A performance and scalability analysis framework for parallel discrete event simulators

Vijay Balakrishnan, Radharamanan Radhakrishnan, Dhananjai Madhava Rao, Nael Abu-Ghazaleh, Philip A Wilsey
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引用次数: 12

Abstract

The development of efficient parallel discrete event simulators is hampered by the large number of interrelated factors affecting performance. This problem is made more difficult by the lack of scalable representative models that can be used to analyze optimizations and isolate bottlenecks. This paper proposes a performance and scalability analysis framework (PSAF) for parallel discrete event simulators. PSAF is built on a platform-independent Workload Specification Language (WSL). WSL is a language that represents simulation models using a set of fundamental performance-critical parameters. For each simulator under study, a WSL translator generates synthetic platform-specific simulation models that conform to the performance and scalability characteristics specified by the WSL description. Moreover, sets of portable simulation models that explore the effects of the different parameters, individually or collectively, on the execution performance can easily be constructed using the Synthetic Workload Generator (SWG). The SWG automatically generates simulation workloads with different performance properties. In addition, PSAF supports the seamless integration of real simulation models into the workload specification. Thus, a benchmark with both real and synthetically generated models can be built allowing for realistic and thorough exploration of the performance space. The utility of PSAF in determining the boundaries of performance and scalability of simulation environments and models is demonstrated.

并行离散事件模拟器的性能和可扩展性分析框架
高效并行离散事件模拟器的发展受到大量影响其性能的相互关联因素的阻碍。由于缺乏可用于分析优化和隔离瓶颈的可伸缩代表性模型,这个问题变得更加困难。本文提出了一种并行离散事件模拟器的性能和可扩展性分析框架(PSAF)。PSAF建立在与平台无关的工作负载规范语言(WSL)之上。WSL是一种语言,它使用一组基本的性能关键参数来表示仿真模型。对于所研究的每个模拟器,WSL转换器生成符合WSL描述指定的性能和可伸缩性特征的特定于平台的综合仿真模型。此外,使用合成工作负载生成器(Synthetic Workload Generator, SWG)可以很容易地构建一组便携式仿真模型,这些模型可以单独或集体地探索不同参数对执行性能的影响。SWG自动生成具有不同性能属性的模拟工作负载。此外,PSAF支持将真实仿真模型无缝集成到工作负载规范中。因此,可以构建具有真实模型和综合生成模型的基准,从而对性能空间进行真实而彻底的探索。演示了PSAF在确定仿真环境和模型的性能和可伸缩性边界方面的效用。
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