High performance simulation for brain tumors growth using parabolic equation on heterogeneous parallel computer systems
Brain tumour is one of the prevalent cancers in the world that lead to death. Based on the present knowledge of the properties of gliomas, mathematical models has been developed by researchers to quantify the proliferation and invasion dynamics of glioma within anatomically accurate heterogeneous br...
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| Format: | Article |
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Universiti Kebangsaan Malaysia
2007
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| _version_ | 1825910206336335872 |
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| author | Pheng, H. S. Alias, Norma Mohd. Said, Norfarizan |
| author_facet | Pheng, H. S. Alias, Norma Mohd. Said, Norfarizan |
| author_sort | Pheng, H. S. |
| collection | ePrints |
| description | Brain tumour is one of the prevalent cancers in the world that lead to death. Based on the present knowledge of the properties of gliomas, mathematical models has been developed by researchers to quantify the proliferation and invasion dynamics of glioma within anatomically accurate heterogeneous brain tissue. This paper focuses on the implementation of parallel algorithm for the simulation of brain tumours growth using one dimensional parabolic equation, design on a distributed parallel computer system. The numerical finite-difference method is focused on a design of a platform for discretizing the parabolic equations. The result of finite difference approximation using explicit, Crank-Nicolson and fully implicit methods will be presented graphically. The implementation of parallel algorithm based on parallel computing system is used to capture the growth of brain tumour. Parallel Virtual Machine (PVM) is emphasized as communication platform in parallel computer systems. The software system functions to enable a collection of heterogeneous computers to be used as synchronize and flexible concurrent computational resource. The parallel performance measurement will be analyzed from the aspect of speedup, efficiency, effectiveness and temporal performance |
| first_indexed | 2024-03-05T18:13:38Z |
| format | Article |
| id | utm.eprints-8498 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T18:13:38Z |
| publishDate | 2007 |
| publisher | Universiti Kebangsaan Malaysia |
| record_format | dspace |
| spelling | utm.eprints-84982017-10-23T07:45:51Z http://eprints.utm.my/8498/ High performance simulation for brain tumors growth using parabolic equation on heterogeneous parallel computer systems Pheng, H. S. Alias, Norma Mohd. Said, Norfarizan QA75 Electronic computers. Computer science QA Mathematics Brain tumour is one of the prevalent cancers in the world that lead to death. Based on the present knowledge of the properties of gliomas, mathematical models has been developed by researchers to quantify the proliferation and invasion dynamics of glioma within anatomically accurate heterogeneous brain tissue. This paper focuses on the implementation of parallel algorithm for the simulation of brain tumours growth using one dimensional parabolic equation, design on a distributed parallel computer system. The numerical finite-difference method is focused on a design of a platform for discretizing the parabolic equations. The result of finite difference approximation using explicit, Crank-Nicolson and fully implicit methods will be presented graphically. The implementation of parallel algorithm based on parallel computing system is used to capture the growth of brain tumour. Parallel Virtual Machine (PVM) is emphasized as communication platform in parallel computer systems. The software system functions to enable a collection of heterogeneous computers to be used as synchronize and flexible concurrent computational resource. The parallel performance measurement will be analyzed from the aspect of speedup, efficiency, effectiveness and temporal performance Universiti Kebangsaan Malaysia 2007 Article PeerReviewed Pheng, H. S. and Alias, Norma and Mohd. Said, Norfarizan (2007) High performance simulation for brain tumors growth using parabolic equation on heterogeneous parallel computer systems. Journal of Information Technology & Multimedia, 4 . pp. 39-52. ISSN 1823-0113 http://ejournal.ukm.my/apjitm/article/view/1272 |
| spellingShingle | QA75 Electronic computers. Computer science QA Mathematics Pheng, H. S. Alias, Norma Mohd. Said, Norfarizan High performance simulation for brain tumors growth using parabolic equation on heterogeneous parallel computer systems |
| title | High performance simulation for brain tumors growth using parabolic equation on heterogeneous parallel computer systems |
| title_full | High performance simulation for brain tumors growth using parabolic equation on heterogeneous parallel computer systems |
| title_fullStr | High performance simulation for brain tumors growth using parabolic equation on heterogeneous parallel computer systems |
| title_full_unstemmed | High performance simulation for brain tumors growth using parabolic equation on heterogeneous parallel computer systems |
| title_short | High performance simulation for brain tumors growth using parabolic equation on heterogeneous parallel computer systems |
| title_sort | high performance simulation for brain tumors growth using parabolic equation on heterogeneous parallel computer systems |
| topic | QA75 Electronic computers. Computer science QA Mathematics |
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