Tumor growth prediction using parallel computing: numerical solutions based on multi-dimensional partial differential equation (PDE)
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 monito...
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| Format: | Book |
| Language: | English English |
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LAP LAMBERT Academic Publishing
2010
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| Online Access: | http://eprints.utm.my/10148/1/Cover02.pdf http://eprints.utm.my/10148/3/index.php_id%3D3435%26objk_id%3D387552 |
| _version_ | 1825910440471822336 |
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| author | Alias, Norma Islam, Md. Rajibul |
| author_facet | Alias, Norma Islam, Md. Rajibul |
| author_sort | Alias, Norma |
| collection | ePrints |
| description | 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. |
| first_indexed | 2024-03-05T18:17:08Z |
| format | Book |
| id | utm.eprints-10148 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English English |
| last_indexed | 2024-03-05T18:17:08Z |
| publishDate | 2010 |
| publisher | LAP LAMBERT Academic Publishing |
| record_format | dspace |
| spelling | utm.eprints-101482014-04-13T09:01:14Z http://eprints.utm.my/10148/ Tumor growth prediction using parallel computing: numerical solutions based on multi-dimensional partial differential equation (PDE) Alias, Norma Islam, Md. Rajibul Q Science (General) QA75 Electronic computers. Computer science 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. LAP LAMBERT Academic Publishing 2010-08-26 Book PeerReviewed application/pdf en http://eprints.utm.my/10148/1/Cover02.pdf text/html en http://eprints.utm.my/10148/3/index.php_id%3D3435%26objk_id%3D387552 Alias, Norma and Islam, Md. Rajibul (2010) Tumor growth prediction using parallel computing: numerical solutions based on multi-dimensional partial differential equation (PDE). LAP LAMBERT Academic Publishing, Germany. ISBN 978-3-8383-9699-6 http://www.amazon.com/Tumor-Growth-Prediction-Parallel-Computing/dp/3838396995/ref=sr_1_2?s=books&ie=UTF8&qid=1283576448&sr=1-2 |
| spellingShingle | Q Science (General) QA75 Electronic computers. Computer science Alias, Norma Islam, Md. Rajibul Tumor growth prediction using parallel computing: numerical solutions based on multi-dimensional partial differential equation (PDE) |
| title | Tumor growth prediction using parallel computing: numerical solutions based on multi-dimensional partial differential equation (PDE) |
| title_full | Tumor growth prediction using parallel computing: numerical solutions based on multi-dimensional partial differential equation (PDE) |
| title_fullStr | Tumor growth prediction using parallel computing: numerical solutions based on multi-dimensional partial differential equation (PDE) |
| title_full_unstemmed | Tumor growth prediction using parallel computing: numerical solutions based on multi-dimensional partial differential equation (PDE) |
| title_short | Tumor growth prediction using parallel computing: numerical solutions based on multi-dimensional partial differential equation (PDE) |
| title_sort | tumor growth prediction using parallel computing numerical solutions based on multi dimensional partial differential equation pde |
| topic | Q Science (General) QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/10148/1/Cover02.pdf http://eprints.utm.my/10148/3/index.php_id%3D3435%26objk_id%3D387552 |
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