Universiti Teknologi Malaysia Institutional Repository

High performance visualization of human tumor growth software

Alias, Norma and Mohd. Said, Norfarizan and Khalid, Siti Nur Hidayah and Sin, Dolly Tien Ching and Phang, Tau Ing (2008) High performance visualization of human tumor growth software. In: VECPAR '08 - 8th Intern. Meeting High Performance Computing for Computational Science , 24-27 June 2008, France.


Official URL: http://vecpar.fe.up.pt/2008/papers/52.pdf


This paper focused on the implementation of parallel algorithm for the simulation of human tumor growth.The research emphasised on the grand challenge application of breast and brain tumors growth. Based on the present knowledge of the properties of tumors, some mathematical models have been developed by researchers to quantify the proliferation and invasion dynamics of tumors within anatomically accurate heterogeneous human tissue. This paper focuses on the implementation of parallel algorithm for the simulation of hyperbolic equation for breast pressure and parabolic equation of brain tumors growth. The platform for high performance computing of the parallel algorithms run on a distributed parallel computer system. The numerical finite-difference method is focused to design the discreatization of these partial differential equations. The result of finite difference approximation (explicit, Crank-Nicolson and fully implicit methods) will be presented graphically. The implementation of parallel algorithm based on parallel computing system is used to visualize the growth of human 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.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:keywords-human tumor, parallel algorithm
Subjects:Q Science > QA Mathematics > QA76 Computer software
ID Code:6420
Deposited By: Dr Siew Ling Lee
Deposited On:08 Oct 2008 04:30
Last Modified:07 Sep 2017 03:26

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