Esfahani, Sahar Soheilian and Zhai, Xiaojun and Chen, Minsi and Amira, Abbes and Bensaali, Faycal and AbiNahed, Julien and Dakua, Sarada and Younes, Georges and Richardson, Robin A and Coveney, Peter V (2019) HEMELB Acceleration and Visualization for Cerebral Aneurysms. In: The 26th IEEE International Conference on Image Processing, 2019-09-22 - 2019-09-25, Taipei, Taiwan. (In Press)
Esfahani, Sahar Soheilian and Zhai, Xiaojun and Chen, Minsi and Amira, Abbes and Bensaali, Faycal and AbiNahed, Julien and Dakua, Sarada and Younes, Georges and Richardson, Robin A and Coveney, Peter V (2019) HEMELB Acceleration and Visualization for Cerebral Aneurysms. In: The 26th IEEE International Conference on Image Processing, 2019-09-22 - 2019-09-25, Taipei, Taiwan. (In Press)
Esfahani, Sahar Soheilian and Zhai, Xiaojun and Chen, Minsi and Amira, Abbes and Bensaali, Faycal and AbiNahed, Julien and Dakua, Sarada and Younes, Georges and Richardson, Robin A and Coveney, Peter V (2019) HEMELB Acceleration and Visualization for Cerebral Aneurysms. In: The 26th IEEE International Conference on Image Processing, 2019-09-22 - 2019-09-25, Taipei, Taiwan. (In Press)
Abstract
A weakness in the wall of a cerebral artery causing a dilation or ballooning of the blood vessel is known as a cerebral aneurysm. Optimal treatment requires fast and accurate diagnosis of the aneurysm. HemeLB is a fluid dynamics solver for complex geometries developed to provide neurosurgeons with information related to the flow of blood in and around aneurysms. On a cost efficient platform, HemeLB could be employed in hospitals to provide surgeons with the simulation results in real-time. In this work, we developed an improved version of HemeLB for GPU implementation and result visualization. A visualization platform for smooth interaction with end users is also presented. Finally, a comprehensive evaluation of this implementation is reported. The results demonstrate that the proposed implementation achieves a maximum performance of 15,168,964 site updates per second, and is capable of speeding up HemeLB for deployment in hospitals and clinical investigations.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Published proceedings: _not provided_ |
Uncontrolled Keywords: | physics.comp-ph; cs.CV; cs.GR |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 09 Jul 2019 09:46 |
Last Modified: | 30 Oct 2024 22:48 |
URI: | http://repository.essex.ac.uk/id/eprint/24952 |
Available files
Filename: 1906.11925v1.pdf