A programmable power ground network optimization flow aiming at IR-drop reduction

Jiansong Gong, Xiaoxiao Wang, Songhao Ru, D. Su
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Abstract

The maximum operation frequency of integrated circuits (ICs) has reached multiple Giga Hertz. When a large number of transistors switch at the same time, high current consumption is generated. The parasitic resistance of the power ground network (PGN) combining with the high current consumption, generate significant IR-drop. This paper presents a novel PGN optimization flow, which can monitor the peak IR-drop and optimize PNG according to the demand of users. The novel flow has been implemented in Synopsys 28nm technology. When IR-drop constraints are given by users, the flow can quickly calculate out PNG optimization result. It has been proved that the presented optimization flow can measure IR-drop value accurately and optimize PGN in a short time. Experimental results demonstrate that the method has high consistency with EDA tools optimization result. IR-drop calculation error only ranges from 2% to 4%. Besides, the time consumption in this novel optimization flow is reduced 90% of the current optimization flow at least. The operation only takes one action step to complete.
一种以降低红外降为目标的可编程电力地网优化流程
集成电路(ic)的最高工作频率已达到数千兆赫兹。当大量晶体管同时开关时,会产生很大的电流消耗。电力地网(PGN)的寄生电阻与大电流消耗相结合,产生显著的ir降。本文提出了一种新的PGN优化流程,该流程可以监测峰值ir下降,并根据用户需求优化PNG。新工艺已在Synopsys 28纳米技术中实现。当用户给出IR-drop约束条件时,该流程可以快速计算出PNG优化结果。实践证明,本文提出的优化流程能够准确测量红外降值,并能在短时间内对PGN进行优化。实验结果表明,该方法与EDA工具优化结果具有较高的一致性。IR-drop计算误差仅在2% ~ 4%之间。此外,该优化流程的时间消耗至少减少了当前优化流程的90%。该操作只需要一个操作步骤即可完成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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