TSocket: Thermal Sustainable Power Budgeting

Guoqing Chen, Yi Xu, Xing Hu, Xiangyang Guo, Jun Ma, Yu Hu, Yuan Xie
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引用次数: 3

Abstract

As technology scales, thermal management for multicore architectures becomes a critical challenge due to increasing power density. Existing power budgeting techniques focus on maximizing performance under a given power budget by optimizing the core configurations. In multicore era, a chip-wide power budget, however, is not sufficient to ensure thermal constraints because the thermal sustainable power capacity varies with different threading strategies and core configurations. In this article, we propose two models to dynamically estimate the thermal sustainable power capacity in homogeneous multicore systems: uniform power model and nonuniform power model. These two models convert the thermal effect of threading strategies and core configurations into power capacity, which provide a context-based core power capacity for power budgeting. Based on these models, we introduce a power budgeting framework aiming to improve the performance within thermal constraints, named as TSocket. Compared to the chip-wide power budgeting solution, TSocket shows 19% average performance improvement for the PARSEC benchmarks in single program scenario and up to 11% performance improvement in multiprogram scenario. The performance improvement is achieved by reducing thermal violations and exploring thermal headrooms.
TSocket:热可持续电力预算
随着技术的扩展,由于功率密度的增加,多核架构的热管理成为一个关键的挑战。现有的功率预算技术侧重于通过优化核心配置来实现给定功率预算下的性能最大化。然而,在多核时代,芯片范围内的功率预算不足以保证热约束,因为不同的线程策略和内核配置的热可持续功率容量是不同的。本文提出了均匀多核系统热可持续发电容量动态估计的两种模型:均匀功率模型和非均匀功率模型。这两个模型将线程策略和核心配置的热效应转化为功率容量,为电力预算提供了基于上下文的核心功率容量。基于这些模型,我们引入了一个功率预算框架,旨在提高热约束下的性能,称为TSocket。与芯片范围的功耗预算解决方案相比,TSocket在单程序场景下的PARSEC基准测试中平均性能提高了19%,在多程序场景下性能提高了11%。性能的提高是通过减少热干扰和探索热净空来实现的。
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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