DocumentCode
2549727
Title
High performance parallel backprojection on multi-GPU
Author
Zhang, Hanming ; Yan, Bin ; Lu, Lizhong ; Li, Lei ; Liu, Yongjun
Author_Institution
China Nat. Digital Switching Syst. Eng. & Technol. Res. Center, Zhengzhou, China
fYear
2012
fDate
29-31 May 2012
Firstpage
2693
Lastpage
2696
Abstract
The speed of image reconstruction is an important indicator of the three-dimensional Computed Tomography (CT) imaging systems. GPU has become a focus of the research in CT reconstruction due to its characteristic of parallel computing. In this paper, the acceleration of backprojection, which is the most time consuming step of reconstruction, was implemented on multi-GPU hardware and OpenCL platform. The optimization techniques of parallelization strategy and memory management were explored and studied. The experimental results showed that the method obtained a considerable speedup, and the calculation times of total backprojection using 2 GPUs that were 1.67 times faster than using a single GPU. The method may be taken as the useful reference for researchers working on GPU applications and high-performance applications.
Keywords
computerised tomography; graphics processing units; image reconstruction; optimisation; parallel processing; OpenCL platform; high performance parallel backprojection; image reconstruction; memory management; multiGPU; optimization techniques; parallel computing; parallelization strategy; three-dimensional computed tomography imaging systems; Acceleration; Computed tomography; Graphics processing unit; Hardware; Image reconstruction; Kernel; Parallel processing; CT; OpenCL; image reconstruction; multi-GPU; parallel computing;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location
Sichuan
Print_ISBN
978-1-4673-0025-4
Type
conf
DOI
10.1109/FSKD.2012.6234177
Filename
6234177
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