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GPGPU implementation of the BFECC algorithm for pure advection equations.
- Source :
-
Cluster Computing . Jun2014, Vol. 17 Issue 2, p243-254. 12p. - Publication Year :
- 2014
-
Abstract
- 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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 13867857
- Volume :
- 17
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Cluster Computing
- Publication Type :
- Academic Journal
- Accession number :
- 96201786
- Full Text :
- https://doi.org/10.1007/s10586-013-0329-9