Meeting the design challenges of the nano-CMOS electronics

Lead Research Organisation: University of York
Department Name: Electronics

Abstract

See Joint Proposal E241901

Publications

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Andrew Martin Tyrrell (Author) (2011) The Evolution of Standard Cell Libraries for Future Technology Nodes in Journal of Genetic Programming and Evolvable Machine

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Andrew Martin Tyrrell (Author) (2010) Measuring the Performance and Intrinsic Variability of Evolved Circuits in 9th International Conference on Evolvable Systems

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Andrew Martin Tyrrell (Author) (2009) Towards Evolving Industry-feasible Intrinsic Variability Tolerant CMOS Designs in 2009 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-5

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Andrew Martin Tyrrell (Author) (2008) Evolving Variability-Tolerant CMOS Designs in 8th International Conference on Evolvable Systems

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Andrew Martin Tyrrell (Author) (2009) Optimising Variability Tolerant Standard Cell Libraries in 2009 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-5

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Walker J (2011) The evolution of standard cell libraries for future technology nodes in Genetic Programming and Evolvable Machines

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Walker JA (2010) Optimizing electronic standard cell libraries for variability tolerance through the nano-CMOS grid. in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

 
Description Using the developed simulation methodology and the database of compact device and circuit level compact models made available across the Grid infrastructure within this large multi-institutional project, we studied the impact of next generation technologies, and related parameter fluctuations, on the design of digital circuits. During the project we developed:
• Evolutionary techniques to be used within device models to alleviate parameter fluctuation problems.
• Showed how parameter variation datasets can be best used by evolutionary techniques to improve system performance.
• Illustrated how evolutionary techniques can be used to limit the effects of parameter variations.
Exploitation Route The developments within this project showed that novel evolutionary methods can be used to give real and important improvements to microelectronics design, particularly when faced with variability. This has been exploited through a University spin-out company.
Sectors Digital/Communication/Information Technologies (including Software),Education,Electronics

 
Description A number of conference and journal publications have results from the work undertaken on this project. Some follow-on funding was obtained to take some of the result of the project closer to commercialisation. Following on from this a University spin-out company was formed in 2012.
Sector Digital/Communication/Information Technologies (including Software),Education,Electronics
Impact Types Economic

 
Company Name ngenics Global Ltd 
Description EDA tools to perform optimisation of digital and analogue circuit designs. 
Year Established 2012 
Impact The company has had a number of contacts to undertake cell optimisations for UK and Japanese companies.
Website http://www.ngenics.co.uk