1. Repositório Aberto da Universidade do Porto
2. FEUP - Faculdade de Engenharia
3. FEUP - Dissertação

Author(s):	Tiago da Costa Abreu
Title:	Optimization Design Flow of Integrated Circuits based on Machine Learning Approaches
Issue Date:	2019-07-03
Description:	Nowadays, the increased complexity of analog/digital circuits and the extremelly wide range of specifications tend to change how an integrated-circuit designer addresses circuit optimization. A traditional analog engineer likes to use some intuition when designing circuits, as a second step following paper-pencil analysis. However, the numerous parameters that influence the circuit IV in modern transistors do not provide good guesses. Moreover, an optimization based on multiple parameter sweep helps only when the design space is reduced, which is not the case in modern designs. The present thesis, developed at INTEL (in Munich site, Germany), addresses new paradigms of circuit optimization. The proposed work relies on the use of machine learning techniques applied to the design of complex CMOS systems.
Subject:	Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering
Scientific areas:	Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática Engineering and technology::Electrical engineering, Electronic engineering, Information engineering
DOI:	10.34626/4gn6-9102
TID identifier:	202398137
URI:	https://hdl.handle.net/10216/122471
Document Type:	Dissertação
Rights:	openAccess
Appears in Collections:	FEUP - Dissertação

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