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Adaptive power gating for function units in a microprocessor

机译:微处理器中功能单元的自适应电源门控

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This paper describes adaptive fine-grain control to power gate function units based on temperature dependent break-even time (BET). An analytical model to express the temperature dependent BET is introduced and the accuracy of the model was examined. Results demonstrated that the model well represents the exponential decrease in BET with the temperature. Meanwhile, it was found that the accuracy gets worse at higher temperature and the cause is energy dissipation due to transient glitch at the wakeup. We propose four power-gating policies employing time-based or history-based approaches. Effectiveness in energy savings was evaluated using real design data of four function units in a microprocessor implemented in a 65 nm technology. Results showed that introducing adaptive control to make use of temperature-dependent BET enhances energy savings by up to 21% in the time-based approach and by up to 18% in the history-based approach. The adaptive history-based policy with a limiter outperforms the adaptive time-based policy in energy savings and reduces the total energy of four function units to 11.8% at 100°C as compared to the non-power-gating case.
机译:本文介绍了基于温度相关的收支平衡时间(BET)的功率门功能单元的自适应细粒度控制。引入了一个表示温度依赖的BET的分析模型,并检验了模型的准确性。结果表明,该模型很好地代表了BET随温度的指数下降。同时,发现在较高温度下精度会变差,并且原因是由于唤醒时的瞬态毛刺引起的能量耗散。我们提出了四种采用基于时间或基于历史的方法的门控策略。通过在以65 nm技术实现的微处理器中使用四个功能单元的实际设计数据来评估节能效果。结果表明,采用自适应控制来利用与温度有关的BET,基于时间的方法最多可节省21%的能量,而基于历史的方法最多可节省18%的能量。具有限制器的基于自适应历史记录的策略在节能方面优于基于时间的自适应策略,并且与非电源门控相比,在100°C时,四个功能单元的总能量减少到11.8%案子。

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