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Simultaneous multi-topology multi-objective sizing across thousands of analog circuit topologies
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Source Annual ACM IEEE Design Automation Conference archive
Proceedings of the 44th annual Design Automation Conference table of contents
San Diego, California
SESSION: Mixed-signal modeling, methodology and synthesis table of contents
Pages: 944 - 947  
Year of Publication: 2007
ISBN ~ ISSN:0738-100X , 978-1-59593-627-1
Authors
Trent McConaghy  K.U. Leuven, Leuven, Belgium
Pieter Palmers  K.U. Leuven, Leuven, Belgium
Georges Gielen  K.U. Leuven, Leuven, Belgium
Michiel Steyaert  K.U. Leuven, Leuven, Belgium
Sponsors
: The EDA Consortium
: IEEE/CASS/CANDE/CEDA
SIGDA: ACM Special Interest Group on Design Automation
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 5,   Downloads (12 Months): 36,   Citation Count: 5
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ABSTRACT

This paper presents MOJITO, a system which optimizes across thousands of analog circuit topologies simultaneously, and returns a set of sized topologies that collectively provide a performance tradeoff. MOJITO defines a space of possible topologies as a hierarchically organized combination of trusted analog building blocks. To minimize the setup burden: no topology selection rules or abstract behaviors need to be specified, and performance calculations are SPICE-based. The search algorithm is a novel multi-objective evolutionary algorithm that uses an age-layered population structure to balance exploration vs. exploitation. Results are shown for a space having 3528 one- and two-stage operational amplifier topologies.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Trent McConaghy: colleagues
Pieter Palmers: colleagues
Georges Gielen: colleagues
Michiel Steyaert: colleagues