基于选择性基因治疗的遗传算法的电源噪声抑制时钟调度

Wai-Ching Douglas Lam, Cheng-Kok Koh, C. Tsao
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引用次数: 16

摘要

时钟线中的同时开关事件以及顺序和组合逻辑元件的几乎同时开关事件在电路的电源和地网络中引起大的L/spl、中点/di/dt和IR电压变化。这就是所谓的电源噪声,它会影响整个电路的性能和可靠性。在本文中,我们提出了一种基于遗传算法的时钟调度方法,以减少同时开关事件的数量,从而抑制电源噪声。我们确保在任何一代遗传算法过程中,通过使用基因治疗,基因库中都存在可行的时钟时间表。在基准电路上的实验结果表明,峰值电流平均降低26.2%,电流摆幅平均降低37.9%,电力线电压变化平均降低46.2%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clock scheduling for power supply noise suppression using genetic algorithm with selective gene therapy
Simultaneous switching events in the clock lines and almost simultaneous switching events of sequential and combinational logic elements cause large L/spl middot/di/dt and IR voltage variations in the power and ground network of a circuit. This is known as power supply noise and it affects the performance and reliability of the entire circuit. In this paper, we propose a genetic algorithm based clock scheduling approach for minimizing the number of simultaneous switching events such that the power supply noise is suppressed. We ensure that in any generation of the genetic algorithm process, there will be feasible clock schedules present in the gene pool by the use of gene therapy. Experimental results on benchmark circuits show an average reduction of 26.2% in the peak current, an average reduction of 37.9% in the current swing, and an average reduction of 46.2% in voltage variations in the power lines.
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