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

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:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/94545
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact