一种基于多GPU的高加速并行重建算法
A Highly Accelerated Parallel Multi-GPU based Reconstruction Algorithm for Generating Accurate Relative Stopping Powers
摘要：
低剂量质子计算机断层成像（pCT）是一种不断发展的成像模式，用于解决范围不确定性问题的质子治疗计划。pCT的目标是在临床要求的时间范围内以高精度生成相对阻止本领（RSP）测量的3D图。在最短的时间内生成准确的RSP值被认为是开发pCT软件时的关键目标。现有的pCT软件已经成功地满足了这一时间范围，甚至成功地实现了这一时间目标，但需要具有数百个处理器的集群。本文介绍了一种新的重建技术，使用两个图形处理单元（GPU）的核心，如可在一个单一的Nvidia P100。所提出的重建技术进行了测试模拟和实验数据集和两个不同的系统，即Nvidia K40和P100 GPU从IBM和Cray。实验结果表明，我们提出的重建方法符合时间和准确性的好处，具有合理的成本，并有效地利用电力。
英文摘要：
Low-dose Proton Computed Tomography (pCT) is an evolving imaging modality that is used in proton therapy planning which addresses the range uncertainty problem. The goal of pCT is generating a 3D map of Relative Stopping Power (RSP) measurements with high accuracy within clinically required time frames. Generating accurate RSP values within the shortest amount of time is considered a key goal when developing a pCT software. The existing pCT softwares have successfully met this time frame and even succeeded this time goal, but requiring clusters with hundreds of processors. This paper describes a novel reconstruction technique using two Graphics Processing Unit (GPU) cores, such as is available on a single Nvidia P100. The proposed reconstruction technique is tested on both simulated and experimental datasets and on two different systems namely Nvidia K40 and P100 GPUs from IBM and Cray. The experimental results demonstrate that our proposed reconstruction method meets both the timing and accuracy with the benefit of having reasonable cost, and efficient use of power.
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