Home
Resource
GPU techniques applied to Euler flow simulations and comparison to CPU performance
PDF
PDF format is widely accepted and good for printing.
Plug-in required
PDF-1(3.04 MB)
Citation & Export
View Usage Statistics
Staff View

Citation & Export
Hide

Simple citation

Koop, Blake. GPU techniques applied to Euler flow simulations and comparison to CPU performance. Retrieved from https://doi.org/doi:10.7282/T3NV9GJ0

Export

Click here for information about Citation Management Tools at Rutgers.

Statistics
Hide

Description

TitleGPU techniques applied to Euler flow simulations and comparison to CPU performance
NameKoop, Blake (author); Knight, Doyle D (chair); Shan, Jerry (internal member); Bagchi, Prosenjit (internal member); Rutgers University; Graduate School - New Brunswick
Date Created2014
Other Date2014-05 (degree)
SubjectMechanical and Aerospace Engineering, Graphics processing units, Computer interfaces
Extentviii, 145 p. : ill.
DescriptionWith the decrease in cost of computing, and the increasingly friendly programming environments, the demand for computer generated models of real world problems has surged. Each generation of computer hardware becomes marginally faster than its predecessor, allowing for decreases in required computation time. However, the progression is slowing and will soon reach a barrier as lithography reaches its natural limits. General Purpose Graphics Processing Unit (GPGPU) programming, rather than traditional programming written for Central Processing Unit (CPU) architectures may be a viable way for computational scientists to continue to realize wall clock time reductions at a Moore's Law pace. If a code can be modified to take advantage of the Single-Input-Multiple-Data (SIMD) architecture of Graphics Processing Units (GPUs), it may be possible to gain the functionality of hundreds or thousands of cores available on a GPU card. This paper details the investigation of a specific compressible flow simulation and its functionality in both CPU and GPU programming schemes. The flow is governed by the unsteady Euler flow equations and it is checked for validity against the known solution in all three directions. It is then run over varying grid sizes using both the CPU and GPU programming schemes to evaluate wall clock time reductions.
NoteM.S.
NoteIncludes bibliographical references
Noteby Blake Koop
Genretheses, ETD graduate
Persistent URLhttps://doi.org/doi:10.7282/T3NV9GJ0
Languageeng
CollectionGraduate School - New Brunswick Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
Version 8.5.5
Rutgers University Libraries - Copyright ©2024