What can performance counters do for memory subsystem analysis?

S. Eranian
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引用次数: 73

Abstract

Nowadays, all major processors provide a set of performance counters which capture micro-architectural level information, such as the number of elapsed cycles, cache misses, or instructions executed. Counters can be found in processor cores, processor die, chipsets, or in I/O cards. They can provide a wealth of information as to how the hardware is being used by software. Many processors now support events to measure precisely and with very limited overhead, the traffic between a core and the memory subsystem. It is possible to compute average load latency and bus band-width utilization. This valuable information can be used to improve code quality and placement of threads to maximize hardware utilization. We postulate that performance counters are the key hardware resource to locate and understand issues related to the memory subsystem. In this paper we illustrate our position by showing how certain key memory performance metrics can be gathered easily on today's hardware.
性能计数器可以为内存子系统分析做什么?
现在,所有主要的处理器都提供了一组性能计数器,用于捕获微体系结构级别的信息,例如经过的周期数、缓存丢失或执行的指令。计数器可以在处理器内核、处理器芯片、芯片组或I/O卡中找到。它们可以提供关于软件如何使用硬件的大量信息。现在,许多处理器都支持事件,以便在非常有限的开销下精确测量内核和内存子系统之间的流量。可以计算平均负载延迟和总线带宽利用率。这些有价值的信息可用于改进代码质量和线程的位置,以最大限度地提高硬件利用率。我们假设性能计数器是定位和理解与内存子系统相关的问题的关键硬件资源。在本文中,我们通过展示如何在当今的硬件上轻松收集某些关键内存性能指标来说明我们的立场。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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