Analysis and design of power delivery networks exploiting simulation tools and numerical optimization techniques

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dc.contributor.advisorRayas-Sánchez, José E.
dc.contributor.authorMercado-Casillas, Benjamín
dc.date.accessioned2021-02-11T21:07:56Z
dc.date.available2021-02-11T21:07:56Z
dc.date.issued2021-02
dc.descriptionA higher performance of computing systems is being demanded year after year, driving the digital industry to fiercely compete for offering the fastest computer system at the lowest cost. In addition, as computing system performance is growing, power delivery networks (PDN) and power integrity (PI) designs are getting increasingly more relevance due to the faster speeds and more parallelism required to obtain the required performance growth. The largest data throughput at the lowest power consumption is a common goal for most of the commercial computing systems. As a consequence of this performance growth and power delivery tradeoffs, the complexity involved in analyzing and designing PDN in digital systems is being increased. This complexity drives longer design cycle times when using traditional design tools. For this reason, the need of using more efficient design methods is getting more relevance in order to keep designing and launching products in a faster manner to the market. This trend pushes PDN designers to look for methodologies to simplify analysis and reduce design cycle times. The main objective for this Master’s thesis is to propose alternative methods by exploiting reliable simulation approaches and efficient numerical optimization techniques to analyze and design PDN to ensure power integrity. This thesis explores the use of circuital models and electromagnetic (EM) field solvers in combination with numerical optimization methods, including parameter extraction (PE) formulations. It also establishes a sound basis for using space mapping (SM) methodologies in future developments, in a way that we exploit the advantages of the most accurate and powerful models, such as 3D full-wave EM simulators, but conserving the simplicity and low computational resourcing of the analytical, circuital, and empirical models.es_MX
dc.identifier.citationMercado-Casillas, B. (2021). Analysis and design of power delivery networks exploiting simulation tools and numerical optimization techniques. Trabajo de obtención de grado, Maestría en Diseño Electrónico. Tlaquepaque, Jalisco: ITESO.es_MX
dc.identifier.urihttps://hdl.handle.net/11117/6481
dc.language.isoenges_MX
dc.publisherITESOes_MX
dc.rights.urihttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdfes_MX
dc.subjectPower Distribution Networkes_MX
dc.subjectPower Integrityes_MX
dc.subjectPower Deliveryes_MX
dc.subjectDistributed Modeles_MX
dc.subjectLumped Modeles_MX
dc.titleAnalysis and design of power delivery networks exploiting simulation tools and numerical optimization techniqueses_MX
dc.typeinfo:eu-repo/semantics/masterThesises_MX
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones_MX

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