了解和减轻内存系统中芯片内部和dimm内部参数的变化

Meysam Taassori, Ali Shafiee, R. Balasubramonian
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引用次数: 4

摘要

持续的工艺扩展必须克服几个制造挑战。与此同时,业界正在探索许多新的存储技术,这些技术需要新的制造工艺。在这种具有挑战性的制造制度下,参数变化(PV)和良率将是重要的问题。虽然最近的许多工作都针对处理器中的PV,但很少针对存储系统中的PV。缓解技术要么侧重于刷新,要么侧重于模间变化。在这项工作中,通过实证测量,我们首先表明PV,特别是芯片内PV确实是现代DRAM芯片中的真实现象。我们证明了这种芯片内PV可以影响DRAM芯片内不同银行的时序参数。为了应对不断增长的PV,内存定时参数可能会设置得非常保守,以适应最坏的情况。为了克服这些最坏情况的限制,我们提出了一种可重构存储模块的设计,该模块可以检测现场的PV并将存储系统组织为快速/慢速区域。这需要更改内存控制器和内存上的缓冲芯片。此外,操作系统迁移策略可以将频繁访问的页面移动到快速区域。这种总体方法不仅提高了性能和能量,还为可以容忍错误或近似的系统提供了一个可配置的平台。该系统在DRAM系统中平均性能提高12.6%,在NVM系统中平均性能提高25.5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding and alleviating intra-die and intra-DIMM parameter variation in the memory system
Continued process scaling must overcome several manufacturing challenges. At the same time, industry is exploring many new memory technologies that require new manufacturing processes. In such challenging fabrication regimes, parameter variation (PV) and yield will be important problems. While many recent bodies of work have targeted PV in processors, few have targeted PV in the memory system. Mitigation techniques have either focused on refresh, or have focused on inter-die variation. In this work, with empirical measurements, we first show that PV and specifically intra-die PV is indeed a real phenomenon in modern DRAM chips. We show that this intra-die PV can impact timing parameters for different banks within a DRAM chip. In response to growing PV, memory timing parameters will likely be set very conservatively to accommodate the worst case. To overcome these worst-case limitations, we propose the design of a reconfigurable memory module that detects PV in the field and organizes the memory system into fast/slow regions. This requires changes to the memory controller and to buffer chips on DIMMs. Further, OS migration policies can move frequently accessed pages to the fast regions. This overall approach not only improves performance and energy, it also provides a configurable platform for systems that can tolerate errors or approximation. The proposed system yields an average performance improvement of 12.6% in DRAM systems, and 25.5% in NVM systems.
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