Lei Dechuan, Chen Hao, Wang Yuan, et al. Accelerating simultaneous algebraic reconstruction technique by multi CUDA-enabled GPU[J]. High Power Laser and Particle Beams, 2013, 25: 2418-2422. doi: 10.3788/HPLPB20132509.2418
Citation:
Lei Dechuan, Chen Hao, Wang Yuan, et al. Accelerating simultaneous algebraic reconstruction technique by multi CUDA-enabled GPU[J]. High Power Laser and Particle Beams, 2013, 25: 2418-2422. doi: 10.3788/HPLPB20132509.2418
Lei Dechuan, Chen Hao, Wang Yuan, et al. Accelerating simultaneous algebraic reconstruction technique by multi CUDA-enabled GPU[J]. High Power Laser and Particle Beams, 2013, 25: 2418-2422. doi: 10.3788/HPLPB20132509.2418
Citation:
Lei Dechuan, Chen Hao, Wang Yuan, et al. Accelerating simultaneous algebraic reconstruction technique by multi CUDA-enabled GPU[J]. High Power Laser and Particle Beams, 2013, 25: 2418-2422. doi: 10.3788/HPLPB20132509.2418
In order to solve the problem that the simultaneous algebraic reconstruction technique is very time-consuming, this paper proposes a multi-GPU parallel acceleration method on the basis of single-GPU-accelerated reconstruction. The experimental result shows that compared with the CPU reconstruction speed, the muti-GPU reconstruction speed improves significantly, while the precision of reconstructed images keeps the same, and the reconstruction speed can be further improved by increasing the number of GPUs. This method is of a higher value in engineering.