论文标题
使用CMS像素跟踪器对轨道和主要顶点的异质重建
Heterogeneous reconstruction of tracks and primary vertices with the CMS pixel tracker
论文作者
论文摘要
LHC的高光度升级将使加速器达到瞬时亮度，$ 7 \ times 10^{34} cm^{ - 2} s^{ - 1} $，平均堆积为$ 200 $ proton-proton-proton碰撞。这些条件将对实验开发的在线和离线重建软件构成前所未有的挑战。迄今为止，计算复杂性将超过常规CPU的处理能力的预期增加，要求采用另一种方法。行业和高性能计算（HPC）中心成功地使用了异质计算平台，通过将每个工作与最合适的体系结构相匹配，以实现更高的吞吐量和更好的能源效率。在本文中，我们将描述图形处理单元（GPU）上像素轨道和顶点重建链的异质实现的结果。该框架的设计和开发为集成在CMS重建软件CMSSW中。通过利用GPU实现的速度使得可以执行更复杂的算法，从而获得更好的物理输出和更高的吞吐量。
The High-Luminosity upgrade of the LHC will see the accelerator reach an instantaneous luminosity of $7\times 10^{34} cm^{-2}s^{-1}$ with an average pileup of $200$ proton-proton collisions. These conditions will pose an unprecedented challenge to the online and offline reconstruction software developed by the experiments. The computational complexity will exceed by far the expected increase in processing power for conventional CPUs, demanding an alternative approach. Industry and High-Performance Computing (HPC) centres are successfully using heterogeneous computing platforms to achieve higher throughput and better energy efficiency by matching each job to the most appropriate architecture. In this paper we will describe the results of a heterogeneous implementation of pixel tracks and vertices reconstruction chain on Graphics Processing Units (GPUs). The framework has been designed and developed to be integrated in the CMS reconstruction software, CMSSW. The speed up achieved by leveraging GPUs allows for more complex algorithms to be executed, obtaining better physics output and a higher throughput.
