Author(s):
Goes, J. 
; Santos-Tavares, R. ; Paulino, N. ; Higino, J. ; Oliveira, J. P.
Date: 2008
Persistent ID: http://hdl.handle.net/10362/4058
Origin: Repositório Institucional da UNL
Document details
Optimization of multi-stage amplifiers in deep-submicron CMOS using a distribut...
Description
IEEE International Symposium on Circuits and Systems, pp. 724 – 727, Seattle, EUA This paper presents a framework for time-domain optimization of amplifiers employing a parallel genetic algorithm based on a message passing interface. This methodology achieves a considerable reduction in the optimization time (up to 19 times faster than a serial implementation). Increasing the processing capacity allows searching within a larger design space using complex transistors models, yielding more accurate results. The optimization, based on transient simulations, is possible due to the integration of a genetic algorithm optimizer together with the open-source simulator NGSPICE source-code.
IEEE International Symposium on Circuits and Systems, pp. 724 – 727, Seattle, EUA This paper presents a framework for time-domain optimization of amplifiers employing a parallel genetic algorithm based on a message passing interface. This methodology achieves a considerable reduction in the optimization time (up to 19 times faster than a serial implementation). Increasing the processing capacity allows searching within a larger design space using complex transistors models, yielding more accurate results. The optimization, based on transient simulations, is possible due to the integration of a genetic algorithm optimizer together with the open-source simulator NGSPICE source-code.
Document Type
Research paper
Language English
Language English
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