The aim of this work is to show how the anisotropic and heterogeneous diffusion equations can be solved numerically through the GPU technologies obtaining a speed-up improvement. Particularly, we want provide a decision-making tool to choose the appropriate binomial algorithm-GPU memory region to get the best performance in terms of computational efficiency and reduction of calculation times. The numerical simulations have been performed using finite differences method for space discretization and Euler method for time discretization, the numerical schemes have been implemented using the NVIDIA CUDA GPU.
Parallel numerical simulations of anisotropic and heterogeneous diffusion equations with GPGPU
PERA, DONATO;SIMEONI, CHIARA
2014-01-01
Abstract
The aim of this work is to show how the anisotropic and heterogeneous diffusion equations can be solved numerically through the GPU technologies obtaining a speed-up improvement. Particularly, we want provide a decision-making tool to choose the appropriate binomial algorithm-GPU memory region to get the best performance in terms of computational efficiency and reduction of calculation times. The numerical simulations have been performed using finite differences method for space discretization and Euler method for time discretization, the numerical schemes have been implemented using the NVIDIA CUDA GPU.File in questo prodotto:
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