INTERPLAY:一个预测由于多缓存方式禁用导致的性能下降的智能模型

Panagiota Nikolaou, Yiannakis Sazeides, M. Michael
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引用次数: 0

摘要

现代和未来的处理器需要在存在永久故障的情况下保持功能正确,以维持规模效益并限制现场回报。本文提出了一个名为INTERPLAY的基于分析和微架构模拟的框架,该框架可以在设计时快速预测处理器在现场使用方式禁用处理缓存中的永久故障时预期的性能下降。当多个缓存出现故障并需要禁用其中一个或多个缓存方式时,对于具有两级缓存层次结构的处理器,所提出的模型可以以高达98.40%的准确率预测程序的性能。INTERPLAY比穷举模拟方法快9.2倍,因为它只需要对禁用单缓存方式的配置进行训练模拟,就可以预测任何禁用多缓存方式的配置的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
INTERPLAY: An Intelligent Model for Predicting Performance Degradation due to Multi-cache Way-disabling
Modern and future processors need to remain functionally correct in the presence of permanent faults to sustain scaling benefits and limit field returns. This paper presents a combined analytical and microarchitectural simulation-based framework called INTERPLAY, that can rapidly predict, at design-time, the performance degradation expected from a processor employing way-disabling to handle permanent faults in caches while in-the-field. The proposed model can predict a program’s performance with an accuracy of up to 98.40% for a processor with a two-level cache hierarchy, when multiple caches suffer from faults and need to disable one or more of their ways. INTERPLAY is 9.2x faster than an exhaustive simulation approach since it only needs the training simulation runs for the single-cache way-disabling configurations to predict the performance for any multi-cache, way-disabling configuration.
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