离散事件仿真模型中执行事件的一些性质

P. Wilsey
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引用次数: 13

摘要

计算机体系结构领域使用定量方法来驱动计算机系统设计过程。通过定量分析计算机程序的运行时特征,可以很好地理解常用程序的主要处理需求,并且计算机架构师可以将其设计解决方案集中在这些需求上。DESMetrics项目的建立是为了遵循这个定量模型,通过分析离散事件模拟(DES)模型的执行情况,以便在DES执行框架(尤其是并行DES引擎)内集中优化工作。特别地,设计DESMetrics项目是为了捕获DES模型中事件执行的运行时特征。由于DES模型倾向于具有细粒度的计算处理需求,DESMetrics项目侧重于事件依赖关系及其在模拟对象之间的交换。目前,我们假设传统的编译器和体系结构解决方案可以很好地优化实际事件处理。尽管如此,正如第6节稍后将会说明的那样,识别可能一起调度的事件调度块的可能性是可以实现的——至少在单个模拟对象中是这样。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Some Properties of Events Executed in Discrete-Event Simulation Models
The field of computer architecture uses quantitative methods to drive the computer system design process. By quantitatively profiling the run time characteristics of computer programs, the principal processing needs of commonly used programs became well understood and computer architects can focus their design solutions toward those needs. The DESMetrics project is established to follow this quantitative model by profiling the execution of Discrete Event Simulation (DES) models in order to focus optimization efforts within DES execution frameworks (and especially parallel DES engines). In particular, the DESMetrics project is designed to capture the run time characteristics of event execution in DES models. Because DES models tend to have fine grained computational processing requirements, the DESMetrics project focuses on the event dependencies and their exchange between the objects in the simulation. For now, we assume that optimization of the actual event processing is well served by conventional compiler and architecture solutions. Although, as will become clear later in Section 6, the possibility of identifying scheduling blocks of events that could potentially be schedule together can be achieved - at least within a single simulation object.
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