An efficient power modeling approach for embedded memory using LIB format
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.