标题： 比较多群和连续能量问题中基于 GPU 的事件驱动处理方法的 MC/DC 性能 显示英文标题

标题： Comparing the Performance of MC/DC's on-GPU Event-based Processing Methods in Multigroup and Continuous-energy Problems

摘要： 蒙特卡罗/动态代码（MC/DC）是一种可移植的蒙特卡罗中子输运软件包，用于在异构和高性能计算（HPC）环境中快速探索数值方法，该软件包是在exascale蒙特卡罗中子输运中心（CEMeNT）的支持下开发的。 为了支持在GPU上的执行，MC/DC将资源和执行管理委托给了Harmonize（另一个CEMeNT软件项目）。 在本文中，我们描述并比较了Harmonize目前提供的两种方法的性能：基于栈的方法和分布式异步方法。 作为这项研究的一部分，我们在3D C5G7 k-本征值基准问题和一个连续能量无限针细胞问题上分析了这两种方法的性能，这些问题分别在4个NVIDIA Tesla V100上运行。 我们发现，与基于栈的方法相比，在3D C5G7基准测试中，异步方法表现出更强的早期扩展性。 我们还发现，对于连续能量问题，异步方法相对于基于栈的方法表现出混合性能，这取决于计数器分辨率、粒子数量以及传输循环分解方式。 显示英文摘要

摘要： Monte Carlo / Dynamic Code (MC/DC) is a portable Monte Carlo neutron transport package for rapid numerical methods exploration in heterogeneous and HPC contexts, developed under the auspices of the Center for Exascale Monte Carlo Neutron Transport (CEMeNT). To support execution on GPUs, MC/DC delegates resource and execution management to Harmonize (another CEMeNT software project). In this paper, we describe and compare the performance of the two methods that Harmonize currently provides: a stack-based method and a distributed, asynchronous method. As part of this investigation, we analyze the performance of both methods under the 3D C5G7 k-eigenvalue benchmark problem and a continuous-energy infinite pin cell problem, as run across 4 NVIDIA Tesla V100s. We find that the asynchronous method exhibits stronger early scaling compared to the stack-based method in the 3D C5G7 benchmark. We also found that the asynchronous method exhibits mixed performance relative to the stack-based method in the continuous-energy problem, depending upon tally resolution, particle count, and transport loop decomposition.