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用于低延迟和低功耗3D堆叠DRAM的片上动态随机存取存储器缓存管理

In-DRAM Cache Management for Low Latency and Low Power 3D-Stacked DRAMs.

作者信息

Shin Ho Hyun, Chung Eui-Young

机构信息

Samsung Electronics Company, Ltd., Hwasung 18448, Korea.

School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Korea.

出版信息

Micromachines (Basel). 2019 Feb 14;10(2):124. doi: 10.3390/mi10020124.

DOI:10.3390/mi10020124
PMID:30769837
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6412702/
Abstract

Recently, 3D-stacked dynamic random access memory (DRAM) has become a promising solution for ultra-high capacity and high-bandwidth memory implementations. However, it also suffers from memory wall problems due to long latency, such as with typical 2D-DRAMs. Although there are various cache management techniques and latency hiding schemes to reduce DRAM access time, in a high-performance system using high-capacity 3D-stacked DRAM, it is ultimately essential to reduce the latency of the DRAM itself. To solve this problem, various asymmetric in-DRAM cache structures have recently been proposed, which are more attractive for high-capacity DRAMs because they can be implemented at a lower cost in 3D-stacked DRAMs. However, most research mainly focuses on the architecture of the in-DRAM cache itself and does not pay much attention to proper management methods. In this paper, we propose two new management algorithms for the in-DRAM caches to achieve a low-latency and low-power 3D-stacked DRAM device. Through the computing system simulation, we demonstrate the improvement of energy delay product up to 67%.

摘要

最近,3D堆叠动态随机存取存储器(DRAM)已成为实现超高容量和高带宽存储器的一种很有前景的解决方案。然而,与典型的2D-DRAM一样,由于延迟长,它也存在内存墙问题。尽管有各种缓存管理技术和延迟隐藏方案来减少DRAM访问时间,但在使用高容量3D堆叠DRAM的高性能系统中,最终降低DRAM本身的延迟至关重要。为了解决这个问题,最近提出了各种非对称片内DRAM缓存结构,对于高容量DRAM来说,这些结构更具吸引力,因为它们可以在3D堆叠DRAM中以更低的成本实现。然而,大多数研究主要集中在片内DRAM缓存本身的架构上,而没有过多关注适当的管理方法。在本文中,我们提出了两种用于片内DRAM缓存的新管理算法,以实现低延迟、低功耗的3D堆叠DRAM器件。通过计算系统仿真,我们证明了能量延迟积提高了67%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7184/6412702/135faa04268e/micromachines-10-00124-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7184/6412702/f0199f130ad7/micromachines-10-00124-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7184/6412702/55a2be11bcda/micromachines-10-00124-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7184/6412702/6e0a0a5cbfd9/micromachines-10-00124-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7184/6412702/848e15165087/micromachines-10-00124-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7184/6412702/714ca847ec0b/micromachines-10-00124-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7184/6412702/9f7b14d47970/micromachines-10-00124-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7184/6412702/fe219bdcce27/micromachines-10-00124-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7184/6412702/646b912a4736/micromachines-10-00124-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7184/6412702/faf8b25a9f69/micromachines-10-00124-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7184/6412702/135faa04268e/micromachines-10-00124-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7184/6412702/f0199f130ad7/micromachines-10-00124-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7184/6412702/55a2be11bcda/micromachines-10-00124-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7184/6412702/6e0a0a5cbfd9/micromachines-10-00124-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7184/6412702/848e15165087/micromachines-10-00124-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7184/6412702/714ca847ec0b/micromachines-10-00124-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7184/6412702/9f7b14d47970/micromachines-10-00124-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7184/6412702/fe219bdcce27/micromachines-10-00124-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7184/6412702/646b912a4736/micromachines-10-00124-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7184/6412702/faf8b25a9f69/micromachines-10-00124-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7184/6412702/135faa04268e/micromachines-10-00124-g010.jpg

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