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.read more
Citations
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Journal ArticleDOI
Transformer Network-Based Reinforcement Learning Method for Power Distribution Network (PDN) Optimization of High Bandwidth Memory (HBM)
HyunWook Park,Minsu Kim,Seongguk Kim,Keunwoo Kim,Haeyeon Kim,Taein Shin,Keeyoung Son,Boogyo Sim,Subin Kim,Seung-Yong Jeong,Chulsoon Hwang,Joungho Kim +11 more
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
Ihsan Erdin,Ramachandra Achar +1 more
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 on Resonant Parallel-Plates Via Driving Point Impedance
Ihsan Erdin,Ramachandra Achar +1 more
TL;DR: In this article, a semi-analytical method is proposed to evaluate the effectiveness of a decoupling capacitor on resonant power and ground planes, which yields the effective distance as well as the angle between a decouple capacitor and a power pin.
Proceedings ArticleDOI
Damping the cavity-mode anti-resonances' peaks on a power plane by swarm intelligence algorithms
TL;DR: To maintain power integrity in a high speed system, an effective methodology for suppressing the cavity-mode anti-resonances' peaks is presented and optimal values and locations of decoupling capacitors are obtained.
Journal ArticleDOI
Decoupling capacitors selection algorithm based on maximum anti-resonance points and quality factor of capacitor
TL;DR: In this paper, a decoupling capacitors selection algorithm based on maximum anti-resonance points of the power distribution network and the quality factor (Q) of the capacitor is proposed.
Proceedings ArticleDOI
Placement of decoupling capacitor on packages based on effective decoupling radius
Jim Wang,Jianmin Lu,Yushan Li +2 more
TL;DR: In this article, a modeling method based on the resonant cavity for the power/ground plane with decoupling capacitors in the high speed packages is presented to characterize the limited decoupled region within which the impedance is smaller than the target impedance.
Journal ArticleDOI
Radiated EMC Kron's Model of 3-D Multilayer PCB Aggressed by Broadband Disturbance
TL;DR: In this paper, the authors proposed a novel modeling of radiated electromagnetic compatibility (EMC) coupling onto the multilayer printed circuit board (PCB), which integrates the electromagnetic (EM) emission, Taylor's, and field-to-interconnect coupling models.
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