首页> 中文期刊> 《计算机工程》 >功耗受限情况下多核处理器能效优化方案

功耗受限情况下多核处理器能效优化方案

         

摘要

将处理器功耗控制在预算以下有助于降低散热成本和提升系统稳定性,但现有功耗优化方案大多依赖线下分析得到的先验知识,影响实用性,而集中式搜索最优策略的算法也存在复杂度过高的问题.为此,提出功耗优化方案PPCM.利用动态电压频率调整(DVFS)技术控制CPU功耗在预算内以提高处理器能效.同时,将功耗控制和功耗分配解耦合以提高灵活性.采用动态调整的线性模型估计功耗,通过反馈控制技术对其进行调节.以计算访存比为指标在应用间分配功耗,并考虑多线程应用特征进行线程间功耗分配.实验结果表明,PPCM比Priority算法速度平均提高10.7%,能耗平均降低5.1%,能量-延迟积平均降低14.3%.与PCMCA算法相比,其速度平均提高4.5%,能量-延迟积平均降低5.0%.%Keeping processor power consumption under budget can reduce the cost of cooling and improve the system reliability.Most existing energy efficiency optimization schemes are profile-based offline schemes,which may reduce practicality.Furthermore,centralized algorithms which exhaustively search for the optimal configuration may be too complex.In this paper,a power consumption optimization scheme PPCM is proposed,which utilizes Dynamic Voltage and Frequency Scaling(DVFS) to control CPU power consumption under buidget and improve energy efficiency.PPCM decouples power consumption control and power consumption allocation to improve flexibility.It uses a dynamic linear model to estimate power consumption and manages it based on feedback control technology.It uses the ratio of computation to memory access as an indicator to allocate power consumption among applications,and then considers the features of multithread application and allocates power consumption among threads.Experimental results show that PPCM outperforms Priority algorithm by 10.7% in speed in average,5.1% in energy saving in average and Energy-Delay Product(EDP) is reduced by 14.3% in average.It is superior to PCMCA by 4.5% in speed in average and 5.0% in EDP in average.

著录项

相似文献

  • 中文文献
  • 外文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号