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Modelling coherence overhead of multi-versioned cachesfor random accesses1

机译:为随机访问建模多版本缓存的一致性开销

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Our goal is to predict the performance of multi-node systems consisting of identical processing nodes from single node profiles. The performance of multi-node systems that have coherent caches considerably depends on coherence overhead, which is roughly in direct proportion to the number of transfers of cached copies. We analytically model the number of transfers of cached copies of a data block per write access for random accesses where multi-node systems have multi-versioned coherence mechanisms. Our model aims at helping to predict a baseline performance when closed and/or complex business applications are running, such as clustered databases, the algorithmic behaviours of which are practically impossible to analyse and characteristics of which vary from system to system. To empirically verify our analytical model and show how coherence overhead varies in accordance with parameters, we compared the number of transfers that was predicted by our model and that was counted by a toy simulator of multi-versioned mechanisms.
机译:我们的目标是从单节点概要文件预测由相同处理节点组成的多节点系统的性能。具有相干缓存的多节点系统的性能在很大程度上取决于相干开销,该开销与所缓存副本的传输次数大致成正比。对于多节点系统具有多版本一致性机制的随机访问,我们对每次写访问的数据块缓存副本的传输数量进行了建模分析。我们的模型旨在帮助预测封闭的和/或复杂的业务应用程序(例如集群数据库)运行时的基准性能,而集群数据库的算法行为实际上是无法分析的,并且其特性因系统而异。为了凭经验验证我们的分析模型并显示一致性开销如何根据参数变化,我们比较了模型预测的传输次数和多版本机制的玩具模拟器计算的传输次数。

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