Parallel computing using GPU for efficient traffic simulation
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2013.
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10361-27492022-01-26T10:10:33Z Parallel computing using GPU for efficient traffic simulation Ahmed, Sadat Sakif Rahman, Md. Zahidur Department of Computer Science and Engineering, BRAC University Computer science and engineering This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2013. Cataloged from PDF version of thesis report. Includes bibliographical references (page 24). Parallel Computing can be made possible using the multiple cores of the Graphics Processing Unit (GPU) thanks to the modern programmable GPU models. This allows the use of parallel computing techniques to improve upon the computation time of large scale traffic simulations. This paper proposes the use of a multi-processor algorithm for creating efficient traffic simulation software. The method in consideration achieves this by separating the road network into regions which are individually computed as a threaded block inside the GPU and merged together using the Central Processing Unit to provide the final data of the simulation. A significant improvement in the computation time is observed when the proposed parallelization techniques are applied to the simulator. Sadat Sakif Ahmed B. Computer Science and Engineering 2013-10-01T08:53:55Z 2013-10-01T08:53:55Z 2013 2013 Thesis ID 12241010 http://hdl.handle.net/10361/2749 en BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 24 pages application/pdf BRAC University |
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Brac University |
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Institutional Repository |
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English |
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Computer science and engineering |
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Computer science and engineering Ahmed, Sadat Sakif Parallel computing using GPU for efficient traffic simulation |
description |
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2013. |
author2 |
Rahman, Md. Zahidur |
author_facet |
Rahman, Md. Zahidur Ahmed, Sadat Sakif |
format |
Thesis |
author |
Ahmed, Sadat Sakif |
author_sort |
Ahmed, Sadat Sakif |
title |
Parallel computing using GPU for efficient traffic simulation |
title_short |
Parallel computing using GPU for efficient traffic simulation |
title_full |
Parallel computing using GPU for efficient traffic simulation |
title_fullStr |
Parallel computing using GPU for efficient traffic simulation |
title_full_unstemmed |
Parallel computing using GPU for efficient traffic simulation |
title_sort |
parallel computing using gpu for efficient traffic simulation |
publisher |
BRAC University |
publishDate |
2013 |
url |
http://hdl.handle.net/10361/2749 |
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AT ahmedsadatsakif parallelcomputingusinggpuforefficienttrafficsimulation |
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