High performance computing systems for many-core processors

Computer simulations can be used in different research fields. One of them is to perform real world obstacle detection and avoidance for unmanned vehicles. In addition, very little research has been done on simulating several obstacle detection and avoidance for autonomous aircrafts. The objective o...

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Main Author: Soh, Alexius Matthias Sheng En
Other Authors: School of Computer Engineering
Format: Final Year Project
Language:English
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/10356/59201
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-592012023-03-03T20:29:53Z High performance computing systems for many-core processors Soh, Alexius Matthias Sheng En School of Computer Engineering He Bingsheng DRNTU::Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling Computer simulations can be used in different research fields. One of them is to perform real world obstacle detection and avoidance for unmanned vehicles. In addition, very little research has been done on simulating several obstacle detection and avoidance for autonomous aircrafts. The objective of this research is to determine if it is better to perform simulations on the GPU than on the CPU when there are multiple simulations to be performed at any one time. Four to ten unique obstacle layouts were used for the experiment. The simulations were executed sequentially, in multi-threaded approach and using the GPU. The experiment reveals that executing the simulations on the GPU proves to be time efficient as compared to the CPU while allowing more simulations to run in parallel. The result of this study shows that implementing the simulations to run the GPU in comparison to the CPU does allow for greater time efficiency. Bachelor of Engineering (Computer Engineering) 2014-04-25T04:54:15Z 2014-04-25T04:54:15Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/59201 en Nanyang Technological University 22 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling
Soh, Alexius Matthias Sheng En
High performance computing systems for many-core processors
description Computer simulations can be used in different research fields. One of them is to perform real world obstacle detection and avoidance for unmanned vehicles. In addition, very little research has been done on simulating several obstacle detection and avoidance for autonomous aircrafts. The objective of this research is to determine if it is better to perform simulations on the GPU than on the CPU when there are multiple simulations to be performed at any one time. Four to ten unique obstacle layouts were used for the experiment. The simulations were executed sequentially, in multi-threaded approach and using the GPU. The experiment reveals that executing the simulations on the GPU proves to be time efficient as compared to the CPU while allowing more simulations to run in parallel. The result of this study shows that implementing the simulations to run the GPU in comparison to the CPU does allow for greater time efficiency.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Soh, Alexius Matthias Sheng En
format Final Year Project
author Soh, Alexius Matthias Sheng En
author_sort Soh, Alexius Matthias Sheng En
title High performance computing systems for many-core processors
title_short High performance computing systems for many-core processors
title_full High performance computing systems for many-core processors
title_fullStr High performance computing systems for many-core processors
title_full_unstemmed High performance computing systems for many-core processors
title_sort high performance computing systems for many-core processors
publishDate 2014
url http://hdl.handle.net/10356/59201
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