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Journal ArticleDOI

Multiport PDN Optimization With the Newton–Hessian Minimization Method

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TLDR
In this paper, an optimization algorithm using the Hessian minimization method, based on the Newton iteration, is proposed to evaluate the effectiveness of the placement of multiple decoupling capacitors on a power/ground plane pair.
Abstract
This article proposes an optimization algorithm using the Hessian minimization method, based on the Newton iteration, to evaluate the effectiveness of the placement of multiple decoupling capacitors on a power/ground plane pair. The exact effective decoupling regions are obtained using the Newton iteration method for each decoupling capacitor. The impedance of the IC port is lower than the target impedance no matter where the decoupling capacitor is placed in this region. To optimize specific capacitor placements in this region, the Newton iteration, based on the Hessian matrix, is used to determine the location where the impedance of the IC port is minimized at the antiresonant frequency of the plane pair. This placement optimization algorithm allows for a decoupling design method that can also be applied to a PDN with multiple decoupling capacitors for multiple IC ports. Compared with the method of random selection from within the effective decoupling area, the method proposed here requires fewer decoupling capacitors and less computational time.

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Citations
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Journal ArticleDOI

Transformer Network-Based Reinforcement Learning Method for Power Distribution Network (PDN) Optimization of High Bandwidth Memory (HBM)

TL;DR: The proposed transformer network-based reinforcement learning method for power distribution network (PDN) optimization of high bandwidth memory (HBM) can provide an optimal decoupling capacitor (decap) design to maximize the reduction of PDN self- and transfer impedance seen at multiple ports.
Journal ArticleDOI

Transformer Network-Based Reinforcement Learning Method for Power Distribution Network (PDN) Optimization of High Bandwidth Memory (HBM)

TL;DR: In this paper , a transformer network-based reinforcement learning (RL) method for power distribution network (PDN) optimization of high bandwidth memory (HBM) is proposed, which can provide an optimal decoupling capacitor (decap) design to maximize the reduction of PDN self- and transfer impedances seen at multiple ports.
Journal ArticleDOI

MCB-DPO: Multiport Constrained Barrier Method-Based Decoupling Capacitor Placement Optimization on Irregularly Shaped Planes

TL;DR: In this article , a multi-port constrained optimization methodology is presented for the optimal placement of decoupling capacitors in power distribution networks (PDNs) of printed circuit boards (PCBs).
Journal ArticleDOI

Trade-Off-Oriented Impedance Optimization of Chiplet-Based 2.5-D Integrated Circuits With a Hybrid MDP Algorithm for Noise Elimination

TL;DR: In this article , a new hybrid metaheuristic algorithm named Metropolis-based differential particle swarm optimization (MDP) is designed to jointly optimize the multiconstraints and impedance-based hybrid objective function of chiplet-based 2.5D integrated circuit (IC) designs.
Journal ArticleDOI

Trade-Off-Oriented Impedance Optimization of Chiplet-Based 2.5-D Integrated Circuits With a Hybrid MDP Algorithm for Noise Elimination

TL;DR: In this paper , a new hybrid metaheuristic algorithm named Metropolis-based differential particle swarm optimization (MDP) is designed to jointly optimize the multiconstraints and impedance-based hybrid objective function of chiplet-based 2.5D integrated circuit (IC) designs.
References
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Journal ArticleDOI

Decoupling Capacitor Placement in Power Delivery Networks Using MFEM

TL;DR: In this article, a genetic algorithm is used for the selection and placement of decoupling capacitors in a power distribution network (PDN) to reduce the effort expended by the complex task of capacitance placement.
Proceedings ArticleDOI

Optimum placement of decoupling capacitors on packages and printed circuit boards under the guidance of electromagnetic field simulation

TL;DR: In this paper, an efficient signal integrity analysis technique for simulating voltage fluctuations on power/ground planes in complex packaging structures is presented, where the value, the number and the location of the decoupling capacitor placed on packages or printed circuit boards can be evaluated.
Journal ArticleDOI

Special Issue on PCB Level Signal Integrity, Power Integrity, and EMC

TL;DR: In this paper, the authors highlight recent significant advancements and innovations related to printed circuit board (PCB) signal integrity (SI), power integrity (PI), electromagnetic emission and susceptibility modeling, design, and measurement technologies.
Proceedings ArticleDOI

The effect of decoupling capacitor distance on printed circuit boards using both frequency and time domain analysis

TL;DR: In this article, the effect of decoupling capacitor distance on the amount of EMI noise created at an IC's power pin was investigated and it was shown that the amplitude of the noise is increased if the capacitor has been attached to the printed circuit board (PCB) with a low inductance connection.
Proceedings ArticleDOI

Automatic package and board decoupling capacitor placement using genetic algorithms and M-FDM

TL;DR: An automatic capacitor placement optimization method that relies on a genetic algorithm to provide a stochastic search of the design space, while employing an efficient core PDN simulator based on the multi-layer finite difference method (M-FDM).
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