Track reconstruction by GPU in 3D particle tracking detectors

Track reconstruction by GPU in 3D particle tracking detectors
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3D 粒子跟踪探测器中 GPU 的轨迹重建

DOI:
10.1016/j.nima.2015.05.021
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发表时间:
2015
影响因子:
1.4
通讯作者:
S. Stellacci
S. Stellacci
中科院分区:
物理与天体物理3区
文献类型:
--
作者:
C. Bozza;Chiara De Sio;Umut Kose;S. Stellacci

文献摘要

参考文献

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用于高能物理的三维探测器一直需要强大的计算能力。它的可用性有时决定了实验的统计和性能。近年来,gpu的特定计算能力不断增强,为这一应用领域提供了不容错过的新机会。本文展示了一种新的算法,作为速度的副产品,它支持相对于基于cpu的现有技术更广泛的角度接受。虽然该算法是在核乳环境中开发的,但它从一开始就被认为是3D探测器中一般跟踪的工具。整体逻辑可以应用于许多操作上下文,其中跟踪发生在高组合背景中。从不同的角度对算法的性能进行了评估,描述了跟踪问题常见的计算技术的细节,并讨论了测试光束暴露的测量和数据。计算速度已经在各种各样的硬件上进行了评估,研究了一个近似的缩放公式。
3D detectors for high-energy physics have always needed large computing power. Its availability has sometimes determined the statistics and performance of experiments. The increasing specific computing power of GPUs in recent years offers new opportunities for this field of application that should not be missed. The paper shows a novel algorithm that supports, as a by-product of speed, wider angular acceptance with respect to established techniques based on CPUs. While the algorithm has been developed in the environment of nuclear emulsions, it has been conceived from the very beginning as a tool for general tracking in 3D detectors. The overall logic can apply to many operational contexts in which tracking occurs in high combinatorial background. The performances of the algorithm are evaluated from different points of view, describing the details of the computing technique that are common to tracking problems and discussing measurements and data from a test-beam exposure. Computing speed has been evaluated on a broad variety of hardware, investigating an approximated scaling formula.
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DOI: --
发表时间: 2005
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影响因子: --
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