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Self-calibrating processor speed: A new feedback loop for dynamic voltage scaling control.

机译:自校准处理器速度:用于动态电压缩放控制的新反馈环路。

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摘要

The benefit of dynamic voltage scaling (DVS) is related to how compute-bound a workload is. The more time a processor stalls, the more a workload can be slowed down without incurring a proportional performance loss. However, determining a measure of "compute-boundedness" is not trivial; this property has often been inferred from secondary effects, such as cache miss rates.;We have developed a new mechanism for extrapolating compute-boundedness from minute variations of processor speed. By adjusting the processor speed by just a small amount, and extrapolating from the difference in execution cycles, we can precisely estimate a workload's execution time at any processor speed.;Moreover, simulation results suggest that a frequency step can be considerably smaller than the hundreds of megahertz that is offered by the current DVS-enabled processors. In fact, by adjusting the processor speed by as little as tens of megahertz, we can accurately predict what would be the execution times if the speed were adjusted by several hundreds of megahertz. This leads to a lightweight approach to CPU clock scaling called the self-calibrating feedback loop: while a workoad is executing, adjust the processor speed by just a little to quickly assess how compute-bounded the workload is, then decide on the optimal processor speed.
机译:动态电压缩放(DVS)的好处与工作负载的计算限制程度有关。处理器停顿的时间越长,可以减轻工作负载的速度就越多,而不会造成成比例的性能损失。但是,确定“计算边界”的度量并非易事;此属性通常是由诸如缓存未命中率之类的次要影响推断出来的。我们已经开发了一种新机制,可以根据处理器速度的微小变化来推断计算边界。通过少量调整处理器速度,并从执行周期的差异中推断出,我们可以精确地估计任何处理器速度下工作负载的执行时间。此外,仿真结果表明,频率步幅可以大大小于数百倍当前支持DVS的处理器提供的兆赫数。实际上,通过将处理器速度调整至几十兆赫兹,我们可以准确地预测如果将速度调整几百兆赫兹,执行时间将是多少。这导致了一种轻量级的CPU时钟缩放方法,称为自校准反馈循环:在执行工作指令时,只需稍微调整一下处理器速度即可快速评估受计算限制的工作负载的程度,然后确定最佳处理器速度。

著录项

  • 作者

    Venkatachalam, Vasanth.;

  • 作者单位

    University of California, Irvine.;

  • 授予单位 University of California, Irvine.;
  • 学科 Computer Science.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 145 p.
  • 总页数 145
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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