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An Optimal Page-Level Power Management Strategy in PCM-DRAM Hybrid Memory

机译：PCM-DRAM混合存储器中的最佳页面级电源管理策略

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摘要

The new emergence of data-intensive applications raises a huge requirement on the capacity of memory. However, an obvious increase of memory makes the corresponding energy consumption unacceptable in practice. To address this question, any effort only to reduce the energy consumption of dynamic random access memory (DRAM) is ineffective. Recently, combining DRAM and phase change memory (PCM) to construct a hybrid main memory is recognized as a promising solution to distinctly reduce the energy consumption. In this paper, we propose a new page-level energy management strategy to optimize the energy consumption of the hybrid main memory. The proposed strategy records pages' local and global access information by a new data structure, and then classifies pages by the access history, at last adaptively places PCM or DRAM pages according to the memory characteristics and remaps the migrated pages. Our experimental results show that our strategy can achieve 9.4 % of energy saving and 9.6 % of performance improvement at most compared with APG and PDRAM, which were proposed respectively by conferences RACS'12 and DAC'09.
机译：数据密集型应用程序的新出现对内存容量提出了巨大的要求。然而，存储器的明显增加使得相应的能量消耗在实践中是不可接受的。为了解决这个问题，仅减少动态随机存取存储器（DRAM）能耗的任何努力都是无效的。最近，将DRAM和相变存储器（PCM）组合以构建混合主存储器被认为是一种显着降低能耗的有前途的解决方案。在本文中，我们提出了一种新的页面级能量管理策略，以优化混合主内存的能耗。提出的策略通过新的数据结构记录页面的本地和全局访问信息，然后通过访问历史对页面进行分类，最后根据存储特征自适应地放置PCM或DRAM页面并重新映射迁移的页面。我们的实验结果表明，与RACS'12和DAC'09会议分别提出的APG和PDRAM相比，我们的策略最多可实现9.4％的节能和9.6％的性能提升。

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  • 作者

    Jinbao Zhang; Xiaofei Liao; Hai Jin; Dong Liu; Li Lin; Kao Zhao;

  • 作者单位

    Cluster and Grid Computing Lab, Services Computing Technology and System Lab School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China;

    Cluster and Grid Computing Lab, Services Computing Technology and System Lab School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China;

    Cluster and Grid Computing Lab, Services Computing Technology and System Lab School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China;

    Cluster and Grid Computing Lab, Services Computing Technology and System Lab School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China;

    Cluster and Grid Computing Lab, Services Computing Technology and System Lab School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China;

    Cluster and Grid Computing Lab, Services Computing Technology and System Lab School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Energy consumption; Hybrid memory; PCM;

    机译：能源消耗;混合内存;PCM;

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