论文标题
Celeritas：高能物理实验中用于检测器模拟的GPU加速粒子传输
Celeritas: GPU-accelerated particle transport for detector simulation in High Energy Physics experiments
论文作者
论文摘要
在接下来的十年中，实验性高能量物理（HEP）将通过粒子物理项目优先面板（P5）推荐的一系列针对性程序进入科学发现的新时代，包括即将到来的高光度大型强调碰撞器（LHC）HL-LHC升级和深地下中性实验（Dune）。这些在能量和强度边界方面的努力将需要在包括蒙特卡洛（MC）检测器仿真在内的许多方面具有前所未有的计算能力。为了减轻这种即将到来的计算瓶颈，Celeritas MC粒子传输代码旨在利用新一代的异质计算机体系结构，包括美国能源部（DOE）领导力计算设施（LCFS）的Exascale计算能力（LCFS），以模拟Geant4的全部FideLity of Geant4。本文介绍了Celeritas计划的路线图，包括其建议的代码架构，物理功能以及将其与现有和未来的实验性HEP计算工作流程集成的策略。
Within the next decade, experimental High Energy Physics (HEP) will enter a new era of scientific discovery through a set of targeted programs recommended by the Particle Physics Project Prioritization Panel (P5), including the upcoming High Luminosity Large Hadron Collider (LHC) HL-LHC upgrade and the Deep Underground Neutrino Experiment (DUNE). These efforts in the Energy and Intensity Frontiers will require an unprecedented amount of computational capacity on many fronts including Monte Carlo (MC) detector simulation. In order to alleviate this impending computational bottleneck, the Celeritas MC particle transport code is designed to leverage the new generation of heterogeneous computer architectures, including the exascale computing power of U.S. Department of Energy (DOE) Leadership Computing Facilities (LCFs), to model targeted HEP detector problems at the full fidelity of Geant4. This paper presents the planned roadmap for Celeritas, including its proposed code architecture, physics capabilities, and strategies for integrating it with existing and future experimental HEP computing workflows.
