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The need for measured data in computer system performance analysis or garbage in, garbage out

机译:在计算机系统性能分析中需要测量数据或进行垃圾清理,垃圾清理

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There are three general techniques for studying the design, operation and optimization of any type of system: implementation, modeling, and simulation. Implementation can be used when the time is available and the effort is justified. Mathematical modeling can be used if the system is simple enough or if gross approximations are acceptable. Simulation is needed for the remaining cases. In all three cases, a crucial element is the need for accurate estimates of the "workload." For example, for a computer main or cache memory system, the workload may at one level of detail be the timing and sequence of memory addresses referenced; at another level of detail, it could be just the ratio of loads to stores. No matter how accurate the model of a system may be, any results from it are useless if the workload is not accurately represented. We discuss various types of models and when and what type of accurate workload data is needed. We pay particular attention to performance analysis of memory hierarchies and the use of trace driven simulation.
机译:有三种常规技术用于研究任何类型系统的设计,操作和优化:实现,建模和仿真。当时间可用并且努力是合理的,可以使用实现。如果系统足够简单或者粗略近似是可接受的,则可以使用数学建模。剩余情况需要模拟。在所有三种情况下,关键因素是需要准确估计“工作量”。例如,对于计算机主或高速缓冲存储器系统,工作负载可以在一级细节中成为所引用的存储器地址的定时和序列;在另一个细节水平,它可能只是载荷与商店的比率。无论系统的模型如何准确,如果工作负载不准确地表示,则任何结果都是无用的。我们讨论各种类型的模型,何时以及何时以及何种类型的准确工作负载数据。我们特别注意记忆层次结构的性能分析和跟踪驱动模拟的使用。

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