High performance simulation for brain tumours growth using parabolic equation on heterogeneous parallel computer system

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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Main Authors:	Pheng H. S., Norma Alias, Norfarizan Mohd Said
Format:	Article
Language:	English
Published:	Penerbit UKM 2007
Online Access:	http://journalarticle.ukm.my/5041/ http://journalarticle.ukm.my/5041/ http://journalarticle.ukm.my/5041/1/2.pdf

id	ukm-5041
recordtype	eprints
spelling	ukm-50412016-12-14T06:37:37Z http://journalarticle.ukm.my/5041/ High performance simulation for brain tumours growth using parabolic equation on heterogeneous parallel computer system Pheng H. S., Norma Alias, Norfarizan Mohd Said, 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. Penerbit UKM 2007 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/5041/1/2.pdf Pheng H. S., and Norma Alias, and Norfarizan Mohd Said, (2007) High performance simulation for brain tumours growth using parabolic equation on heterogeneous parallel computer system. Jurnal Teknologi Maklumat dan Multimedia, 4 . pp. 39-52. ISSN 1823-0113 http://www.ukm.my/jitm/vol4_2007_39-52.html
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
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.
format	Article
author	Pheng H. S., Norma Alias, Norfarizan Mohd Said,
spellingShingle	Pheng H. S., Norma Alias, Norfarizan Mohd Said, High performance simulation for brain tumours growth using parabolic equation on heterogeneous parallel computer system
author_facet	Pheng H. S., Norma Alias, Norfarizan Mohd Said,
author_sort	Pheng H. S.,
title	High performance simulation for brain tumours growth using parabolic equation on heterogeneous parallel computer system
title_short	High performance simulation for brain tumours growth using parabolic equation on heterogeneous parallel computer system
title_full	High performance simulation for brain tumours growth using parabolic equation on heterogeneous parallel computer system
title_fullStr	High performance simulation for brain tumours growth using parabolic equation on heterogeneous parallel computer system
title_full_unstemmed	High performance simulation for brain tumours growth using parabolic equation on heterogeneous parallel computer system
title_sort	high performance simulation for brain tumours growth using parabolic equation on heterogeneous parallel computer system
publisher	Penerbit UKM
publishDate	2007
url	http://journalarticle.ukm.my/5041/ http://journalarticle.ukm.my/5041/ http://journalarticle.ukm.my/5041/1/2.pdf
first_indexed	2023-09-18T19:43:12Z
last_indexed	2023-09-18T19:43:12Z
_version_	1777405727854297088

High performance simulation for brain tumours growth using parabolic equation on heterogeneous parallel computer system

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