Early detection of breast cancer using wave elliptic equation with high performance computing
Breast cancer is the commonest female malignancy in Malaysia and all over the world. The incidence of breast cancer in Malaysia is estimated to be around 27 per 100,000 populations, with close to 3,000 new cases annually. The numerical solution is applied to solve a mathematical model in medicine fi...
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my.utm.85022020-02-29T13:43:26Z http://eprints.utm.my/id/eprint/8502/ Early detection of breast cancer using wave elliptic equation with high performance computing Alias, Norma Rosly, Nur Syazana Satam, Noriza A. Ghaffar, Zarith Safiza Islam, Md. Rajibul QA75 Electronic computers. Computer science QA Mathematics Breast cancer is the commonest female malignancy in Malaysia and all over the world. The incidence of breast cancer in Malaysia is estimated to be around 27 per 100,000 populations, with close to 3,000 new cases annually. The numerical solution is applied to solve a mathematical model in medicine field. The wave equation can be used as mathematical models in science and engineering fields especially for biological aspects of electromagnetic wave. This paper focuses on the implementation of parallel algorithm for the simulation of breast cancer tumor using two dimensional Helmholtz’s wave equation on a distributed parallel computer system (DPCS). The numerical finite-difference method is chosen as a platform for discretizing the wave equations. The mathematical model of Helmholtz’s model is used to visualize the growth of breast cancer. Parallel Virtual Machine (PVM) is emphasized as communication platform in parallel computer system. The performance of the parallel computing will be analyzed in terms of time execution, speed up, efficiency, effectiveness and temporal performance 2008-11-27 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/8502/1/Early_Detection_of_Breast_Cancer_Using_Wave_Elliptic_Equation_with_High_Performance_Computing.pdf Alias, Norma and Rosly, Nur Syazana and Satam, Noriza and A. Ghaffar, Zarith Safiza and Islam, Md. Rajibul (2008) Early detection of breast cancer using wave elliptic equation with high performance computing. In: 6th Student Conference on Research and Development (SCOReD 2008), 26-27 Nov 2008, UTM, Malaysia. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:100483 |
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QA75 Electronic computers. Computer science QA Mathematics Alias, Norma Rosly, Nur Syazana Satam, Noriza A. Ghaffar, Zarith Safiza Islam, Md. Rajibul Early detection of breast cancer using wave elliptic equation with high performance computing |
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Breast cancer is the commonest female malignancy in Malaysia and all over the world. The incidence of breast cancer in Malaysia is estimated to be around 27 per 100,000 populations, with close to 3,000 new cases annually. The numerical solution is applied to solve a mathematical model in medicine field. The wave equation can be used as mathematical models in science and engineering fields especially for biological aspects of electromagnetic wave. This paper focuses on the implementation of parallel algorithm for the simulation of breast cancer tumor using two dimensional Helmholtz’s wave equation on a distributed parallel computer system (DPCS). The numerical finite-difference method is chosen as a platform for discretizing the wave equations. The mathematical model of Helmholtz’s model is used to visualize the growth of breast cancer. Parallel Virtual Machine (PVM) is emphasized as communication platform in parallel computer system. The performance of the parallel computing will be analyzed in terms of time execution, speed up, efficiency, effectiveness and temporal performance |
format |
Conference or Workshop Item |
author |
Alias, Norma Rosly, Nur Syazana Satam, Noriza A. Ghaffar, Zarith Safiza Islam, Md. Rajibul |
author_facet |
Alias, Norma Rosly, Nur Syazana Satam, Noriza A. Ghaffar, Zarith Safiza Islam, Md. Rajibul |
author_sort |
Alias, Norma |
title |
Early detection of breast cancer using wave elliptic equation with high performance computing |
title_short |
Early detection of breast cancer using wave elliptic equation with high performance computing |
title_full |
Early detection of breast cancer using wave elliptic equation with high performance computing |
title_fullStr |
Early detection of breast cancer using wave elliptic equation with high performance computing |
title_full_unstemmed |
Early detection of breast cancer using wave elliptic equation with high performance computing |
title_sort |
early detection of breast cancer using wave elliptic equation with high performance computing |
publishDate |
2008 |
url |
http://eprints.utm.my/id/eprint/8502/1/Early_Detection_of_Breast_Cancer_Using_Wave_Elliptic_Equation_with_High_Performance_Computing.pdf http://eprints.utm.my/id/eprint/8502/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:100483 |
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1662754219108597760 |
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13.1944895 |