scispace - formally typeset
Journal ArticleDOI

Multiport PDN Optimization With the Newton–Hessian Minimization Method

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.

read more

Citations
More filters
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
More filters
Proceedings ArticleDOI

Decoupling network optimization in high speed systems by mixed-integer programming

TL;DR: This paper provides a generic formulation for decoupling capacitor selection and placement problem which is solved by mixed-integer programming.
Proceedings ArticleDOI

Decoupling-capacitor allocation problem solved by genetic algorithm

TL;DR: The GA is applied to the decoupling capacitors allocation problem, and a novel chromosome suits to the power plain structure is proposed, and GA successfully obtains an effective solution that decrease the strongest impedance less than half of that in the conventional allocation.
Proceedings ArticleDOI

Analytical Modeling of Power Pin Impedance in Parallel Power & Ground Planes

TL;DR: In this article, an analytical model is developed for the driving point impedance of a power pin for the evaluation of a decoupling capacitor's effectiveness and a generic design rule is proposed for the placement of decoupled capacitors on parallel-plates.
Related Papers (5)