Resource Sharing Centric Dynamic Voltage and Frequency Scaling for CMP Cores, Uncore, and Memory

Jae-Yeon Won, Paul V. Gratz, S. Shakkottai, Jiang Hu
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引用次数: 3

Abstract

With the breakdown of Dennard’s scaling over the past decade, performance growth of modern microprocessor design has largely relied on scaling core count in chip multiprocessors (CMPs). The challenge of chip power density, however, remains and demands new power management solutions. This work investigates a coordinated CMP systemwide Dynamic Voltage and Frequency Scaling (DVFS) policy centered around shared resource utilization. This approach represents a new angle on the problem, differing from the conventional core-workload-driven approaches. The key component of our work is per-core DVFS leveraging a technique similar to TCP Vegas congestion control from networking. This TCP Vegas–based DVFS can potentially identify the synergy between power reduction and performance improvement. Further, this work includes uncore (on-chip interconnect and shared last level cache) and main memory DVFS policies coordinated with the per-core DVFS policy. Full system simulations on PARSEC benchmarks show that our technique reduces total energy dissipation by over 47% across all benchmarks with less than 2.3% performance degradation. Our work also leads to 12% more energy savings compared to a prior work CMP DVFS policy.
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资源共享中心动态电压和频率缩放CMP核心,非核心,和内存
在过去的十年中,随着Dennard尺度的崩溃,现代微处理器设计的性能增长在很大程度上依赖于芯片多处理器(cmp)的缩放核心数量。然而,芯片功率密度的挑战仍然存在,需要新的电源管理解决方案。本研究研究了一种协调的CMP系统范围内的动态电压和频率缩放(DVFS)策略,该策略以共享资源利用为中心。这种方法代表了问题的新角度,与传统的核心工作负载驱动方法不同。我们工作的关键部分是单核DVFS,它利用了一种类似于网络中的TCP Vegas拥塞控制的技术。这个基于TCP vegas的DVFS可以潜在地确定功耗降低和性能改进之间的协同作用。此外,这项工作还包括与每核DVFS策略协调的非核(片上互连和共享最后一级缓存)和主存DVFS策略。在PARSEC基准测试上的全系统模拟表明,我们的技术在所有基准测试中降低了47%以上的总能耗,性能下降不到2.3%。与之前的工作CMP DVFS政策相比,我们的工作还可以节省12%的能源。
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