Statistical design of macro-models for RT-level power evaluation

Qing Wu, Chih-Shun Ding, Cheng-Ta Hsieh, Massoud Pedram
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引用次数: 21

Abstract

This paper introduces the notion of cycle-accurate macro-models for RT-level power evaluation. These macro-models provide us with the capability to estimate the circuit power dissipation cycle by cycle at RT-level without the need to invoke low level simulations. The statistical framework allows us to compute the error interval for the predicted value from the user specified confidence level. The proposed macro-model generation strategy has been applied to a number of RT-level blocks and detailed results and comparisons are provided.
rt水平功率评价宏观模型的统计设计
本文介绍了周期精确宏观模型的概念,用于rt级功率评估。这些宏观模型为我们提供了在rt级上按周期估计电路功耗周期的能力,而无需调用低电平模拟。统计框架允许我们从用户指定的置信水平计算预测值的误差区间。提出的宏观模型生成策略已应用于许多rt级块,并提供了详细的结果和比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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