微体系结构感知栅极尺寸:电路体系结构协同优化的框架

Sanghamitra Roy, Koushik Chakraborty
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引用次数: 2

摘要

现代高性能微处理器在许多结构部件上的利用率大大降低。为了从较低的利用率中恢复能源效率,系统架构师求助于动态电压频率缩放(DVFS)。在本文中,我们证明了使用DVFS的动态适应比设计低性能电路的技术明显节能。我们提出了一种新的微架构感知栅极尺寸和阈值电压分配算法来缓解这种电流限制。我们的技术是同类中第一个利用门尺寸的架构松弛,并利用芯片上的冗余和松弛。我们通过将基于标准单元的栅极尺寸流与最先进的建筑模拟相结合,在超标量处理器中评估这种电路-架构协同优化框架。我们的研究结果表明,与采用DVFS方案的传统电路设计相比,数据路径能源效率提高了17-46%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Microarchitecture aware gate sizing: A framework for circuit-architecture co-optimization
Modern high performance microprocessors experience substantially lower utilization in many of their structural components. To recover energy efficiency from lower utilization, system architects resort to dynamic voltage frequency scaling (DVFS). In this paper, we demonstrate that dynamic adaptations using DVFS are markedly energy inefficient than techniques that design circuits ground up for lower performance. We propose a novel microarchitecture aware gate sizing and threshold voltage assignment algorithm to mitigate this current limitation. Our technique is the first of its kind that exploits architectural slack in gate sizing, and leverages on-chip redundancy and slack. We evaluate this circuit-architectural co-optimization framework in a superscalar processor by combining standard cell based gate sizing flows with state-of-the-art architectural simulation. Our results show 17–46% improvement in the datapath energy efficiency over traditional circuit designs incorporating DVFS schemes.
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