Probabilistic bottom-up RTL power estimation

R. Ferreira, Anne-Marie Trullemans-Anckaert, José C. Costa, J. Monteiro
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引用次数: 6

Abstract

We address the problem of power estimation at the register-transfer level (RTL). At this level, the circuit is described in terms of a set of interconnected memory elements and combinational modules of different degrees of complexity. We propose a bottom-up approach to create a simplified high-level model of the block behavior for power estimation, which is described by a symbolic local polynomial. We use an efficient gate-level modeling based on the polynomial simulation method and ZBDDs. We present a set of experimental results that show a large improvement in performance and robustness when compared to previous approaches.
概率自底向上RTL功率估计
我们解决了在寄存器-传输级(RTL)的功率估计问题。在这个层次上,电路被描述为一组相互连接的存储元件和不同复杂程度的组合模块。我们提出了一种自底向上的方法来创建一个简化的用于功率估计的块行为高级模型,该模型由符号局部多项式描述。我们使用基于多项式仿真方法和zbdd的高效门级建模。我们提出了一组实验结果,表明与以前的方法相比,性能和鲁棒性有了很大的提高。
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