gNek: A GPU Accelerated Incompressible Navier Stokes Solver

Simple item page
dc.contributor.advisorWarburton, Timothyen_US
dc.contributor.committeeMemberRiviere, Beatrice M.en_US
dc.contributor.committeeMemberEmbree, Marken_US
dc.creatorStilwell, Nicholeen_US
dc.date.accessioned2013-09-16T16:44:51Zen_US
dc.date.accessioned2013-09-16T16:44:54Zen_US
dc.date.available2013-09-16T16:44:51Zen_US
dc.date.available2013-09-16T16:44:54Zen_US
dc.date.created2013-05en_US
dc.date.issued2013-09-16en_US
dc.date.submittedMay 2013en_US
dc.date.updated2013-09-16T16:44:54Zen_US
dc.description.abstractThis 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.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationStilwell, Nichole. "gNek: A GPU Accelerated Incompressible Navier Stokes Solver." (2013) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/72043">https://hdl.handle.net/1911/72043</a>.en_US
dc.identifier.slug123456789/ETD-2013-05-449en_US
dc.identifier.urihttps://hdl.handle.net/1911/72043en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectIncompressible Navier Stokesen_US
dc.subjectComputational fluid dynamicsen_US
dc.subjectGPUen_US
dc.subjectAccelerateden_US
dc.subjectFluid flowen_US
dc.subjectSpectral element methoden_US
dc.subjectProjection methoden_US
dc.subjectSplitting methoden_US
dc.subjectDomain decompositionen_US
dc.titlegNek: A GPU Accelerated Incompressible Navier Stokes Solveren_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentComputational and Applied Mathematicsen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Artsen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
STILWELL-THESIS.pdf
Size:
2.76 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.61 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Rice University Theses and Dissertations