Citation

Alias, Norma and Islam, Md. Rajibul and Shahir, Rosdiana and Hamzah, Norhafizah and Satam, Noriza and Safiza, Zarith and Darwis, Roziha and Ludin, Eliana and Azami, Masrin (2010) Parallel System for Abnormal Cell Growth Prediction based on Fast Numerical Simulation. In: The 2nd Russia-Taiwan Symposium on Methods and Tools of Parallel Programming Multicomputers (MTPP 2010), 16-19 May 2010, Vladivostok, Russia.

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Abstract

The paper focuses on a numerical method for detecting, visualizing and monitoring abnormal cell growth using large-scale mathematical simulations. The discretization of multi-dimensional partial differential equation (PDE) is based on finite difference method. The predictor system depending on users input data via a user interface, generating the initial and boundary condition generated from parabolic or elliptic type of PDE. The processing large sparse matrixes are based on multiprocessor computer systems for abnormal growth visualization. The multi-dimensional abnormal cell has produced the numerical analysis and understanding results at the target area for the potential improvement of detection and monitoring the growth. The development of the prediction system is the combinations of the parallel algorithms, open source software on Linux environment and distributed multiprocessor system. The paper ends with a concluding remark on the parallel performance evaluations and numerical analysis in reducing the execution time, communication cost and computational complexity.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Q Science > Q Science (General) Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Users 28 not found.
Date Deposited:	27 Sep 2010 07:41
Last Modified:	27 Sep 2010 07:41
URII:	http://shdl.mmu.edu.my/id/eprint/1717

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