Meeting the design challenges of the nano-CMOS electronics
Lead Research Organisation:
University of Southampton
Department Name: Electronics and Computer Science
Abstract
See Joint Proposal E241901
People |
ORCID iD |
| Mark Zwolinski (Principal Investigator) |
Publications
Merrett M
(2014)
Monte Carlo Static Timing Analysis with statistical sampling
in Microelectronics Reliability
Yangang Wang
(2010)
Statistical power analysis for nanoscale CMOS
| Description | How to abstract device-level variability up to logic-level design techniques. Heavy use was made of eScience methodologies. |
| Exploitation Route | See exploitation routes. Estimations of systems behaviour in the presence of variability have tended to be overly pessimistic. By showing how correlated and uncorrelated variability can be better modelled, the degree of pessimism is much reduced. Hence this is of significant interest to the integrated circuit design community. There is also interest from design tool vendors. |
| Sectors | Energy |
| Description | This was part of a larger project involving 5 universities. The contribution from Southampton hasn't led to any direct impact, although we have looked again at some of the ideas for use in other applications. |
| Description | Knowledge Transfer Secondment |
| Amount | £55,000 (GBP) |
| Funding ID | EP/H500243/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2011 |
| End | 02/2012 |
| Description | University of Southampton |
| Amount | £45,259 (GBP) |
| Funding ID | KTS |
| Organisation | University of Southampton |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 01/2011 |
| End | 02/2012 |