A Review on Parallel Medical Image Processing on GPU
An efficient implementation are necessary, as most medical imaging methods are computational expensive, and the amount of medical imaging data is growing .Graphic processing units (GPUs) can solve large data parallel problems at a higher speed than the traditional CPU, while being more affordab...
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ump-106622018-05-21T06:14:42Z http://umpir.ump.edu.my/id/eprint/10662/ A Review on Parallel Medical Image Processing on GPU Khor, Hui Liang Liew, Siau-Chuin Jasni, Mohamad Zain Q Science (General) QA76 Computer software An efficient implementation are necessary, as most medical imaging methods are computational expensive, and the amount of medical imaging data is growing .Graphic processing units (GPUs) can solve large data parallel problems at a higher speed than the traditional CPU, while being more affordable and energy efficient than distributed systems. This review investigates the use of GPUs to accelerate medical imaging methods. A set of criteria for efficient use of GPUs are defined. The review concludes that most medical image processing methods may benefit from GPU processing due to the methods’ data parallel structure and high thread count. However, factors such as synchronization, branch divergence and memory usage can limit the speedup. IEEE 2015-08 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/10662/1/1570174065.pdf Khor, Hui Liang and Liew, Siau-Chuin and Jasni, Mohamad Zain (2015) A Review on Parallel Medical Image Processing on GPU. In: IEEE 4th International Conference on Software Engineering and Computer Systems, 19-21 August 2015 , Kuantan, Pahang, Malaysia. pp. 45-48.. ISBN 978-1-4673-6722-6 http://dx.doi.org/10.1109/ICSECS.2015.7333121 |
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Digital Repository |
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Local University |
institution |
Universiti Malaysia Pahang |
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UMP Institutional Repository |
collection |
Online Access |
language |
English |
topic |
Q Science (General) QA76 Computer software |
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Q Science (General) QA76 Computer software Khor, Hui Liang Liew, Siau-Chuin Jasni, Mohamad Zain A Review on Parallel Medical Image Processing on GPU |
description |
An efficient implementation are necessary, as
most medical imaging methods are computational expensive,
and the amount of medical imaging data is growing .Graphic
processing units (GPUs) can solve large data parallel
problems at a higher speed than the traditional CPU, while
being more affordable and energy efficient than distributed
systems. This review investigates the use of GPUs to
accelerate medical imaging methods. A set of criteria for
efficient use of GPUs are defined. The review concludes that
most medical image processing methods may benefit from
GPU processing due to the methods’ data parallel structure
and high thread count. However, factors such as
synchronization, branch divergence and memory usage can
limit the speedup. |
format |
Conference or Workshop Item |
author |
Khor, Hui Liang Liew, Siau-Chuin Jasni, Mohamad Zain |
author_facet |
Khor, Hui Liang Liew, Siau-Chuin Jasni, Mohamad Zain |
author_sort |
Khor, Hui Liang |
title |
A Review on Parallel Medical Image Processing on GPU |
title_short |
A Review on Parallel Medical Image Processing on GPU |
title_full |
A Review on Parallel Medical Image Processing on GPU |
title_fullStr |
A Review on Parallel Medical Image Processing on GPU |
title_full_unstemmed |
A Review on Parallel Medical Image Processing on GPU |
title_sort |
review on parallel medical image processing on gpu |
publisher |
IEEE |
publishDate |
2015 |
url |
http://umpir.ump.edu.my/id/eprint/10662/ http://umpir.ump.edu.my/id/eprint/10662/ http://umpir.ump.edu.my/id/eprint/10662/1/1570174065.pdf |
first_indexed |
2023-09-18T22:10:31Z |
last_indexed |
2023-09-18T22:10:31Z |
_version_ |
1777414995879919616 |