GPU Accelerated Reconstruction in Compton Scattering Tomography Using Matrix Compression
2014 ◽
Vol 519-520
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pp. 102-107
Keyword(s):
An acceleration strategy for TV-ADM reconstruction algorithm in Compton scattering tomography (CST) is proposed. By analyzing the sparse characteristic of CST projection matrixes, firstly, the sparse matrix vector CSR format and ELL format are used to store them, which greatly reduce the memory consumption. Then, a Sparse Matrix Vector multiplication (SpMV) method is utilized to accelerate the projector and back projector process. Finally, based on the parallel features, the TV-ADM is computed with Graphics Processing Unit (GPU). Numerical experiments show that the TV-ADM with the presented acceleration strategy could achieve a 96 times speedup ratio and 224 times memory compression ratio without precision loss.
2015 ◽
Vol 102
(12)
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pp. 1784-1814
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2012 ◽
Vol 25
(4)
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pp. 586-603
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2016 ◽
Vol 29
(5)
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pp. e3936
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2013 ◽
Vol 61
(4)
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pp. 949-954
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2014 ◽
Vol 2014
◽
pp. 1-8
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