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Tumor Growth Prediction Using Parallel Computing: Numerical Solutions based on Multi-dimensional Partial Differential Equation (PDE) - Softcover
Inhaltsangabe
The parallel algorithm for the simulation of human tumor growth is a new invention at the present time. The tumor cells split too often, without any order and drop the ability to control their growths. In this book, the invention of the early detection of brain tumors growth is presented. The monitoring and visualization of tumor cells growth are based on the large scale mathematical simulation. The tools of partial different equations via multi-dimensional parabolic types are emphases as the computational engine for the future prediction of the cell growth. This study focuses on the implementation of parallel algorithm for the simulation of tumor growth using two dimensional Helmholtz's wave equation on a distributed parallel computing system. The numerical finite-difference method is chosen as a platform for discretizating the wave equations. Parallel Virtual Machine (PVM) software is emphasized as communication platform in parallel computer system. The performance of the parallel computing is analyzed. This proposed system will reduce the painful situation of regular diagnosis to the brain tumor patients in early detection stage.
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Reseña del editor
The parallel algorithm for the simulation of human tumor growth is a new invention at the present time. The tumor cells split too often, without any order and drop the ability to control their growths. In this book, the invention of the early detection of brain tumors growth is presented. The monitoring and visualization of tumor cells growth are based on the large scale mathematical simulation. The tools of partial different equations via multi-dimensional parabolic types are emphases as the computational engine for the future prediction of the cell growth. This study focuses on the implementation of parallel algorithm for the simulation of tumor growth using two dimensional Helmholtz's wave equation on a distributed parallel computing system. The numerical finite-difference method is chosen as a platform for discretizating the wave equations. Parallel Virtual Machine (PVM) software is emphasized as communication platform in parallel computer system. The performance of the parallel computing is analyzed. This proposed system will reduce the painful situation of regular diagnosis to the brain tumor patients in early detection stage.
Biografía del autor
Norma Alias, PhD: Studied Industrial Computing at National University of Malaysia. Senior Lecturer at Ibnu Sina Institute, UTM, Malaysia. Md. Rajibul Islam, M.Sc (by Research): Studied IT at Multimedia University, Malaysia. Research Assistant (RA) at Ibnu Sina Institute, UTM, Malaysia.
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- VerlagLAP LAMBERT Academic Publishing
- Erscheinungsdatum2010
- ISBN 10 3838396995
- ISBN 13 9783838396996
- EinbandTapa blanda
- SpracheEnglisch
- Anzahl der Seiten172
- Kontakt zum HerstellerNicht verfügbar
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Tumor Growth Prediction Using Parallel Computing
Verlag:
LAP LAMBERT Academic Publishing Aug 2010, 2010
ISBN 10: 3838396995
ISBN 13: 9783838396996
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Taschenbuch. Zustand: Neu. Neuware -The parallel algorithm for the simulation of human tumor growth is a new invention at the present time. The tumor cells split too often, without any order and drop the ability to control their growths. In this book, the invention of the early detection of brain tumors growth is presented. The monitoring and visualization of tumor cells growth are based on the large scale mathematical simulation. The tools of partial different equations via multi-dimensional parabolic types are emphases as the computational engine for the future prediction of the cell growth. This study focuses on the implementation of parallel algorithm for the simulation of tumor growth using two dimensional Helmholtz''s wave equation on a distributed parallel computing system. The numerical finite-difference method is chosen as a platform for discretizating the wave equations. Parallel Virtual Machine (PVM) software is emphasized as communication platform in parallel computer system. The performance of the parallel computing is analyzed. This proposed system will reduce the painful situation of regular diagnosis to the brain tumor patients in early detection stage.Books on Demand GmbH, Überseering 33, 22297 Hamburg 172 pp. Englisch. Artikel-Nr. 9783838396996
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