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Statistical leakage minimization through joint selection of gate sizes, gate lengths and threshold voltage

机译:通过联合选择栅极尺寸,栅极长度和阈值电压,将统计泄漏降至最低

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This paper proposes a novel methodology for statistical leakage minimization of digital circuits. A function of mean and variance of the circuit leakage is minimized with constraint on α-percentile of the delay using physical delay models. Since the leakage is a strong function of the threshold voltage and gate length, considering them as design variables can provide significant amount of power savings. The leakage minimization problem is formulated as a multivariable convex optimization problem. We demonstrate that statistical optimization can lead to more than 37% savings in nominal leakage compared to worst-case techniques that perform only gate sizing.
机译:本文提出了一种用于数字电路统计泄漏最小化的新颖方法。使用物理延迟模型,通过限制延迟的α-百分率,可以最小化电路泄漏的均值和方差函数。由于泄漏是阈值电压和栅极长度的重要函数,因此将其视为设计变量可以节省大量功率。泄漏最小化问题被表述为多变量凸优化问题。我们证明,与仅执行门大小调整的最坏情况技术相比,统计优化可以节省37%的标称泄漏。

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