Comparison of Parallel Computing Methods for Fast Cone-Beam Reconstruction with Similar Optimization Strategies

Xiang Zhang; Bin Yan; Lei Li; Feng Zhang; Xiao Qi Xi; Xing Wei

doi:10.4028/www.scientific.net/AMM.519-520.85

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 519-520Comparison of Parallel Computing Methods for Fast...

Comparison of Parallel Computing Methods for Fast Cone-Beam Reconstruction with Similar Optimization Strategies

Abstract:

To investigate the performance of acceleration technologies for FDK algorithm, two of the most common high-performance computing hardware, multi-core CPU and GPU, are involved in our experiment. Both runtime and accuracy are regarded as the standards to evaluate the performance of four different programming methods: OpenMP, GLSL, CUDA and OpenCL. All the methods are estimated with comparable optimization strategies. The experimental results show that GPU has higher efficiency than multi-core CPU for fast cone-beam reconstruction, meanwhile CUDA is the best choice for programming on the multi-processor featured GPU.

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Periodical:

Applied Mechanics and Materials (Volumes 519-520)

Pages:

85-89

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.519-520.85

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Online since:

February 2014

Authors:

Xiang Zhang, Bin Yan*, Lei Li, Feng Zhang, Xiao Qi Xi, Xing Wei

Keywords:

FDK Algorithm, GPU, Multi-Core CPU, Parallel Computing

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* - Corresponding Author

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