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Solving 3D incompressible Navier-Stokes equations on hybrid CPU/GPU systems
- Source :
- ACM Digital Library, High Performance Computing Symposium (HPC'14), High Performance Computing Symposium (HPC'14), Spring Simulation Multiconference, Apr 2014, Tampa, Florida, USA, United States, Scopus-Elsevier
- Publication Year :
- 2014
- Publisher :
- HAL CCSD, 2014.
-
Abstract
- International audience; This paper describes a hybrid multicore/GPU solver for the incompressible Navier-Stokes equations with constant coefficients, discretized by the finite difference method. By applying the prediction-projection method, the Navier-Stokes equations are transformed into a combination of Helmholtz- like and Poisson equations for which we describe efficient solvers. As an extension of a previous paper, this paper proposes a new implementation that takes advantage of GPU accelerators. We present numerical experiments on a current hybrid machine.
- Subjects :
- Physics::Fluid Dynamics
ComputerSystemsOrganization_COMPUTERSYSTEMIMPLEMENTATION
Graphics Processing Unit (GPU)
ComputingMethodologies_SIMULATIONANDMODELING
parallel computing
MathematicsofComputing_NUMERICALANALYSIS
Mathematics::Analysis of PDEs
Navier-Stokes equations
[INFO.INFO-NA]Computer Science [cs]/Numerical Analysis [cs.NA]
prediction-projection method
ComputingMethodologies_COMPUTERGRAPHICS
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- ACM Digital Library, High Performance Computing Symposium (HPC'14), High Performance Computing Symposium (HPC'14), Spring Simulation Multiconference, Apr 2014, Tampa, Florida, USA, United States, Scopus-Elsevier
- Accession number :
- edsair.dedup.wf.001..6eb0e733f33650e45ad266d6dc9cc7c9