Simulation of cellular automata on graphics processing units
Game of Life is a simple version of Cellular Automata which evolves from the ini- tial state and stops at a stable state when there is no further evolution. Flocking which depicts a behavior of a group of birds. CPU are not suitable for simulating a large size of data, because l...
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sg-ntu-dr.10356-488032023-03-03T20:54:48Z Simulation of cellular automata on graphics processing units Chitpaseuth Somphet. Cai Wentong School of Computer Engineering Parallel and Distributed Computing Centre DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics Game of Life is a simple version of Cellular Automata which evolves from the ini- tial state and stops at a stable state when there is no further evolution. Flocking which depicts a behavior of a group of birds. CPU are not suitable for simulating a large size of data, because limitation of processing power. In this project, graphic processing unit (GPU) is proposed as an alternative com- puting architecture to address the problem. NVIDIA CUDA was used as a main language to develop a simulation program. Game of Life and Flocking simulation were written and executed to compare their executing time. Bachelor of Engineering (Computer Science) 2012-05-10T00:55:48Z 2012-05-10T00:55:48Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/48803 en Nanyang Technological University 57 p. application/pdf |
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DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics Chitpaseuth Somphet. Simulation of cellular automata on graphics processing units |
description |
Game of Life is a simple version of Cellular Automata which evolves from the ini-
tial state and stops at a stable state when there is no further evolution. Flocking
which depicts a behavior of a group of birds. CPU are not suitable for simulating
a large size of data, because limitation of processing power.
In this project, graphic processing unit (GPU) is proposed as an alternative com-
puting architecture to address the problem. NVIDIA CUDA was used as a main
language to develop a simulation program. Game of Life and Flocking simulation
were written and executed to compare their executing time. |
author2 |
Cai Wentong |
author_facet |
Cai Wentong Chitpaseuth Somphet. |
format |
Final Year Project |
author |
Chitpaseuth Somphet. |
author_sort |
Chitpaseuth Somphet. |
title |
Simulation of cellular automata on graphics processing units |
title_short |
Simulation of cellular automata on graphics processing units |
title_full |
Simulation of cellular automata on graphics processing units |
title_fullStr |
Simulation of cellular automata on graphics processing units |
title_full_unstemmed |
Simulation of cellular automata on graphics processing units |
title_sort |
simulation of cellular automata on graphics processing units |
publishDate |
2012 |
url |
http://hdl.handle.net/10356/48803 |
_version_ |
1759853002356686848 |