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Design of a MCML gate library applying multiobjective optimization

  • Roberto Pereira-Arroyo
  • , Pablo Alvarado-Moya
  • , Wolfgang H. Krautschneider

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In this paper, the problem of sizing MOS Current Mode Logic (MCML) circuits is addressed. The Pareto front is introduced as a useful analysis tool to explore the design space of each gate that is part of our MCML basic library. A genetic algorithm (GA) is employed to automatically detect this front in a process that efficiently finds optimal parameterizations and their corresponding values in an aggregate fitness space. Measures of the power consumption, propagation delay and output voltage swing are used as fitness functions, since the problem is treated as a multiobjective optimization task. Finally, the results of postlayout simulations, using the AMS 0.35 μm technology are presented.

Original languageEnglish
Title of host publicationProceedings - IEEE Computer Society Annual Symposium on VLSI
Subtitle of host publicationEmerging VLSI Technologies and Architectures
Pages81-85
Number of pages5
DOIs
StatePublished - 2007
EventIEEE Computer Society Annual Symposium on VLSI: Emerging VLSI Technologies and Architectures, ISVLSI'07 - Porto Alegre, Brazil
Duration: 9 Mar 200711 Mar 2007

Publication series

NameProceedings - IEEE Computer Society Annual Symposium on VLSI: Emerging VLSI Technologies and Architectures

Conference

ConferenceIEEE Computer Society Annual Symposium on VLSI: Emerging VLSI Technologies and Architectures, ISVLSI'07
Country/TerritoryBrazil
CityPorto Alegre
Period9/03/0711/03/07

Keywords

  • Design space exploration
  • Genetic algorithms
  • MOS current mode logic (MCML)
  • Multi-objective optimization
  • Pareto front

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