Accelerating simultaneous algebraic reconstruction technique by multi CUDA-enabled GPU
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摘要: 为解决SART迭代重建算法计算耗时的问题，在单GPU基础上，利用多块GPU 的并行计算能力，提出了一种多GPU加速迭代重建算法。实验结果表明，与CPU重建相比，在不影响重建图像质量的情况下，采用GPU重建速度有明显提高，且增加GPU数量可以进一步提高重建速度。Abstract: 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.
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