, composed of triangles and tetrahedrals, respectively. Our refinement strategy ensures the maintenance of a conformal mesh structure during the processes of refinement and coarsening. We want to utilize this strategy to solve flows present discontinouties like compressible flows with shockwaves.

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https://hdl.handle.net/11511/114863

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Department of Mechanical Engineering, Conference / Seminar