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An efficient power modeling approach for embedded memory using LIB format

机译:利用lib格式实现嵌入式内存的有效功率建模方法

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Embedded memories have been used extensively in modern SoC designs. In order to estimate the power consumption of entire design correctly, the more accurate memory power model is needed. However, the memory power model which is commonly used in commercial EDA tools is too simple to estimate the power consumption accurately. In this work, we propose two methods to improve the accuracy of memory power estimation. Our enhanced memory power model can consider the switching activity for both control and non-control signals thus can raise the accuracy of traditional memory power models. The proposed dummy modular approach links our enhanced memory power model to commercial power estimation flows. The experimental results have shown that our memory power model is more accurate than the traditional memory power model.
机译:嵌入式记忆已被广泛用于现代SoC设计。为了正确估计整个设计的功耗,需要更准确的内存功率模型。但是,通常用于商业EDA工具中的存储电源模型太简单,无法准确估计功耗。在这项工作中,我们提出了两种方法来提高内存功率估计的准确性。我们的增强型存储器功率模型可以考虑控制和非控制信号的开关活动,从而可以提高传统存储器电源模型的准确性。所提出的虚拟模块化方法将增强的内存功率模型链接到商业功率估计流程。实验结果表明,我们的存储器功率模型比传统的存储电源模型更准确。

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