CIMEC 24726
CENTRO DE INVESTIGACION DE METODOS COMPUTACIONALES
Unidad Ejecutora - UE
artículos
Título:
GPGPU implementation of the BFECC algorithm for pure advection equations
Autor/es:
SANTIAGO D. COSTARELLI; MARIO A. STORTI; RODRIGO R. PAZ; LISANDRO D. DALCÍN; SERGIO R. IDELSOHN
Revista:
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
Editorial:
SPRINGER
Referencias:
Lugar: Berlin; Año: 2013 p. 1 - 12
ISSN:
1386-7857
Resumen:
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.
