Near threshold cloud processors for dark silicon mitigation: the impact on emerging scale-out workloads

Jing Wang, Junwei Zhang, Wei-gong Zhang, Keni Qiu, Tao Li, Minhua Wu
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引用次数: 3

Abstract

The breakdown of Dennard scaling has made computing energy limited and therefore restricts the performance and brings rise to dark silicon. To effectively leverage the advantage of increased number of transistors and alleviate the dark silicon problem, designers consider a set of design paradigms in the processor manufacturing. Among those, Near - Threshold Voltage Computing (NTC) is a promising candidate. However, prior efforts largely focus on a specific design option based on legacy desktop applications, lacking comprehensive analysis of emerging scale-out applications with multiple design options. In this paper, we characterize different perspectives including performance and energy efficiency in the context of NTC cloud processors by running emerging scale-out workloads. We find NTC can improve performance by 1.6X, and improve energy efficiency by 50%. Meanwhile, we also show that tiled-OoO architecture improve performance of scale-out workloads upto 3.7X and energy efficiency upto 6X over alternative chip organizations, making it a preferable design paradigm for scale-out workloads. We believe that our observations will provide insights for the design of cloud processors in the era of dark silicon.
用于暗硅缓解的接近阈值的云处理器:对新兴横向扩展工作负载的影响
登纳德标度的破坏使得计算能量有限,从而限制了性能,并导致了暗硅的出现。为了有效地利用晶体管数量增加的优势,缓解暗硅问题,设计人员在处理器制造中考虑了一套设计范例。其中,近阈值电压计算(NTC)是一个很有前途的候选方法。然而,之前的工作主要集中在基于遗留桌面应用程序的特定设计选项上,缺乏对具有多种设计选项的新兴横向扩展应用程序的全面分析。在本文中,我们通过运行新兴的横向扩展工作负载,描述了不同的观点,包括NTC云处理器背景下的性能和能源效率。我们发现NTC可以将性能提高1.6倍,并将能源效率提高50%。同时,我们还表明,与其他芯片组织相比,平纹oo架构将扩展工作负载的性能提高了3.7倍,能源效率提高了6倍,使其成为扩展工作负载的首选设计范例。我们相信,我们的观察将为暗硅时代的云处理器设计提供见解。
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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