Maximizing Energy Efficiency in NTC by Variation-Aware Microprocessor Pipeline Optimization

A. Gebregiorgis, M. Golanbari, S. Kiamehr, Fabian Oboril, M. Tahoori
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引用次数: 9

Abstract

Near threshold computing (NTC) has the potential to reduce the energy consumption by orders of magnitude. However, NTC designs suffer from a higher sensitivity to process variation and substantial performance degradation. In NTC, process variation affects the delays of different pipeline stages significantly, resulting in energy-inefficient designs. In this paper, we propose an energy-efficient variation-aware processor pipeline optimization, in which the pipeline stages are balanced by considering the impact of process variation during earlier design phases. This can lead to a well-balanced design and significant improvement in energy-efficiency. For this purpose, we employ an iterative variation-aware synthesis flow in which the synthesis tool is provided with variation information. Since the impact of process variation is considered during synthesis, our technique can improve the energy-efficiency by avoiding pessimistic guard band. Simulation results show that our technique can improve the energy-efficiency of OpenSPARC and FabScalar cores by 55% and 85%, respectively.
通过变化感知微处理器管道优化最大化NTC的能源效率
近阈值计算(NTC)具有将能耗降低数量级的潜力。然而,NTC设计对工艺变化和性能下降的敏感性较高。在NTC中,工艺变化会显著影响不同管道阶段的延迟,从而导致低效的设计。在本文中,我们提出了一种节能的变化感知处理器管道优化方法,该方法通过在早期设计阶段考虑工艺变化的影响来平衡管道阶段。这可以导致一个平衡的设计和显著提高能源效率。为了这个目的,我们采用了一个迭代的变化感知综合流程,在这个流程中,综合工具被提供了变化信息。由于在合成过程中考虑了工艺变化的影响,该方法避免了悲观保护带,提高了能量效率。仿真结果表明,该方法可将OpenSPARC和FabScalar内核的能效分别提高55%和85%。
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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