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首页> 外文期刊>Journal of Low Power Electronics >An Effective Combinatorial Algorithm for Gate-Level Threshold Voltage Assignment
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An Effective Combinatorial Algorithm for Gate-Level Threshold Voltage Assignment

机译:门级阈值电压分配的有效组合算法

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摘要

We study the problem of sub-threshold leakage current optimization using dual threshold voltages under timing constraints. We present time budgeting as a methodology to perform implementation selection through which, we assign design components to specific threshold voltages to maximize leakage savings. We discuss several well-known formulations of time budgeting, and present a theoretical approach that can optimally and in polynomial time solve those problems under consecutive integer delay choices. This technique is further extended to perform very efficient implementation selection from a library of components with arbitrary integer delay choices. Experimental results show that our algorithm reduces the leakage current by close to an order of magnitude, with no or negligible delay penalty. Our algorithm outperforms the leakage savings of a recent LP-based competitor by 33%. More importantly, our results approach the theoretical limits of leakage savings using dual and multiple threshold voltages that are derived using Mixed Integer Linear Programming (MILP) formulation of the problem. On average, our results are only 0.74% worse than the optimal solutions, while our algorithm runs about 73 times faster than GNU MILP solver.
机译:我们研究了在时序约束下使用双阈值电压优化亚阈值泄漏电流的问题。我们将时间预算作为执行选择的一种方法,通过该方法,我们将设计组件分配给特定的阈值电压,以最大程度地节省泄漏。我们讨论了几种著名的时间预算公式,并提出了一种可以在多项式时间内最优地解决连续整数延迟选择下的问题的理论方法。该技术进一步扩展为从具有任意整数延迟选择的组件库中执行非常有效的实现选择。实验结果表明,我们的算法将泄漏电流降低了近一个数量级,延迟损失没有或可忽略不计。我们的算法比最近的基于LP的竞争对手的泄漏节省性能高33%。更重要的是,我们的结果使用问题的混合整数线性规划(MILP)公式得出的双阈值电压和多阈值电压接近了节省泄漏的理论极限。平均而言,我们的结果仅比最佳解决方案差0.74%,而我们的算法的运行速度比GNU MILP求解器快73倍。

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