Heterogeneous memory architectures: A HW/SW approach for mixing die-stacked and off-package memories

Mitesh R. Meswani, S. Blagodurov, D. Roberts, John Slice, Mike Ignatowski, G. Loh
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引用次数: 152

Abstract

Die-stacked DRAM is a technology that will soon be integrated in high-performance systems. Recent studies have focused on hardware caching techniques to make use of the stacked memory, but these approaches require complex changes to the processor and also cannot leverage the stacked memory to increase the system's overall memory capacity. In this work, we explore the challenges of exposing the stacked DRAM as part of the system's physical address space. This non-uniform access memory (NUMA) styled approach greatly simplifies the hardware and increases the physical memory capacity of the system, but pushes the burden of managing the heterogeneous memory architecture (HMA) to the software layers. We first explore simple (and somewhat impractical) schemes to manage the HMA, and then refine the mechanisms to address a variety of hardware and software implementation challenges. In the end, we present an HMA approach with low hardware and software impact that can dynamically tune itself to different application scenarios, achieving performance even better than the (impractical-to-implement) baseline approaches.
异构存储器体系结构:混合模堆叠和非封装存储器的硬件/软件方法
模堆叠DRAM是一种将很快集成到高性能系统中的技术。最近的研究集中在硬件缓存技术上,以利用堆叠内存,但是这些方法需要对处理器进行复杂的更改,并且也不能利用堆叠内存来增加系统的总体内存容量。在这项工作中,我们探讨了将堆叠DRAM暴露为系统物理地址空间的一部分的挑战。这种非统一访问内存(NUMA)风格的方法大大简化了硬件并增加了系统的物理内存容量,但将管理异构内存体系结构(HMA)的负担推到了软件层。我们首先探索管理HMA的简单(并且有些不切实际)方案,然后改进机制以解决各种硬件和软件实现挑战。最后,我们提出了一种具有低硬件和软件影响的HMA方法,它可以动态地调整自己以适应不同的应用程序场景,实现比(难以实现的)基线方法更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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