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首页> 外文会议>2011 Eighth International Conference on Quantitative Evaluation of Systems >A Hybrid Approach for Large Cache Performance Studies
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A Hybrid Approach for Large Cache Performance Studies

机译：大型高速缓存性能研究的混合方法

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Recent technology trends are leading to the possibility of computer systems having last level caches significantly larger than those that exist today. Traditionally, cache effectiveness has been modeled through trace-driven simulation tools, however, these tools are not up to the task of modeling very large caches. Because of the limited length of available traces, the tools cannot capture behavior across long enough periods of time to adequately simulate a very large cache. We present mprofiler, a tool that characterizes the memory access pattern of workloads, and present a novel hybrid modeling technique that models cache behavior across a much larger time scale than previously possible. Our methodology combines memory access patterns captured by different tools (e.g., mprofiler) at different time scales and develops analytical techniques that allow spanning the required time frame and predicting the performance of very large caches.
机译：最近的技术趋势导致计算机系统具有比当前现有缓存大得多的最后一级缓存的可能性。传统上，缓存效率是通过跟踪驱动的仿真工具建模的，但是，这些工具无法完成对超大型缓存进行建模的任务。由于可用跟踪的长度有限，该工具无法捕获足够长的时间段内的行为以充分模拟非常大的缓存。我们介绍了mprofiler，这是一种表征工作负载的内存访问模式的工具，并提出了一种新颖的混合建模技术，该技术可以在比以前更大的时间范围内对缓存行为进行建模。我们的方法论结合了由不同工具（例如mprofiler）在不同时间范围内捕获的内存访问模式，并开发了可跨越所需时间范围并预测超大型缓存性能的分析技术。

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