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基于CUDA的多GPU加速SART迭代重建算法 被引量:7

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。 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.
出处 《强激光与粒子束》 EI CAS CSCD 北大核心 2013年第9期2418-2422,共5页 High Power Laser and Particle Beams
基金 中国工程物理研究院应用电子学研究所自研课题(2012CXZY01)
关键词 计算机断层成像 统一计算机架构 SART 多GPU computer tomography computer unified device architecture simultaneous algebraic reconstruction technique multi GPU
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参考文献10

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