GPGPU implementation of the BFECC algorithm for pure advection equations

In the present work an implementation of the Back and Forth Error Compensation and Correction (BFECC) algorithm specially suited for running on General-Purpose Graphics Processing Units (GPGPUs) through Nvidia`s Compute Unified Device Architecture (CUDA) is analyzed in order to solve transient pure advection equations. The objective is to compare it to a previous explicit version used in a Navier-Stokes solver fully written in CUDA. It turns out that BFECC could be implemented with unconditional stable stability using Semi-Lagrangian time integration allowing larger time steps than Eulerian ones.

Palabras clave: Gpgpu , Cuda , Bfecc , Semi-Lagrangian , Level-Set , Navier-Stokes

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Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)

Identificadores

URI: http://hdl.handle.net/11336/8745

DOI: http://dx.doi.org/10.1007/s10586-013-0329-9

URL: http://link.springer.com/article/10.1007/s10586-013-0329-9

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Articulos(CIMEC)
Articulos de CENTRO DE INVESTIGACION DE METODOS COMPUTACIONALES

Citación

Costarelli, Santiago Daniel; Storti, Mario Alberto; Paz, Rodrigo Rafael; Dalcin, Lisandro Daniel; Idelsohn, Sergio Rodolfo; GPGPU implementation of the BFECC algorithm for pure advection equations; Springer; Cluster Computing-the Journal Of Networks Software Tools And Applications; 17; 2; 27-11-2013; 243-254

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