The proposed framework demonstrates that tailored GPU parallelization is effective in overcoming the computational bottleneck of un-structured FEM-based atmospheric models, facilitating high-resolution simulations on heterogeneous architectures.
A GPUaccelerated implicit solver for diffusion problems is developed within the CMP platform and results show that layout optimization has a limited effect in two-dimensional cases with relatively good locality, but becomes more effective for three-dimensional unstructured grids.
Kai-Xin Guo, Aoxue Chen, Zhicheng Tan et al.· International Journal of Com...· 0 citations
The rapid growth of computational power has revolutionized numerical simulations, profoundly enhancing our understanding of fluids and plasmas. Computational fluid dynamics (CFD) simulations, which solve partial differential equations governing fluid or plasma motion on discretized grids, have been central to this prog...
A solution framework with fast matrix-free operator evaluation for all ingredients, combined with multigrid solvers for the Poisson problem, and a robust mixed-precision algorithmic framework to generate accurate initial guesses for the iterative linear solvers are developed.
Ivan Prusak, Enes Mustafa Soydan, Ivan Pribec et al.· 0 citations
This study develops a graphics processing unit (GPU)-accelerated spectral element phase-field method for efficient and accurate simulation of incompressible two-phase flows. The objective is to reduce the cost of the repeated elliptic subproblems that dominate Navier–Stokes–Cahn–Hilliard simulations while retaining hig...
Yao Xiao, Li-Ai Han, Ji Yao et al.· The Physics of Fluids· 0 citations
We present a nodal discontinuous Galerkin method for solving the Bhatnagar-Gross-Krook (BGK) kinetic equation on multi-dimensional, unstructured grids. The method uses implicit, sweep-based solvers and a moment-preserving projection of the Maxwellian source to enable high-order accuracy in time while avoiding restricti...
T. Evans, Ryan S. Glasby, Cory D. Hauck et al.· 1 citation
We introduce TokaGLINT, a GPU-accelerated implicit solver for electromagnetic field computations in full 3D tokamak simulations, aimed at efficient large-scale parallel GPU computing. Its central innovation lies in the co-design of hierarchical domain decomposition and a fast exact local solver, where hierarchical part...
Zi-Fan Yang, Hao-Yuan Zhang, Jia-Lin Li et al.· 0 citations
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