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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Walker, J.A. Hilder, J.A. Tyrrell, A.M. |
| Copyright Year | 2009 |
| Description | Author affiliation: Intelligent Systems Group, Department of Electronics, University of York, Heslington, YO10 5DD, UK (Walker, J.A.; Hilder, J.A.; Tyrrell, A.M.) |
| Abstract | As the size of CMOS devices is approaching the atomic level, the increasing intrinsic device variability is leading to higher failure rates in conventional CMOS designs. This paper introduces a design tool capable of evolving CMOS topologies using a modified form of Cartesian Genetic Programming and a multi-objective strategy. The effect of intrinsic variability within the design is then analysed using statistically enhanced SPICE models based on 3D-atomistic simulations. The goal is to produce industry-feasible topology designs which are more tolerant to the random fluctuations that will be prevalent in future technology nodes. The results show evolved XOR and XNOR CMOS topologies and compare the impact of threshold voltage variation on the evolved designs with those from a standard cell library. |
| Starting Page | 1591 |
| Ending Page | 1598 |
| File Size | 1509134 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424429585 |
| DOI | 10.1109/CEC.2009.4983132 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-05-18 |
| Publisher Place | Norway |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Design optimization Libraries MOSFETs Semiconductor device modeling CMOS technology Integrated circuit technology Circuit topology Fabrication Genetic programming SPICE |
| Content Type | Text |
| Resource Type | Article |
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