Efficient grid based techniques for solving the weighted region least cost path problem on multicomputers

Approved for public release; distribution is unlimited === This thesis explores the possibilities of developing fast grid parallel algorithms to solve the Weighted Region Least Cost Path problem. Two complimentary steps have been undertaken. First, an efficient sequential algorithm to solve the ab...

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Main Author: Ekin, Cengiz
Other Authors: Zaky, Amr
Language:en_US
Published: Monterey, California. Naval Postgraduate School 2012
Online Access:http://hdl.handle.net/10945/23654
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spelling ndltd-nps.edu-oai-calhoun.nps.edu-10945-236542015-08-06T16:03:10Z Efficient grid based techniques for solving the weighted region least cost path problem on multicomputers Ekin, Cengiz Zaky, Amr Kwak, Sehung Naval Postgraduate School Department of Computer Science Approved for public release; distribution is unlimited This thesis explores the possibilities of developing fast grid parallel algorithms to solve the Weighted Region Least Cost Path problem. Two complimentary steps have been undertaken. First, an efficient sequential algorithm to solve the above problem was developed. the algorithm is a modification of a Gauss-Seidel-like algorithm for obtaining the minimum costs. The most salient feature of the algorithm is the reduction of the number of nodes and edges in cheaper regions of the grid. the reported experimental results ascertain the superiority of this algorithm with regard to computer running time at a modest reduction in the accuracy of the obtained solution. Parallel implementations of grid-based algorithms were studies. A simple grid-based variant was implemented on a network of Transputers. The overall approach is employed could be used to develop a parallel version of the above sequential algorithm on a Transputer network, combining both advantages of efficiency and parallelization. 2012-11-29T16:14:24Z 2012-11-29T16:14:24Z 1992-12 Thesis http://hdl.handle.net/10945/23654 en_US Copyright is reserved by the copyright owner. Monterey, California. Naval Postgraduate School
collection NDLTD
language en_US
sources NDLTD
description Approved for public release; distribution is unlimited === This thesis explores the possibilities of developing fast grid parallel algorithms to solve the Weighted Region Least Cost Path problem. Two complimentary steps have been undertaken. First, an efficient sequential algorithm to solve the above problem was developed. the algorithm is a modification of a Gauss-Seidel-like algorithm for obtaining the minimum costs. The most salient feature of the algorithm is the reduction of the number of nodes and edges in cheaper regions of the grid. the reported experimental results ascertain the superiority of this algorithm with regard to computer running time at a modest reduction in the accuracy of the obtained solution. Parallel implementations of grid-based algorithms were studies. A simple grid-based variant was implemented on a network of Transputers. The overall approach is employed could be used to develop a parallel version of the above sequential algorithm on a Transputer network, combining both advantages of efficiency and parallelization.
author2 Zaky, Amr
author_facet Zaky, Amr
Ekin, Cengiz
author Ekin, Cengiz
spellingShingle Ekin, Cengiz
Efficient grid based techniques for solving the weighted region least cost path problem on multicomputers
author_sort Ekin, Cengiz
title Efficient grid based techniques for solving the weighted region least cost path problem on multicomputers
title_short Efficient grid based techniques for solving the weighted region least cost path problem on multicomputers
title_full Efficient grid based techniques for solving the weighted region least cost path problem on multicomputers
title_fullStr Efficient grid based techniques for solving the weighted region least cost path problem on multicomputers
title_full_unstemmed Efficient grid based techniques for solving the weighted region least cost path problem on multicomputers
title_sort efficient grid based techniques for solving the weighted region least cost path problem on multicomputers
publisher Monterey, California. Naval Postgraduate School
publishDate 2012
url http://hdl.handle.net/10945/23654
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