Wave equation for early detection of breast cancer growth using MATLAB Distributed Computing

The algorithm for calculating the wave equation of growing breast cancerous cells [1, 2] is parallelized based on the MATLAB Distributed Computing technique [3]. The parallelized algorithm is analyzed by examining its performance and communication overhead. The model involves the solution of a numbe...

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Main Authors: Alias, Norma, Che Abd Ghani, Asnida, Saipan@Saipol, Hafizah Farhah, Ramli, Nurelya, Muhd. Palil, Siti Qatrunada
Format: Conference or Workshop Item
Language:English
Published: 2012
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Online Access:http://eprints.utm.my/id/eprint/26335/1/Wave%20equation%20for%20early%20detection%20of%20breast%20cancer%20growth%20using%20MATLAB%20Distributed%20Computing.pdf
http://eprints.utm.my/id/eprint/26335/
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spelling my.utm.263352014-04-13T08:52:22Z http://eprints.utm.my/id/eprint/26335/ Wave equation for early detection of breast cancer growth using MATLAB Distributed Computing Alias, Norma Che Abd Ghani, Asnida Saipan@Saipol, Hafizah Farhah Ramli, Nurelya Muhd. Palil, Siti Qatrunada QA Mathematics The algorithm for calculating the wave equation of growing breast cancerous cells [1, 2] is parallelized based on the MATLAB Distributed Computing technique [3]. The parallelized algorithm is analyzed by examining its performance and communication overhead. The model involves the solution of a number of mathematical modeling to calculate the growth on the early stage, the most investigate breast cancer cell line. Towards overcome the limitation to the real time solution, several domain decomposition methods will be utilized to divide the system of equation into smaller sub domain. The mathematical model is imploded for the parallel algorithm of these systems of equations. The development of parallel computation scheme is the main focus technique for speedup optimization. MATLAB Distributed Computing is emphasized as communication open source software on distributed parallel computing system and results in a performance will obtain. © 2012 IEEE. 2012-01 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/26335/1/Wave%20equation%20for%20early%20detection%20of%20breast%20cancer%20growth%20using%20MATLAB%20Distributed%20Computing.pdf Alias, Norma and Che Abd Ghani, Asnida and Saipan@Saipol, Hafizah Farhah and Ramli, Nurelya and Muhd. Palil, Siti Qatrunada (2012) Wave equation for early detection of breast cancer growth using MATLAB Distributed Computing. In: International Conference on Enabling Science and Nanotechnology 2012 (ESciNano 2012), 5-7 January 2012, Persada Johor International Convention Center, Johor Bahru, MALAYSIA. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:67865
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA Mathematics
spellingShingle QA Mathematics
Alias, Norma
Che Abd Ghani, Asnida
Saipan@Saipol, Hafizah Farhah
Ramli, Nurelya
Muhd. Palil, Siti Qatrunada
Wave equation for early detection of breast cancer growth using MATLAB Distributed Computing
description The algorithm for calculating the wave equation of growing breast cancerous cells [1, 2] is parallelized based on the MATLAB Distributed Computing technique [3]. The parallelized algorithm is analyzed by examining its performance and communication overhead. The model involves the solution of a number of mathematical modeling to calculate the growth on the early stage, the most investigate breast cancer cell line. Towards overcome the limitation to the real time solution, several domain decomposition methods will be utilized to divide the system of equation into smaller sub domain. The mathematical model is imploded for the parallel algorithm of these systems of equations. The development of parallel computation scheme is the main focus technique for speedup optimization. MATLAB Distributed Computing is emphasized as communication open source software on distributed parallel computing system and results in a performance will obtain. © 2012 IEEE.
format Conference or Workshop Item
author Alias, Norma
Che Abd Ghani, Asnida
Saipan@Saipol, Hafizah Farhah
Ramli, Nurelya
Muhd. Palil, Siti Qatrunada
author_facet Alias, Norma
Che Abd Ghani, Asnida
Saipan@Saipol, Hafizah Farhah
Ramli, Nurelya
Muhd. Palil, Siti Qatrunada
author_sort Alias, Norma
title Wave equation for early detection of breast cancer growth using MATLAB Distributed Computing
title_short Wave equation for early detection of breast cancer growth using MATLAB Distributed Computing
title_full Wave equation for early detection of breast cancer growth using MATLAB Distributed Computing
title_fullStr Wave equation for early detection of breast cancer growth using MATLAB Distributed Computing
title_full_unstemmed Wave equation for early detection of breast cancer growth using MATLAB Distributed Computing
title_sort wave equation for early detection of breast cancer growth using matlab distributed computing
publishDate 2012
url http://eprints.utm.my/id/eprint/26335/1/Wave%20equation%20for%20early%20detection%20of%20breast%20cancer%20growth%20using%20MATLAB%20Distributed%20Computing.pdf
http://eprints.utm.my/id/eprint/26335/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:67865
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score 13.211869