E-Book, Englisch, 186 Seiten, eBook
Cao Predictive Technology Model for Robust Nanoelectronic Design
1. Auflage 2011
ISBN: 978-1-4614-0445-3
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 186 Seiten, eBook
Reihe: Series on Integrated Circuits and Systems
ISBN: 978-1-4614-0445-3
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
Predictive Technology Model for Robust Nanoelectronic Design explains many of the technical mysteries behind the Predictive Technology Model (PTM) that has been adopted worldwide in explorative design research. Through physical derivation and technology extrapolation, PTM is the de-factor device model used in electronic design. This work explains the systematic model development and provides a guide to robust design practice in the presence of variability and reliability issues. Having interacted with multiple leading semiconductor companies and university research teams, the author brings a state-of-the-art perspective on technology scaling to this work and shares insights gained in the practices of device modeling.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
1;Predictive TechnologyModel for RobustNanoelectronic Design;4
2;Copyright;5
3;Foreword;8
4;Preface;10
5;Acknowledgements;12
6;Contents;14
7;Chapter 1: Introduction;18
8;Chapter 2: Predictive Technology Model of Conventional CMOS Devices;24
9;Chapter 3: Predictive Technology Model of Enhanced CMOS Devices;41
10;Chapter 4: Statistical Extraction and Modeling of CMOS Variability;58
11;Chapter 5: Modeling of Temporal Reliability Degradation;82
12;Chapter 6: Modeling of Interconnect Parasitics;96
13;Chapter 7: Design Benchmark with Predictive Technology Model;119
14;Chapter 8: Predictive Process Design Kits;134
15;Chapter 9: Predictive Modeling of Carbon Nanotube Devices;154
16;Chapter 10: Predictive Technology Model for Future Nanoelectronic Design;178
17;Index;180
1. Introduction.- 2. Predictive Technology Model of Conventional CMOS Devices.- 3. Predictive Technology Model of Enhanced CMOS Devices.- 4. Statistical Extraction and Modeling of CMOS Variability.- 5. Modeling of Temporal Reliability Degradation.- 6. Modeling of Interconnect Parasitics.- 7. Design Benchmark with Predictive Technology Model.- 8. Predictive Process Design Kits.- 9. Predictive Modeling of Carbon Nanotube Devices.- 10. Predictive Technology Model for Future Nanoelectronic Design.