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Models and algorithms for bounds on leakage in CMOS circuits

机译:CMOS电路中泄漏边界的模型和算法

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摘要

Subthreshold leakage current in deep submicron MOS transistors is becoming a significant contributor to power dissipation in CMOS circuits as threshold voltages and channel lengths are reduced. Consequently, estimation of leakage current and identification of minimum and maximum leakage conditions are becoming important, especially in low power applications. In this paper we outline methods for estimating leakage at the circuit level and then propose heuristic and exact algorithms to accomplish the same task for random combinational logic. In most cases the heuristic is found to obtain bounds on leakage that are close and often identical to bounds determined by a complete branch and bound search. Methods are also demonstrated to show how estimation accuracy can be traded off against execution time. The proposed algorithms have potential application in power management applications or quiescent current (I/sub D/DQ) testing if one wished to control leakage by application of appropriate input vectors. For a variety of benchmark circuits, leakage was found to vary by as much as a factor of six over the space of possible input vectors.
机译:随着阈值电压和沟道长度的减小,深亚微米MOS晶体管中的亚阈值泄漏电流正成为CMOS电路功耗的重要因素。因此,泄漏电流的估计以及最小和最大泄漏条件的识别变得很重要,特别是在低功率应用中。在本文中,我们概述了在电路级估计泄漏的方法,然后提出了启发式算法和精确算法来完成随机组合逻辑的相同任务。在大多数情况下,发现启发式方法可以找到泄漏的边界,这些边界很接近,并且通常与完全分支和边界搜索确定的边界相同。还演示了方法,以显示如何可以在执行时间与评估精度之间进行权衡。如果有人希望通过应用适当的输入矢量来控制泄漏,则所提出的算法在电源管理应用或静态电流(I / sub D / DQ)测试中具有潜在的应用。对于各种基准电路,发现泄漏在可能的输入向量空间上变化了六倍。

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