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gNek: A GPU Accelerated Incompressib...

Stilwell, Nichole.

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gNek: A GPU Accelerated Incompressible Navier Stokes Solver.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	gNek: A GPU Accelerated Incompressible Navier Stokes Solver./
Author:	Stilwell, Nichole.
Description:	142 p.
Notes:	Source: Masters Abstracts International, Volume: 52-04.
Contained By:	Masters Abstracts International52-04(E).
Subject:	Applied Mathematics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1524727
ISBN:	9781303621581

gNek: A GPU Accelerated Incompressible Navier Stokes Solver.
Stilwell, Nichole.

gNek: A GPU Accelerated Incompressible Navier Stokes Solver. - 142 p.

Source: Masters Abstracts International, Volume: 52-04.

Thesis (M.S.)--Rice University, 2013.

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 and 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.

ISBN: 9781303621581Subjects--Topical Terms:

1669109
Applied Mathematics.

gNek: A GPU Accelerated Incompressible Navier Stokes Solver.
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008 150210s2013 ||||||||||||||||| ||eng d
020 $a 9781303621581
035 $a (MiAaPQ)AAI1524727
035 $a AAI1524727
040 $a MiAaPQ $c MiAaPQ
100 1 $a Stilwell, Nichole. $3 2096365
245 1 0 $a gNek: A GPU Accelerated Incompressible Navier Stokes Solver.
300 $a 142 p.
500 $a Source: Masters Abstracts International, Volume: 52-04.
500 $a Adviser: Timothy Warburton.
502 $a Thesis (M.S.)--Rice University, 2013.
520 $a 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 and 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.
590 $a School code: 0187.
650 4 $a Applied Mathematics. $3 1669109
650 4 $a Mathematics. $3 515831
650 4 $a Engineering, Computer. $3 1669061
690 $a 0364
690 $a 0405
690 $a 0464
710 2 $a Rice University. $3 960124
773 0 $t Masters Abstracts International $g 52-04(E).
790 $a 0187
791 $a M.S.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1524727