Mostrar registro simples

dc.contributor.advisorBecerra-López, Fernando I.
dc.contributor.authorFlores-Jiménez, Yared I.
dc.date.accessioned2023-11-30T23:10:33Z
dc.date.accessioned2024-02-27T18:48:02Z
dc.date.available2023-11-30T23:10:33Z
dc.date.available2024-02-27T18:48:02Z
dc.date.issued2023-11
dc.identifier.citationFlores-Jiménez, Y. I. (2023). Solución de predicción de temperaturas usando datos de un simulador térmico. Trabajo de obtención de grado, Maestría en Ciencia de Datos. Tlaquepaque, Jalisco: ITESO.es_MX
dc.identifier.urihttps://hdl.handle.net/20.500.12032/122261
dc.descriptionThe industry of integrated circuits is experiencing a moment of fierce change. As is, the methods used in all stages implied in its design process. The present work presents a method to predict temperatures for System on Chip (SoC) chiplet part with quite simple power map and a single thermal interface material using Machine Learning (ML) and its offspring Deep Learning (DL). The SoC part is represented as a response surface of a 2D model geometry surface used for a set of experiments to determine the relevant factors for the temperature prediction. In addition to the experiment design, a deployment strategy to implement a continuous integration and deployment process to be used for the target organization is also proposed. The idea is to achieve the principle of productive ML that states that models should be constantly learning by automating new data ingestion into the training process to enhance model performance in each of the cycle updates. The project proposes a method to strengthen the established thermal processes of the target organization by using ML tools and provide an alternative to speed up thermal model analysis using new available techniques derived from ML and Deep Learning.es_MX
dc.language.isoenges_MX
dc.publisherITESOes_MX
dc.rights.urihttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdfes_MX
dc.subjectTemperaturees_MX
dc.subjectSimulationes_MX
dc.subjectSimuladores_MX
dc.subjectData Analysises_MX
dc.subjectSystem on Chipes_MX
dc.subjectDoEes_MX
dc.titleSolución de predicción de temperaturas usando datos de un simulador térmicoes_MX
dc.typeinfo:eu-repo/semantics/masterThesises_MX


Arquivos deste item

ArquivosTamanhoFormatoVisualização
tesis_solución_ ... e_un_simulador_térmico.pdf2.757Mbapplication/pdfVisualizar/Abrir

Este item aparece na(s) seguinte(s) coleção(s)

Mostrar registro simples


© AUSJAL 2022

Asociación de Universidades Confiadas a la Compañía de Jesús en América Latina, AUSJAL
Av. Santa Teresa de Jesús Edif. Cerpe, Piso 2, Oficina AUSJAL Urb.
La Castellana, Chacao (1060) Caracas - Venezuela
Tel/Fax (+58-212)-266-13-41 /(+58-212)-266-85-62

Nuestras redes sociales

facebook Facebook

twitter Twitter

youtube Youtube

Asociaciones Jesuitas en el mundo
Ausjal en el mundo AJCU AUSJAL JESAM JCEP JCS JCAP