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
Link To Document :
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