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dc.contributor.advisor Warburton, Timothy
dc.creatorStilwell, Nichole
dc.date.accessioned 2013-09-16T16:44:51Z
dc.date.accessioned 2013-09-16T16:44:54Z
dc.date.available 2013-09-16T16:44:51Z
dc.date.available 2013-09-16T16:44:54Z
dc.date.created 2013-05
dc.date.issued 2013-09-16
dc.date.submitted May 2013
dc.identifier.citation Stilwell, Nichole. "gNek: A GPU Accelerated Incompressible Navier Stokes Solver." (2013) Master’s Thesis, Rice University. http://hdl.handle.net/1911/72043.
dc.identifier.urihttp://hdl.handle.net/1911/72043
dc.description.abstract This thesis presents a GPU accelerated implementation of a high order splitting scheme with a spectral element discretization for the incompressible Navier Stokes (INS) equations. While others have implemented this scheme on clusters of processors using the Nek5000 code, to my knowledge this thesis is the first to explore its performance on the GPU. This work implements several of the Nek5000 algorithms using OpenCL kernels that efficiently utilize the GPU memory architecture, and achieve massively parallel on chip computations. These rapid computations have the potential to significantly enhance computational fluid dynamics (CFD) simulations that arise in areas such as weather modeling or aircraft design procedures. I present convergence results for several test cases including channel, shear, Kovasznay, and lid-driven cavity flow problems, which achieve the proven convergence results.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.subjectIncompressible Navier Stokes
Computational fluid dynamics
GPU
Accelerated
Fluid flow
Spectral element method
Projection method
Splitting method
Domain decomposition
dc.title gNek: A GPU Accelerated Incompressible Navier Stokes Solver
dc.contributor.committeeMember Riviere, Beatrice M.
dc.contributor.committeeMember Embree, Mark
dc.date.updated 2013-09-16T16:44:54Z
dc.identifier.slug 123456789/ETD-2013-05-449
dc.type.genre Thesis
dc.type.material Text
thesis.degree.department Computational and Applied Mathematics
thesis.degree.discipline Engineering
thesis.degree.grantor Rice University
thesis.degree.level Masters
thesis.degree.name Master of Arts


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