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Proceedings ArticleDOI

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

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TLDR
This paper provides a generic formulation for decoupling capacitor selection and placement problem which is solved by mixed-integer programming.
Abstract
Power Integrity is maintained in a high speed system by designing an efficient decoupling network This paper provides a generic formulation for decoupling capacitor selection and placement problem which is solved by mixed-integer programming A real-world example is presented for the same The minimum number of capacitors that could achieve the target impedance over the desired frequency range are found along with their optimal locations In order to solve an industrial problem, the s-parameters data of power plane geometry and capacitors are used for the accurate analysis including bulk capacitors and VRM

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Citations
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Journal ArticleDOI

Multiport PDN Optimization With the Newton–Hessian Minimization Method

TL;DR: 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.
Proceedings ArticleDOI

Metaheuristic Optimization of Decoupling Capacitors in a Power Delivery Network

TL;DR: In this paper, a metaheuristic technique based generic framework for decoupling capacitor optimization in a practical power delivery network is presented, where the cumulative impedance of a power delivery system is minimized below the target impedance by optimal selection and placement of decoupled capacitors using state-of-the-art meta-heuristic algorithms.

Computational Intelligence Based Selection and Placement of Decoupling Capacitors: A Comparative Study

TL;DR: This paper presents a computational intelligence based generic framework to solve the industrial problem of decoupling capacitor optimization in a practical power delivery network using metaheuristic algorithms.
Journal ArticleDOI

Computational Intelligence Based Selection and Placement of Decoupling Capacitors: A Comparative Study

TL;DR: In this paper , a computational intelligence-based generic framework is presented to solve the industrial problem of decoupling capacitor optimization in a practical power delivery network using metaheuristic algorithms.
References
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Journal ArticleDOI

Mixed-integer nonlinear optimization

TL;DR: An emerging area of mixed-integer optimal control that adds systems of ordinary differential equations to MINLP is described and a range of approaches for tackling this challenging class of problems are discussed, including piecewise linear approximations, generic strategies for obtaining convex relaxations for non-convex functions, spatial branch-and-bound methods, and a small sample of techniques that exploit particular types of non- Convex structures to obtain improved convex Relaxations.
Book

Power Integrity Modeling and Design for Semiconductors and Systems

TL;DR: This book's system-level focus and practical examples will make it indispensable for every student and professional concerned with power integrity, including electrical engineers, system designers, signal integrity engineers, and materials scientists.
Journal ArticleDOI

Efficient In-Package Decoupling Capacitor Optimization for I/O Power Integrity

TL;DR: It is shown that impedance metric leads to large overdesign and then a noise-driven optimization algorithm for decoupling capacitors in packages for power integrity is developed and reduced by 3times and more than 10times faster even with explicit noise computation.
Journal ArticleDOI

GA-optimized decoupling capacitors damping the rectangular power-bus' cavity-mode resonances

TL;DR: In this article, the authors proposed a GA to find the decoupling capacitors for suppressing the cavity-mode resonances in the printed circuit board power-bus structure, where the optimal positions and circuital values of decoupled capacitors are efficiently determined to selectively mitigate specific resonance peaks.
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