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We propose a novel method to predict the worst-case noise using power distribution network impedance profile. Traditional target impedance method lacks of accuracy to estimate the worst-case noise. The convolution of impulse responses method can provide accurate noise prediction but cannot provide intuitive guidelines for the optimization. In this paper, we first analyze the ratio of the time-domain...
This paper addresses the modeling and analysis problems for power distribution networks (PDNs) in 3-D ICs. An on-chip distributed model is proposed for 3-D power grids, in which the details of metal layers are considered. The distributed model is demonstrated to be essential to identifying the unique noise behavior of 3-D PDNs. A lumped model is proposed based on the distributed model. The lumped...
Algorithms featuring fast and accurate estimation of worst-case eye diagram have been proposed to replace the time-consuming random bit simulation in channel design. However, when the interaction between nonlinear I/O circuits and power distribution network (PDN) noise is included, most of those approaches fail to maintain accuracy. Based on the superposition of multiple bit pattern responses (SMBP)...
In this paper, an efficient parallel flow for the design of the full power distribution network (PDN) is proposed. The analysis demonstrates the impact of the voltage regulator model in both frequency and time domain response. Based on the experimental results, it is observed that including the voltage regulator model in the PDN model increases the transient voltage drop and PDN response which need...
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