多核感知的重用距离分析

Derek L. Schuff, Benjamin S. Parsons, Vijay S. Pai
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引用次数: 55

摘要

通过考虑基于无效的缓存一致性和核间缓存共享,提出并验证了将应用程序局部性特征的重用距离分析扩展到共享内存多核平台的方法。现有的重用距离分析方法跟踪给定线程对同一地址的重用之间引用的不同地址的数量,但不模拟其他线程对数据引用的影响。本文展示了几种保持重用堆栈一致性的方法,以便它们考虑到失效和缓存共享,无论是在模拟执行中还是在同步点上出现的引用。这些方法在基于simics的一致性缓存模拟器上进行评估,该模拟器运行几个OpenMP和基于事务的基准测试。结果表明,添加多核感知大大提高了重用距离分析来建模缓存行为的能力,将缺失率预测的误差(相对于特定缓存大小的缓存模拟)降低了每核缓存的平均70%和共享缓存的平均90%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multicore-aware reuse distance analysis
This paper presents and validates methods to extend reuse distance analysis of application locality characteristics to shared-memory multicore platforms by accounting for invalidation-based cache-coherence and inter-core cache sharing. Existing reuse distance analysis methods track the number of distinct addresses referenced between reuses of the same address by a given thread, but do not model the effects of data references by other threads. This paper shows several methods to keep reuse stacks consistent so that they account for invalidations and cache sharing, either as references arise in a simulated execution or at synchronization points. These methods are evaluated against a Simics-based coherent cache simulator running several OpenMP and transaction-based benchmarks. The results show that adding multicore-awareness substantially improves the ability of reuse distance analysis to model cache behavior, reducing the error in miss ratio prediction (relative to cache simulation for a specific cache size) by an average of 70% for per-core caches and an average of 90% for shared caches.
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