计算机科学
帕塞克
频率标度
内存管理
电子设备和系统的热管理
电源管理
水准点(测量)
三维集成电路
背景(考古学)
静态随机存取存储器
扩展内存
交错存储器
嵌入式系统
热的
功率(物理)
半导体存储器
计算机硬件
电压
电气工程
操作系统
集成电路
地理
工程类
气象学
古生物学
星星
物理
生物
机械工程
量子力学
计算机视觉
大地测量学
作者
Yixian Shen,L.C. Schreuders,Anuj Pathania,Andy D. Pimentel
出处
期刊:ACM Transactions in Embedded Computing Systems
[Association for Computing Machinery]
日期:2023-09-09
卷期号:22 (5s): 1-26
被引量:3
摘要
3D-stacked processor-memory systems stack memory (DRAM banks) directly on top of logic (CPU cores) using chiplet-on-chiplet packaging technology to provide the next-level computing performance in embedded platforms. Stacking, however, severely increases the system’s power density without any accompanying increase in the heat dissipation capacity. Consequently, 3D-stacked processor-memory systems suffer more severe thermal issues than their non-stacked counterparts. Nevertheless, 3D-stacked processor-memory systems do inherit power (thermal) management knobs from their non-stacked predecessors - namely Dynamic Voltage and Frequency Scaling (DVFS) for cores and Low Power Mode (LPM) for memory banks. In the context of 3D-stacked processor-memory systems, DVFS and LPM are performance- and power-wise deeply intertwined. Their non-unified independent use on 3D-stacked processor-memory systems results in sub-optimal thermal management. The unified use of DVFS and LPM for thermal management for 3D-stacked processor-memory systems remains unexplored. The lack of implementation of LPM in thermal simulators for 3D-stacked processor-memory systems hinders real-world representative evaluation for a unified approach. We extend the state-of-the-art interval thermal simulator for 3D-stacked processor-memory systems CoMeT with an LPM power management knob for memory banks. We also propose a learning-based thermal management technique for 3D-stacked processor-memory systems that employ DVFS and LPM in a unified manner. Detailed interval thermal simulations with the extended CoMeT framework show a 10.15% average response time improvement with the PARSEC and SPLASH-2 benchmark suites, along with widely-used Deep Neural Network (DNN) workloads against a state-of-the-art thermal management technique for 2.5D processor-memory systems (ported directly to 3D-stacked processor-memory systems) that also proposes unified use of DVFS and LPM.
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