近数据处理:3D存储系统架构对Uncore的影响与优化

S. M. Hassan, S. Yalamanchili, S. Mukhopadhyay
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引用次数: 33

摘要

最近有一个很有前途的发展,可以提供持续的性能扩展,即在多核处理器芯片上堆叠多个DRAM层的能力。本文分析了互连网络与存储层之间的相互作用及其对系统性能的影响。我们探讨了具有DRAM-on-processor堆叠的3D系统的设计考虑因素,并注意到3D的全部优势只能通过配置具有大量通道的存储器来实现。这显著提高了内存级别的并行性,从而降低了每个DRAM组的流量,减少了它们的排队延迟,但增加了互连网络上的流量,使远程访问变得昂贵。为了减少网络上的延迟和流量,我们建议将内存层次结构重组为内存端缓存组织,并探讨了各种地址转换和操作系统页面分配策略的影响。我们的研究结果表明,一个精心设计的3D存储系统已经可以提高25-35%的性能,而无需寻求新的复杂技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Near Data Processing: Impact and Optimization of 3D Memory System Architecture on the Uncore
A promising recent development that can provide continued scaling of performance is the ability to stack multiple DRAM layers on a multi-core processor die. This paper analyzes the interaction between the interconnection network and the memory hierarchy in such systems, and its impact on system performance. We explore the design considerations of a 3D system with DRAM-on-processor stacking and note that full advantages of 3D can only be achieved by configuring the memory with high number of channels. This significantly increases memory level parallelism which results in decreasing the traffic per DRAM bank, reducing their queuing delays, but increasing it on the interconnection network, making remote accesses expensive. To reduce the latency and traffic on the network, we propose restructuring the memory hierarchy to a memory-side cache organization and also explore the effects of various address translations and OS page allocation strategies. Our results indicate that a carefully designed 3D memory system can already improve performance by 25-35% without looking towards new sophisticated techniques.
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