Thermal Analysis of Microfluidic cooling in Processing-in-3D-Stacked Memory

Jun-Han Han, Karina Torres‐Castro, R. West, N. Swami, M. Stan
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引用次数: 2

Abstract

Recent 3D-stacked Processing-In-Memory (PIM) research investigates improved performance by transferring computation from the CPU into memory. Although PIM’s integration in 3D-stacked memory can achieve better performance, it leads to higher power density than conventional memory operations. The increased power density causes 3D-stacked memory to exacerbate thermal issues. Traditional heat sink cooling on the top surface generates a mismatch between the 3D volumetric heat flux generation and a surface cooling capacity. In this study, we demonstrate a microfluidic cooling technique for PIM in 3D stacked memories. Our technique exploits gaps between the memory die and the gap between the logic die and interposer as cooling chambers. We model the thermal and fluidic characteristics of 3D stacked memory simultaneously. A 64 mm2 of memory, consuming 64W for PIM operation, can be cooled under 85 with a 16.5 ml/min rate of coolant flow. We also performed 2D and 3D COMSOL simulations of the thermal behavior and microfluidic cooling for die-stacked memories operating with PIM.
3d堆叠存储器加工中微流控冷却的热分析
最近的3d堆叠内存处理(PIM)研究通过将计算从CPU转移到内存来提高性能。虽然PIM集成在3d堆叠存储器中可以获得更好的性能,但它会导致比传统存储器操作更高的功率密度。功率密度的增加导致3d堆叠存储器加剧了热问题。传统的散热片在顶部表面的冷却产生了三维体积热流密度和表面冷却能力之间的不匹配。在这项研究中,我们展示了一种用于3D堆叠存储器的PIM的微流控冷却技术。我们的技术利用存储芯片之间的间隙和逻辑芯片与中间层之间的间隙作为冷却室。我们同时模拟了三维堆叠存储器的热特性和流特性。一个64mm2的内存,消耗64W用于PIM操作,可以冷却到85以下,冷却剂流量为16.5 ml/min。我们还进行了二维和三维COMSOL模拟热行为和微流控冷却与PIM操作的堆叠存储器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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