Date of Award
2-2012
Document type
dissertation
Access Type
Open Access Dissertation
Degree Name
Doctor of Philosophy (PhD)
Degree Program
Mechanical Engineering
First Advisor
J. Blair Perot
Second Advisor
Stephen de Bruyn Kops
Third Advisor
Rui Wang
Subject Categories
Industrial Engineering | Mechanical Engineering
Abstract
Graphics processing units function well as high performance computing devices for scientific computing. The non-standard processor architecture and high memory bandwidth allow graphics processing units (GPUs) to provide some of the best performance in terms of FLOPS per dollar. Recently these capabilities became accessible for general purpose computations with the CUDA programming environment on NVIDIA GPUs and ATI Stream Computing environment on ATI GPUs. Many applications in computational science are constrained by memory access speeds and can be accelerated significantly by using GPUs as the compute engine. Using graphics processing units as a compute engine gives the personal desktop computer a processing capacity that competes with supercomputers. Graphics Processing Units represent an energy efficient architecture for high performance computing in flow simulations and many other fields. This document reviews the graphic processing unit and its features and limitations.
DOI
https://doi.org/10.7275/hhk9-mx74
Recommended Citation
Khajeh Saeed, Ali, "Acceleration of CFD and Data Analysis Using Graphics Processors" (2012). Open Access Dissertations. 524.
https://doi.org/10.7275/hhk9-mx74
https://scholarworks.umass.edu/open_access_dissertations/524