Voltage drop reduction for on-chip power delivery considering leakage current variations

Jeffrey Fan, N. Mi, S. Tan
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引用次数: 6

Abstract

In this paper, we propose a novel on-chip voltage drop reduction technique for on-chip power delivery networks of VLSI systems in the presence of variational leakage current sources. The new method inserts decoupling capacitors (decaps) into the power grid networks to reduce the voltage fluctuation. The optimization is based on sensitivity-based conjugate gradientmethod and sequence of linear programming approach. Different from existing power grid noise reduction methods, the new approach considers the impacts of inter-die and intra-die variational leakage current sources due to unavoidable process variability during the decap optimization process for the first time. Leakage currents, which although are static in nature typically, can still add to the total voltage drops and dynamic voltage reduction thus must consider the leakage-induced voltage variations. The proposed algorithm exploits the relative constant variations for different decap configurations of power grid circuits to speed up the statistical optimization process. Decaps can be inserted in such a way that the resulting circuits have much higher probability to meet the voltage drop constraints in the presence of leakage current variations. Experimental results demonstrate the effectiveness of the proposed approach and show that the new method has 100X to 1,000X of speedup over the Monte Carlo based statistical decap optimization method.
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考虑泄漏电流变化的片上供电电压降降低
在本文中,我们提出了一种新的片上压降降低技术,用于存在变漏电流源的超大规模集成电路系统的片上供电网络。该方法通过在电网中插入去耦电容器来减小电压波动。优化方法采用基于灵敏度的共轭梯度法和序列线性规划方法。与现有电网降噪方法不同的是,该方法首次考虑了封装优化过程中不可避免的工艺变异性对模间和模内变漏电流源的影响。泄漏电流虽然通常是静态的,但仍然会增加总电压降和动态电压降低,因此必须考虑泄漏引起的电压变化。该算法利用了电网电路不同电容配置的相对常数变化,加快了统计优化过程。可以这样一种方式插入deccap,使得在所得到的电路在存在漏电流变化的情况下具有更高的概率满足压降约束。实验结果证明了该方法的有效性,并表明该方法比基于蒙特卡罗的统计decap优化方法的速度提高了100到1000倍。
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Compiler-assisted architectural support for program code integrity monitoring in application-specific instruction set processors Improving the reliability of on-chip data caches under process variations Analytical thermal placement for VLSI lifetime improvement and minimum performance variation Why we need statistical static timing analysis Voltage drop reduction for on-chip power delivery considering leakage current variations
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