大规模HPC架构的仿真

Ian S. Jones, C. Engelmann
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引用次数: 15

摘要

Extreme-scale Simulator (xSim)是最近开发的性能调查工具包,它允许在具有数百万并发执行线程的受控环境中运行高性能计算(HPC)应用程序。它允许在模拟的极端规模HPC系统中观察并行应用程序的性能特性,以进一步帮助HPC硬件和应用软件在迈向千兆级和百亿亿级计算的道路上协同设计。本文为xSim性能调查工具包提出了一个新实现的网络模型,该模型能够为各种HPC网络体系结构提供仿真支持,并在仿真可扩展性和准确性之间进行适当的权衡。所采用的方法侧重于具有模拟网络延迟和带宽限制的可伸缩分布式解决方案。支持星形、环状、网状、环面、扭曲环面、树形等不同的网络架构,以及模拟片上网络和节点上网络等分层组合。省略了网络流量拥塞建模,通过降低仿真精度来获得仿真可扩展性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation of Large-Scale HPC Architectures
The Extreme-scale Simulator (xSim) is a recently developed performance investigation toolkit that permits running high-performance computing (HPC) applications in a controlled environment with millions of concurrent execution threads. It allows observing parallel application performance properties in a simulated extreme-scale HPC system to further assist in HPC hardware and application software co-design on the road toward multi-petascale and exascale computing. This paper presents a newly implemented network model for the xSim performance investigation toolkit that is capable of providing simulation support for a variety of HPC network architectures with the appropriate trade-off between simulation scalability and accuracy. The taken approach focuses on a scalable distributed solution with latency and bandwidth restrictions for the simulated network. Different network architectures, such as star, ring, mesh, torus, twisted torus and tree, as well as hierarchical combinations, such as to simulate network-on-chip and network-on-node, are supported. Network traffic congestion modeling is omitted to gain simulation scalability by reducing simulation accuracy.
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