首页> 外文会议>2010 IEEE Symposium on Industrial Electronics Applications >Closed form modelling for delay and slew metrics for on-chip VLSI RC interconnect for ramp inputs using F-distribution
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Closed form modelling for delay and slew metrics for on-chip VLSI RC interconnect for ramp inputs using F-distribution

机译:使用F分布的斜坡输入的片上VLSI RC互连的延迟和转换指标的封闭形式建模

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Several approaches have been proposed for the accurate and efficient estimation of the on-chip interconnect delay and slew metrics. Moments of the impulse response are widely used for interconnect timing analysis, from the explicit Elmore delay (the first moment of the impulse response) expression, to moment matching methods which creates reduced order trans-impedance and transfer function approximations. However, the Elmore delay is fast becoming ineffective for deep submicron technologies, and reduced order transfer function delays are impractical for use as early phase design metrics or as design optimization cost functions. This paper describes a novel approach of fitting moments of the impulse response to probability density function, so that the interconnect delay and slew can be estimated accurately at an early physical design stage for both step and ramp input conditions. We have used Fisher-Snedecor distribution (F Distribution) to derive the delay and slew metrics for step as well as for ramp inputs. For RC trees it is demonstrated that the incomplete F function provides a probably stable approximation. The accuracy of our models is justified with the results obtained by using our approach, SPICE simulations and with that of the already established models. For calculations of both delay and slew, the relative error is less than 2 %.
机译:已经提出了几种方法来准确和有效地估计片上互连延迟和转换指标。脉冲响应的时刻被广泛用于互连时序分析,从显式的Elmore延迟(脉冲响应的第一时刻)表达式,到产生匹配的递减阻抗和传递函数近似的时刻匹配方法。然而,对于深亚微米技术,Elmore延迟正迅速变得无效,并且降低阶次传递函数延迟对于用作早期设计指标或设计优化成本函数是不切实际的。本文介绍了一种将脉冲响应的矩拟合到概率密度函数的新方法,以便可以在阶跃和斜坡输入条件的物理设计的早期阶段准确估算互连延迟和压摆。我们已经使用了Fisher-Snedecor分布(F分布)来导出阶跃以及斜坡输入的延迟和压摆指标。对于RC树,证明了不完全F函数可能提供了稳定的近似值。使用我们的方法,SPICE仿真以及已经建立的模型所获得的结果证明了我们模型的准确性。对于延迟和转换的计算,相对误差均小于2%。

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