An efficient aerodynamic design of vehicles is one possibility for the automotive industry to meet the increasingly restrictive emission regulations and also customer requirements regarding fuel economy. CFD methods have become a valuable tool to address such topics. However, todays detailed vehicle simulations require a considerable amount of time and hardware resources. Due to a massively parallel execution of numerical algorithms on GPUs, GPU computing offers significant reduction of turn-around times and has become an powerful alternative to CPU-based systems in the HPC sector. This paper presents recent developments for accelerating the widespread Navier-Stokes-based CFD methods by using a hybrid CPU-GPU approach. In addition, results of a Lattice-Boltzmann method, which has been implemented completely in CUDA for highly efficient computations on GPUs are shown.
Accelerated CFD Simulations Using Eulerian and Lagrangian Methods on GPUs
2013
6 Seiten, 8 Quellen
Aufsatz (Konferenz)
Englisch
Eulerian-Lagrangian Simulations of Transonic Flutter Instabilities
British Library Online Contents | 1994
|Developing SPH simulations for coastal applications accelerated on GPUS using dualphysics
BASE | 2015
|Developing SPH simulations for coastal applications accelerated on GPUS using dualphysics
HENRY – Bundesanstalt für Wasserbau (BAW) | 2015
|Evaluation of the Eulerian-Lagrangian spray atomisation (ELSA) in spray simulations
Online Contents | 2011
|