Improving memory scheduling via processor-side load criticality information

Saugata Ghose, Hyo-Gun Lee, José F. Martínez
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引用次数: 81

Abstract

We hypothesize that performing processor-side analysis of load instructions, and providing this pre-digested information to memory schedulers judiciously, can increase the sophistication of memory decisions while maintaining a lean memory controller that can take scheduling actions quickly. This is increasingly important as DRAM frequencies continue to increase relative to processor speed. In this paper we propose one such mechanism, pairing up a processor-side load criticality predictor with a lean memory controller that prioritizes load requests based on ranking information supplied from the processor side. Using a sophisticated multi-core simulator that includes a detailed quad-channel DDR3 DRAM model, we demonstrate that this mechanism can improve performance significantly on a CMP, with minimal overhead and virtually no changes to the processor itself. We show that our design compares favorably to several state-of-the-art schedulers.
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通过处理器端负载临界信息改进内存调度
我们假设,执行负载指令的处理器端分析,并明智地向内存调度器提供这些预消化的信息,可以提高内存决策的复杂性,同时保持可以快速执行调度操作的精简内存控制器。随着DRAM频率相对于处理器速度的不断提高,这一点变得越来越重要。在本文中,我们提出了一种这样的机制,将处理器端负载临界预测器与基于处理器端提供的排名信息对负载请求进行优先级排序的精益内存控制器配对。使用一个复杂的多核模拟器,包括一个详细的四通道DDR3 DRAM模型,我们证明了这种机制可以显著提高CMP上的性能,开销最小,几乎不改变处理器本身。我们表明,我们的设计优于几个最先进的调度程序。
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