An Application Developed for Simulation of Electrical Excitation and Conduction in a 3D Human Heart
This thesis first reviews the history of General Purpose computing Graphic Processing Unit (GPGPU) and then introduces the fundamental problems that are suitable for GPGPU algorithm. The architecture of GPGPU is compared against modern CPU architecture, and the fundamental difference is outlined....
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ndltd-USF-oai-scholarcommons.usf.edu-etd-58172015-09-30T04:42:51Z An Application Developed for Simulation of Electrical Excitation and Conduction in a 3D Human Heart Yu, Di This thesis first reviews the history of General Purpose computing Graphic Processing Unit (GPGPU) and then introduces the fundamental problems that are suitable for GPGPU algorithm. The architecture of GPGPU is compared against modern CPU architecture, and the fundamental difference is outlined. The programming challenges faced by GPGPU and the techniques utilized to overcome these issues are evaluated and discussed. The second part of the thesis presents an application developed with GPGPU technology to simulate the electrical excitation and conduction in a 3D human heart model based on cellular automata model. The algorithm and implementation are discussed in detail and the performance of GPU is compared against CPU. 2013-01-01T08:00:00Z text application/pdf http://scholarcommons.usf.edu/etd/4620 http://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=5817&context=etd default Graduate Theses and Dissertations Scholar Commons Cellular Automata CUDA GPGPU Parallel Algorithm SIMD Computer Sciences |
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Cellular Automata CUDA GPGPU Parallel Algorithm SIMD Computer Sciences |
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Cellular Automata CUDA GPGPU Parallel Algorithm SIMD Computer Sciences Yu, Di An Application Developed for Simulation of Electrical Excitation and Conduction in a 3D Human Heart |
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This thesis first reviews the history of General Purpose computing Graphic Processing Unit (GPGPU) and then introduces the fundamental problems that are suitable for GPGPU algorithm. The architecture of GPGPU is compared against modern CPU architecture, and the fundamental difference is outlined. The programming challenges faced by GPGPU and the techniques utilized to overcome these issues are evaluated and discussed.
The second part of the thesis presents an application developed with GPGPU technology to simulate the electrical excitation and conduction in a 3D human heart model based on cellular automata model. The algorithm and implementation are discussed in detail and the performance of GPU is compared against CPU. |
author |
Yu, Di |
author_facet |
Yu, Di |
author_sort |
Yu, Di |
title |
An Application Developed for Simulation of Electrical Excitation and Conduction in a 3D Human Heart |
title_short |
An Application Developed for Simulation of Electrical Excitation and Conduction in a 3D Human Heart |
title_full |
An Application Developed for Simulation of Electrical Excitation and Conduction in a 3D Human Heart |
title_fullStr |
An Application Developed for Simulation of Electrical Excitation and Conduction in a 3D Human Heart |
title_full_unstemmed |
An Application Developed for Simulation of Electrical Excitation and Conduction in a 3D Human Heart |
title_sort |
application developed for simulation of electrical excitation and conduction in a 3d human heart |
publisher |
Scholar Commons |
publishDate |
2013 |
url |
http://scholarcommons.usf.edu/etd/4620 http://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=5817&context=etd |
work_keys_str_mv |
AT yudi anapplicationdevelopedforsimulationofelectricalexcitationandconductionina3dhumanheart AT yudi applicationdevelopedforsimulationofelectricalexcitationandconductionina3dhumanheart |
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