Heterogeneous Reconstruction of Tracks and Primary Vertices With the CMS Pixel Tracker.
Heterogeneous Reconstruction of Tracks and Primary Vertices With the CMS Pixel Tracker.
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DOI：
10.3389/fdata.2020.601728
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发表时间：
2020
影响因子：
3.1
通讯作者：
Rovere M
中科院分区：
文献类型：
--
作者：
Bocci A;Innocente V;Kortelainen M;Pantaleo F;Rovere M
大型强子对撞机（LHC）的高亮度升级将使加速器达到7 × 1034 cm−2 s−1的瞬时亮度，平均发生200次质子-质子碰撞。这些条件将对实验开发的在线和离线重建软件提出前所未有的挑战。计算复杂性将远远超过传统cpu处理能力的预期增长，需要一种替代方法。工业和高性能计算（HPC）中心正在成功地使用异构计算平台，通过将每个作业与最合适的体系结构相匹配来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构实现的结果。该框架已被设计和开发，以集成在CMS重建软件CMSSW中。通过利用gpu实现的速度允许执行更复杂的算法，获得更好的物理输出和更高的吞吐量。
The High-Luminosity upgrade of the Large Hadron Collider (LHC) will see the accelerator reach an instantaneous luminosity of 7 × 1034 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) centers 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.
影响因子：
1.3
作者：
Chatrchyan, S.;Khachatryan, V.;Woods, N.
通讯作者：
Woods, N.
DOI：
10.1016/j.nima.2006.05.156
发表时间：
2006-10-01
影响因子：
1.4
作者：
Blobel, V.
通讯作者：
Blobel, V.