ScalCore:为电压可扩展性设计一个核心

Bhargava Gopireddy, Choungki Song, J. Torrellas, N. Kim, Aditya Agrawal, Asit K. Mishra
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引用次数: 18

摘要

即将到来的多核需要提供越来越严格的节能执行模式。目前,能源效率是通过DVFS降低电压(Vdd)来实现的。然而,DVFS的有效性是有限的:设计低Vdd的内核导致在标称Vdd时能量效率低下。我们的目标是为电压可扩展性设计一个核心,即在标称Vdd下可以在高性能模式(HPMode)下工作,在低Vdd下可以在非常节能的模式(EEMode)下工作。我们称之为ScalCore。为了在EEMode中高效运行能源,ScalCore引入了两个想法。首先,由于Vdd对逻辑和存储结构的扩展不同,ScalCore对管道应用了两个低Vdd:一个用于逻辑阶段(Vlogic),另一个用于存储密集型阶段。其次,ScalCore进一步提高了存储密集型阶段(Vop)的低Vdd,因此它们比逻辑阶段要快得多。然后,它通过融合存储密集型管道阶段或增加管道中存储结构的大小来利用速度差异。我们对16个核心的模拟表明,在EEMode中使用ScalCores的设计比使用传统核心和激进DVFS的设计节能得多:在大约相同的功率下,ScalCores将程序的平均执行时间减少了31%,能耗(E)减少了48%,ED产品减少了60%。此外,基于程序阶段在EEMode和HPMode之间动态切换非常有效:它将平均执行时间和ED产品分别减少了28%和15%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ScalCore: Designing a core for voltage scalability
Upcoming multicores need to provide increasingly stringent energy-efficient execution modes. Currently, energy efficiency is attained by lowering the voltage (Vdd) through DVFS. However, the effectiveness of DVFS is limited: designing cores for low Vdd results in energy inefficiency at nominal Vdd. Our goal is to design a core for Voltage Scalability, i.e., one that can work in high-performance mode (HPMode) at nominal Vdd, and in a very energy-efficient mode (EEMode) at low Vdd. We call this core ScalCore. To operate energy-efficiently in EEMode, ScalCore introduces two ideas. First, since logic and storage structures scale differently with Vdd, ScalCore applies two low Vdds to the pipeline: one to the logic stages (Vlogic) and a higher one to storage-intensive stages. Secondly, ScalCore further increases the low Vdd of the storage-intensive stages (Vop), so that they are substantially faster than the logic ones. Then, it exploits the speed differential by either fusing storage-intensive pipeline stages or increasing the size of storage structures in the pipeline. Our simulations of 16 cores show that a design with ScalCores in EEMode is much more energy-efficient than one with conventional cores and aggressive DVFS: for approximately the same power, ScalCores reduce the average execution time of programs by 31%, the energy (E) consumed by 48%, and the ED product by 60%. In addition, dynamically switching between EEMode and HPMode based on program phases is very effective: it reduces the average execution time and ED product by a further 28% and 15%, respectively.
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