TESLA: Using microfluidics to thermally stabilize 3D stacked STT-RAM caches

Majed Valad Beigi, G. Memik
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引用次数: 17

Abstract

In this work, we develop a 3D architecture that utilizes STT-RAM for the last level cache (LLC). 3D integration enables large LLCs to be stacked onto a die. However, 3D architectures suffer from higher operating temperatures due to increased power densities. The elevated temperatures can adversely impact the STT-RAM performance and reliability. The objective of this paper is to address the limits of integrating STT-RAM in 3D chip stacks from a thermal perspective and propose a novel stacking structure that minimizes heat-induced problems. Specifically, we analyze the system-level impact of increased temperatures and propose a novel technique to dynamically adjust the flow rate of the liquid interlayer cooling at run time to reduce the STT-RAM temperature and alleviate temperature-induced problems that cause the performance degradation and prevent overcooling the STT-RAM die and minimize the pump energy consumption. Evaluation results reveal that our approach achieves up to 19.1% performance improvement and 14.6% power reduction over an architecture that does not include an insulating layer.
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特斯拉:使用微流体热稳定3D堆叠STT-RAM缓存
在这项工作中,我们开发了一个3D架构,利用STT-RAM作为最后一级缓存(LLC)。3D集成使大型llc能够堆叠到一个模具上。然而,由于功率密度的增加,3D架构面临更高的工作温度。高温会对STT-RAM的性能和可靠性产生不利影响。本文的目的是从热的角度解决集成STT-RAM在3D芯片堆栈中的限制,并提出一种新的堆栈结构,以最大限度地减少热引起的问题。具体而言,我们分析了温度升高对系统级的影响,并提出了一种在运行时动态调节液体层间冷却流量的新技术,以降低STT-RAM温度,缓解温度引起的性能下降问题,防止STT-RAM模具过冷,并最大限度地降低泵的能耗。评估结果显示,与不包含绝缘层的架构相比,我们的方法实现了高达19.1%的性能提升和14.6%的功耗降低。
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