Meeting the design challenges of nano-CMOS electronics

Andy Tyrrell

Investigator

The Department of Electronics
The University of York
Heslington
York YO10 5DD
UK

web: http://www.elec.york.ac.uk/staff/academic/amt.html

Prof. Andy.M. Tyrrell is Head of the Intelligent Systems research group. He joined the Electronics Department at the UY in 1990 from Coventry Polytechnic. Between August 1987 and August 1988 he was visiting research fellow at École Polytechnic Lausanne, Switzerland. In 1998 he was promoted to Professor of Digital Electronics. He was a member of the IEE Professional Group on Hardware and Systems Engineering (A2), Chair for 1999/00. He was general programme Chair for the 5th ICES (International Conference on Evolvable Systems) in March 2003 and for the 6th IPCAT (International Workshop on Information Processing in Cells and Tissues) in September 2005. He is on the editorial board of IET Computing and Digital Techniques, IEEE Transactions on Evolutionary Computation, and Biosystems. He is chair of the IEEE task force on evolvable hardware. His main research interests are in bio-inspired designs, fault tolerant design, design of embryonic computing systems, and real-time systems.

Using the developed simulation methodology and the database of compact device and circuit level compact models made available across the Grid infrastructure, ISGUY will study the impact of next generation technologies, and related parameter fluctuations, on the design of digital circuits. Evolutionary computation enables solutions to multi-variable problems to be achieved often in novel, and surprising ways. Variability in device parameters offers evolutionary computation both challenges and opportunities. The challenges will involve setting up an evolutionary system using the complex Grid based models and workflows produced by other partners. Parameter fluctuations will form one set of input parameters to the evolutionary system, and will be used to evolve new solutions to alleviate the effects of these fluctuations. Given the complexity, and hence the size of the resulting design space, it is argued that only evolutionary methods are able to produce such solutions. The opportunities that fluctuations offer are only directly exploitable using evolutionary methods. That is, evolutionary methods can actually make use of these fluctuations in parameter space to produce novel designs that are outside the normal design space offered by more traditional methods. Both the challenges and the opportunities offer significant rewards to both the device modelling and evolutionary communities. These rewards however can only be achieved by the collaborations of these different communities, enabled by the e-Science technologies developed in this proposal.

	Meeting the design challenges of nano-CMOS Electronics UK consortium to use e-Science and Grid technology to tackle nano-CMOS design challenges
Menu Home People Publications Presentations Mailing Lists Partners Workshop Secure Site	You are here: Home » People » Andy Tyrrell Andy Tyrrell Investigator The Department of Electronics The University of York Heslington York YO10 5DD UK web: http://www.elec.york.ac.uk/staff/academic/amt.html Prof. Andy.M. Tyrrell is Head of the Intelligent Systems research group. He joined the Electronics Department at the UY in 1990 from Coventry Polytechnic. Between August 1987 and August 1988 he was visiting research fellow at École Polytechnic Lausanne, Switzerland. In 1998 he was promoted to Professor of Digital Electronics. He was a member of the IEE Professional Group on Hardware and Systems Engineering (A2), Chair for 1999/00. He was general programme Chair for the 5th ICES (International Conference on Evolvable Systems) in March 2003 and for the 6th IPCAT (International Workshop on Information Processing in Cells and Tissues) in September 2005. He is on the editorial board of IET Computing and Digital Techniques, IEEE Transactions on Evolutionary Computation, and Biosystems. He is chair of the IEEE task force on evolvable hardware. His main research interests are in bio-inspired designs, fault tolerant design, design of embryonic computing systems, and real-time systems. Using the developed simulation methodology and the database of compact device and circuit level compact models made available across the Grid infrastructure, ISGUY will study the impact of next generation technologies, and related parameter fluctuations, on the design of digital circuits. Evolutionary computation enables solutions to multi-variable problems to be achieved often in novel, and surprising ways. Variability in device parameters offers evolutionary computation both challenges and opportunities. The challenges will involve setting up an evolutionary system using the complex Grid based models and workflows produced by other partners. Parameter fluctuations will form one set of input parameters to the evolutionary system, and will be used to evolve new solutions to alleviate the effects of these fluctuations. Given the complexity, and hence the size of the resulting design space, it is argued that only evolutionary methods are able to produce such solutions. The opportunities that fluctuations offer are only directly exploitable using evolutionary methods. That is, evolutionary methods can actually make use of these fluctuations in parameter space to produce novel designs that are outside the normal design space offered by more traditional methods. Both the challenges and the opportunities offer significant rewards to both the device modelling and evolutionary communities. These rewards however can only be achieved by the collaborations of these different communities, enabled by the e-Science technologies developed in this proposal.

Meeting the design challenges of nano-CMOS Electronics

Andy Tyrrell

Investigator